An opportunity in the crisis: Is bridging the career cliff for women the key to fighting accounting staffing shortages?

Bright green arrows moving towards a bigger beige arrow.

Every business in every industry right across the world has had massive challenges over the last 16 months. There’s nothing ‘standard’ about our standard operating procedures anymore. Almost every business has been forced to adapt – and those that haven’t been forced have definitely given more thought to business continuity, business risks, and threats to their operating model.

Lately, it seems necessary to become comfortable with change, and we are also seeing a willingness to pivot. The idea that we get up, go to work, and come home is not the same as it was pre-March 2020, and likely will never be.

For the accounting industry, the pandemic has exacerbated the talent challenges we traditionally face:

  • International travel restrictions prevent us from accessing secondee resources
  • Post busy-season burnout is now more prevalent, with reporting deadline extensions removing any workflow troughs that were once a saving grace
  • What was previously an ‘earned privilege’ – working from home and general work flexibility – is now a day one baseline expectation
  • Because challenges are profession-wide, we’re losing more and more talent to commercial roles in the industry, as qualified professionals start the path to CFO, where, let’s face it, the pay and recognition are better than we’re used to delivering in our accounting firms

We absolutely do have a pipeline issue, no doubt.  Many students are enticed away from accounting studies into bright shiny STEM subjects at university.  We also have a persistent gap between the skills we’d love in our team and the skills we have today in the workforce. There are not enough data and tech savvy unicorn accountants to go around.

But our immediate challenge is in simply getting the work done: we do not have enough people! 

The laws of supply and demand are in full swing. Salary expectations are through the roof, with the Big 4 and even large mid-tiers poaching any senior staff they can get, offering massive salaries and signing bonuses.  We need people in our firms like we all need oxygen.

But what if there was a readily available talent pool that we’ve overlooked in the past? A talent pool that could not only assist with our acute capacity issues today, but could build resilience within our teams, even support our brands becoming employers of choice.  We should all go for it, right?

What is the Career Cliff?

We’re all likely familiar with the glass ceiling – an unacknowledged barrier to advancement in a profession, especially affecting women and minorities.  What worldwide data shows us, is that not only is advancement in our firms challenging for women, but that our profession is losing women all together – a career cliff, if you like.

Very consistently across the globe we see gender parity in our graduates of accounting and finance degrees, for example, as reported by the Financial Reporting Council below.

A graph showing the percentage of female accounting students enrolled on professional accounting courses with accounting bodies registered in England, Wales, Scotland and Northern Ireland (Financial Reporting Council, 2016)

But by the time our graduates progress to their mid-career level, we start to lose women from our firms.  On average, we are able to maintain a nice even mix through Associate and Manager levels only to see our women suddenly fall from the career cliff, with only half still remaining at Partner level.

Graph showing the percentage of women in roles as they climb the firm's ladder.
Source:
https://www.aicpa.org/content/dam/aicpa/career/womenintheprofession/downloadabledocuments/2019-cpa-firm-gender-survey.pdf

 

Where do all the women go?  Perhaps the more relevant question is – WHY do all the women go?

A Handful of Whys

Across global geographies, accounting industry membership bodies and regulatory authorities regularly report on all elements of the profession, including remuneration and diversity of representation.  Consistently, all of these bodies confirm evidence of a gender pay gap, the mere existence of which is discouraging to the plight of ambitious women in our industry: : 

 

In addition to this, and discouragingly, the same data also indicates that the majority of men in the industry believe that the gender pay gap is a myth.   

“70 percent of male respondents don’t think this issue exists”
source: CA ANZ 2021 Remuneration Survey

As Marian Wright Edelton said “you can’t be what you can’t see,” and our industry has significantly lower representation of women in senior leadership. The AICPA’s 2019 US CPA Firm Gender Survey, data collected by the Australian Financial Review and the UK’s Top 50+50 survey all confirm roughly an 80:20 split of male and female partners in our firms.  So after achieving parity at most levels of the firm as team members progress, once women reach director and partner level – off the career cliff they tumble.  

Women frequently leave our esteemed profession because they don’t believe they can achieve the balance and workplace flexibility they need to perform at their A-Game at work and in life.   Whatever the reason, the traditional commute and requirement to be physically in the office can significantly affect balance, happiness, and even productivity.  So we see women leaving our firms. Some start their own consultancy. Some leave the profession altogether.  

The Opportunity

Gender and moral obligation aside, increasing diversity in our firms is proven to be a sound business strategy resulting in significant commercial outcomes. McKinsey’s most recent Delivering Through Diversity report found that firms that embrace diversity on their executive teams:

  • were more competitive, and 
  • 21% more likely to experience above-average profitability

Encouragingly, there are also wins in the journey, rewards for all efforts, with research showing that financial performance increases in line with increased diversity in leadership.

 

A graph showing executive teams with more than 30% women are more likely to outperform those with fewer or no women.
Source:
McKinsey – Diversity Wins: How inclusion matters

We have the opportunity to access the critical capacity we need right now and build resilience in our talent succession pipelines when we work deliberately to entice women back to our firms and help them bridge the career cliff.

But how?

A classic accounting adage – “what gets measured gets done.”  Our competitors have an advantage if anyone in our firm perceives that they’re underpaid. We can mitigate this perception by performing regular gender pay audits to identify inequities and make the necessary corrections.  In the UK, mandatory gender pay gap reporting is creating an awareness and accountability loop that has had a real impact since its introduction in 2017 with the gender pay gap closing by almost 20% across the reporting group.    

We should be proud about our ambitions for diversity and inclusion, so let’s set targets and publicise why diversity is important for our firms and the profession in general. The AICPA Survey reported only 6% of US firms surveyed have a formal gender component embedded in their succession plans. And, so for our firms that adopt this deliberate and transparent action, this is a huge opportunity to attract top female talent.   Julie McKay, partner and chief diversity, inclusion and wellbeing officer at PWC Australia, said recentlyTargets have assisted the firm to move from 19% women in the partnership in 2016 to more than 30% in 2021.” 

Today’s workforce, regardless of gender, expects workplace flexibility. US firms supporting flexible work arrangements reported the significant impacts on attraction and retention of all staffand this was pre-Covid!

Graph showing the percentage of firms that said MWAs helped address top staffing concerns.

Supporting workplace flexibility that allows all team members, but especially women to better balance the demands of their home life with work is mission-critical to attracting, retaining and promoting women in our firms.. 

In a Covid-induced state of flux, the landscape is perfect to shift the way we think about retaining talent in our firms.  In particular, the way we retain, promote and win-back women. 

At MindBridge, we’re passionate about empowering future female leaders of STEM.  Through our HERoes program, we’re engaging women to change the future of the technology industry.  

Read more about the MindBridge HERoes program HERE.

The state of accounting staffing: How firms can fight shortages

Abstract imagery depicting a search, location, and growth into the accounting staffing field.

The Big 4 are gobbling up all the new grads, and smaller firms are struggling to find the incredible talent coming out of accounting schools around the world. What can they do to set themselves apart, and tackle the beast of accounting staffing?

As countries around the world begin to emerge from the COVID-19 pandemic, small business owners and corporations are discussing ways for their employees to work in our new reality. Some have seen growth, some have struggled. But, beyond performance, COVID-19 has been a wake-up call for many, teaching business leaders the value of remote work, and expanding their talent pool. 

Accounting firms are continuing to analyze and assess the performance of remote workers, client satisfaction, and more to determine the best way forward. 

It seems like this would be a great time to hire additional workers, right? Or, at least to review hiring processes, staffing, and other recruitment initiatives. 

Well, it certainly would be if there were workers available. Unfortunately for the accounting realm, we are facing a severe global skills shortage

It’s not just the finance sector that is struggling to find workers, though. Around the world, numerous industries are grappling with an unprecedented talent deficit

In the United States, there were a record 9.3 million job openings in April 2021, while the United Kingdom saw advertised job vacancies jump 45% between the end of March and mid-June. So, it goes without saying that the competition for retaining and acquiring talented workers is fierce.

A CNN graph from the US Bureau of Labor Statistics and the UK Office for National Statistics on the rising number of open roles in each respective country.

While higher wages might seem like the easiest answer, it’s not quite that simple.

The challenges of accounting staffing

A persistent skills gap

It’s no secret that job openings and required skills in the accounting industry aren’t the same as they used to be. While there is vast potential with the continual adoption of financial technology and tools, finding talent with the appropriate skill set to fully utilize said tools is challenging. On top of that, recruiters focusing on accounting staffing have to compete for talent against industry competitors like the Big 4, as well as various tech companies. 

An adept ability to crunch numbers and implement Excel formulas used to suffice for a job in finance. However, as technologies have evolved and many innovative tools can now automate rote and tedious tasks like these, accounting firms are expanding their expectations to include digital skills such as data analytics and business modelling in candidates. However, the academic side of the equation has struggled to keep up to the evolving industry by offering an accounting curriculum that covers these ‘new’ skill sets. 

And therein lies a major crux of the skills gap plaguing the accounting industry: bridging the gap between academic and workforce expectations for new accounting graduates. Today’s students will become tomorrow’s accountants. As such, they need to be prepared for real world situations, which increasingly includes using and understanding the tools that are reshaping their roles, and the larger finance sector.  

Retention struggles

Recruitment isn’t the only staffing issue the accounting sector is wrestling with. Retention has been a struggle for the financial industry since the 2007 financial crisis

 As an article from Thomson Reuters put it: “High turnover rates have practically become synonymous with accounting firms, sometimes reaching up to 30% at large audit firms.”

According to the latest Inside Public Accounting annual survey, staff turnover averaged 13.7% across all accounting firms, with the most significant increase in turnover rates from firms in the $10 million to $30 million range.

There is also another retention threat looming on the horizon. As COVID-19 restrictions ease, ‘The Great Resignation’ is an emerging employment hurdle that companies will need to grapple with. 

“According to a recent report by job site Monster.com, a staggering 95% of workers are considering changing jobs, and 92% are willing to switch industries to find the right position.”

There is some good news when it comes to lowering turnover rates, though. The ability to improve employee retention rests almost entirely in the employer’s control.

How to address accounting staffing issues

The remote work conundrum 

Even as things return to “normal,” work will never be the way it was pre-pandemic.

 Zoom meetings and PJs have become our new norm. As a result, people have become accustomed to the flexibility of remote work. Many enjoy being able to grab groceries in the middle of the day, take an afternoon break to go for a run, or pick up their kids from school without having to worry about being absent from the office. So, it’s not surprising that many are resisting going back to the nine-to-five grind.

A person stares out of their window while working from their kitchen table, potentially considering their next career move.

“The EY 2021 Work Reimagined Employee Survey found that more than half (54%) of employees surveyed worldwide would quit their job if they aren’t offered enough post-pandemic flexibility on when and where they work.”

“Flexible working is the new currency for attracting and retaining top talent,” noted Liz Fealy, who leads EY’s global workforce advisory group. Interestingly enough, many firms are still considering returning to brick and mortar offices. 

According to AccountingToday, 61% of accountants plan to keep their current brick and mortar office footprint. Though, many have cited that this workspace will primarily be used for client meetings, training sessions, and other administrative work.

So, as you can see, the future of accounting staffing seems to depend on who you ask.

 However, having a company plan for full remote or hybrid work models goes far beyond the immediate post-pandemic return-to-work response.

 A PwC report on the Canadian workforce found that financial services employees have a higher preference for remote working than any other industry the survey measured. 58% of financial services employees say their ideal workplace is entirely or mostly remote, compared to 34% for employees surveyed across all industries.

“In addition to retaining current talent, flexible work arrangements are paramount to attracting new talent from the Gen Z workforce. In a survey of Gen Zers by the Association of Chartered Certified Accountants (ACCA), 23% listed flexible working arrangements/working from home as being one of their top five attractions for employment”

A person sits on their couch working from their tablet, accompanied by their orange tabby cat.

All of this isn’t to say that remote work is a perfect or easy solution. Far from it. It also doesn’t suit every person or every position. Then, how do companies deal with remote work arrangements moving forward? 

For starters, being open and transparent and asking employees for input on what they need and want going forward. This includes ensuring they have the right tools that not only enable but also enhance remote work. For example, tools utilizing artificial intelligence (AI) and automation are beneficial in helping workers maintain productivity and collaboration outside of the traditional office space.

Investing in upskilling

People are a company’s greatest asset. But, the need to invest in that asset is often forgotten. 

Organizations that have invested in upskilling their employees’ tech capabilities have seen the return on investment: one survey from PwC found that 74% of those who reported an improvement in talent retention and recruitment because of digital investments said “the level of improvement met what was expected or even more.” What’s more, CEOs who have made investments in their upskilling programs are more optimistic about their company’s growth prospects than those who haven’t.

 From an ACCA report, 49% of Gen Z respondents ranked “opportunities to continually acquire new capabilities/learning” as one of their top five attractions for employment – more than any other factor listed. The report also notes that eagerness to learn, combined with Gen Z being “’fantastic ambassadors and early adopters’ of tech … could help the rest of the business adopt digital.” In fact, 91% of Gen Zers said they expect to update their capabilities continually to remain employable in the future. Younger generations are more than willing to learn new skills, and it’s up to organizations to capitalize on the opportunity. 

What’s more, an upskilling program is one way that companies can overcome the very same, growing skills gap affecting the accounting industry today. 

Firms need to realize that the “old-school” accounting skill set won’t suffice. Investing in new technologies and exploring different ways of working must be prioritized for every accounting organization. A case in point: 82% of financial services employees believe upskilling would improve their job performance.

Two people sit at a conference table discussing a presentation on risk management, threats, and more.

Moreover, younger generations like millennials and Gen Z believe that technology can make them more effective at work. Many even feel constrained by what they view as “outdated traditional working practices.” Younger employees entering the accounting workforce have no desire to plug numbers into Excel for hours on end. They want the skills and ability to use the latest technology that is rapidly changing the industry.

Of course, the onus isn’t on accounting firms alone. As was noted earlier, there is a need to ensure that the academic curriculum is adequately preparing new graduates for the accounting work they will undertake in the field, including using AI and automation technologies that are becoming all the more prevalent in accounting. That’s why many organizations, including MindBridge, are committed to helping students receive hands-on training with new technologies by bringing AI and data analytics into the classroom.

The MindBridge University Alliance program allows educators to easily teach their students the importance of AI and data analytics for accounting and financial services.

Embracing technology

Investment in technology is the common theme for solving the shortages in accounting staffing.

 We’ve said it before, but it’s worth repeating: it is not accounting technology replacing accountants – it’s accountants adopting technology that are replacing those who are not. As we say at MindBridge, while our technology may be AI-embedded, it’s human-powered.

Technology like AI and automation is becoming the new norm in the accounting industry. Firms that embrace and invest in these innovations are the ones who will continue to thrive — both in terms of attracting clients and employees. Firms that invest in technology are far more likely to recruit new and upcoming talent while retaining existing staff by differentiation from the thousands of other firms in the market vying for the same qualifications.

 Of course, implementing new technology into your business practice doesn’t happen overnight, and it’s a process that may require brushing up on some change management best practices. But finance teams need to start investing now in long-term solutions that will position them and their workers for success. Because just like remote work, AI and automation are here to stay.

For more articles like this one, visit our blog

To learn more about how the MindBridge Audit Approach can benefit your firm, download our briefing paper

How to prepare accounting students for an evolving industry

Abstract imagery of growth, development, evolution, education, and the future.

Preparing for an accounting career is much more complex than you may think.

Once upon a time, our grade school teachers drilled into us that we wouldn’t always have calculators in our hands to help tackle the world’s everyday math problems. Little did they know that our smartphones would be cleverly fitted with a default calculator app, perfectly for the palms of our hands.

In the latest acknowledgement of this phenomenon, it seems that today’s accountants are facing a similar issue – the industry is moving too quickly for educators to catch up, and to prepare their students properly for a shifting accounting career.

Which begs the question, is it time to update the curriculum?

Changes for the 21st century

Technological advancements: Accounting, audit, and beyond

A lot has changed since the last generation of accountants began their careers, and the consensus among them is that they are looking for today’s graduates to be agile, flexible, and adaptable with whatever technologies are thrown their way. 

Whether it be for spreadsheets, tax preparation, research software, communication, and data analytics — today’s professional accountants use technology constantly

A learned profession like accounting requires years of study, licenses, and a mindset that recognizes the need for continuous learning. In an article for CPA Journal, Stephanie M. Bryant, the Executive Vice President and Chief Accreditation Officer at the Association to Advance Collegiate Schools of Business (AACSB) International, writes about the large skills gap she experienced when she began her first professional accounting job: “It was my job to be an expert,” she writes. “The difference between making a grade in a class and working on a real client issue was quite a wake-up call for me.”

“It was my job to be an expert,” she writes. “The difference between making a grade in a class and working on a real client issue was quite a wake-up call for me.”

Years later, she said, the skills gap has persisted, with the theory portions being extensive in the curriculum while major gaps related to the currency and relevance of actual accounting practices persist. In particular, a student’s ability to synthesize and apply information critically — with or without the use of ever-changing technology. “It is essential that students develop technological agility and a growth mindset to be successful in today’s work environment.” 

Bridging the gap: Theory vs reality

When AACSB-accreditation was introduced for business programs, it helped establish a standard of quality that ensured the curriculums met the needs found in professional settings. But still, gaps persisted. 

According to the same CPA Journal article, in 2018, a task force of 19 highly respected accounting educators and accounting practitioners—including leaders from the National Association of State Boards of Accountancy (NASBA), the Institute of Management Accountants (IMA), the AICPA, and public accounting—worked for almost 20 months to develop updated accounting standards that would bridge the gap between academic and workforce expectations for new accounting graduates.

It was determined that, since accounting is a rapidly changing field, schools intend to prepare students for an accounting career it must ensure their content is reflective of the work new graduates will be expected to do by reviewing their courses and curriculum regularly.

A student learns about AI and audit technology remotely while working from a well-lit cafe.

In an article from CFODive, Paul Clancy, Senior visiting lecturer of finance at Cornell University spoke to the changes, addressing that the fundamental qualities to succeed are much the same; strong analytical skills, critical thinking skills, perseverance, integrity and teamwork. He noted that “these skills, many of which are developed at your university or college, can continue to be honed throughout life.”

An accounting career in our virtual world

A new challenge that today and tomorrow’s accountants must face is our virtual reality. No, not video games. Remote accounting and audit work has created new obstacles for today’s financial professionals that the next generation need to prepare for. 

As much as we’re all looking forward to getting “back to normal,” many doubt that fully remote or hybrid financial work is going anywhere.

A professor working on their accounting curriculum remotely from an outdoor cafe.

In light of this, educators must stress the importance of remote work and learning by introducing engaging tools and platforms for their students. We’ve all taken a class from home that we’ve written off as “too easy,” or “not worth our time.” But, given the not-so-distant future of physically-distant accounting, it’s time for students and educators to take things more seriously.

For many accountants, searching for tools that enable and enhance remote work has been crucial. Continuing to thrive outside of the office requires a different mindset, approach, and specific tools. Tools that utilize artificial intelligence, machine learning, and more automation-based technologies are making their way into tech stacks around the world. 

But, just because they can make work more efficient, doesn’t make them simple to learn.

Technological agility and resilience

Moreover, agility has become a crucial skill for new finance teams. New graduates are beginning to recognize the importance for finance professionals to broaden their digital skills to include data analytics, risk management, cybersecurity and business modeling into their repertoire.

With that, the 2018 standards incorporated a theoretical shift to include technological agility as a new focus. Today’s accounting students must be able to adapt to new technologies quickly and continuously. Specifically, a focus on artificial intelligence and data analytics are of particular interest, but are frequently missing from university and college classrooms.

To find out more, we spoke with an active educator in a university accounting classroom.

Ann Vanstraelen, Full Professor of Accounting and Assurance Services and Chair of the Department Accounting Information Management (AIM) at Maastricht University in the Netherlands, had been searching for a way to better incorporate emerging technologies like AI into their curriculum.

She notes the traditional, “old way” of teaching accounting was to teach Excel skills and then assign a project that would reinforce those particular Excel skills. However, to be more effective and prepare students for real world circumstances, Vanstraelen notes, educators must expose students to a problem, ask them how best to address it, and require them to identify the different pathways to a solution. 

This involves determining which current technologies and datasets to use, where the relevant sources are, and how they would integrate and synthesize facts to create a solution. 

According to Vanstraelen, this mindset is paramount to success in the new age of accounting:

“Students hear about AI in the news and media quite extensively and want to learn more about it. By the time they graduate, students need to understand data analytics in a context beyond the textbook.”

Thankfully, Vanstraelen came across the Mindbridge University Program, which allowed her to integrate these topics into her existing curriculum at no extra cost. Plus, the students love it.

“They are positively surprised that they get to use it in such a hands-on fashion in our bachelor auditing and fraud detection course and appreciate that we’re letting them see how it actually works and how it’s used in real accounting practices.”

Like MindBridge, many organizations are beginning to explore the value of preparing the professionals of tomorrow with tools and knowledge today. The accounting world is rapidly evolving. Without the proper technology and knowledge, tomorrow’s accountants and auditors will graduate unprepared. We believe it is our duty to help educators bridge the gap between books and technology, theory and reality, education and an accounting career. 

Read on to learn more about how the MindBridge University Alliance Program is helping students and educators get ahead.

How companies and firms are helping to bridge the gap from school to an accounting career

In 2018, MindBridge launched the University Alliance Program, an initiative designed to introduce the next generation of accountants and auditors to the power of artificial intelligence in augmenting the financial processes.

Since then, the University Alliance Program has been adopted by over 100 universities and colleges around the world. The curriculum offers educational materials with hands-on case studies and training, allowing students to learn and experience the power of artificial intelligence and data analytics in performing a financial analysis using MindBridge. With the material being incorporated into advanced audit, data analytics, accounting information systems, and fraud investigation courses. 

Here’s an example of a classroom case study would look like:


Finding fraud using AI

Background
  • Introduce students to the fictitious story of a construction company whose practices raised some red flags during audit planning
  • A general ledger data set is provided with the case study
Task
  • Upload the provided data set into MindBridge and adjust the risk scoring engine as per instructions
  • Identify potentially fraudulent transactions using a combination of AI-generated insights and professional judgement
Learning outcome
  • Students get insights into the applications of AI for audit
  • Students get introduced to AI-human partnerships

Ryan Teeter, a Clinical Assistant Professor at the University of Pittsburgh has incorporated MindBridge into his graduate courses, and after finding success, wants to bridge the content into his undergraduate classes as well. “Being able to have something that is straightforward and shows the different techniques while also piquing the undergraduates interest toward data analysis, risk scoring, and applied statistics are areas that are very useful,” he said.

Professors from around the world are seeing the value of bringing AI and data analytics into their classrooms. To learn more about them, check out our case studies and customer stories.

For more information on how you can participate in the MindBridge University Alliance Program, or to apply, click here.

A fireside chat with Russ Jones: Shopify, AI, and the future of the CFO

Russ Jones, former CFO of Shopify, chatting with Clubhouse group, Accounting and Finance Tech.

Unless you’ve been living under a rock for the past several years, you’re well aware that Shopify is one of the biggest IPO success stories in recent history. One of the individuals who was integral in taking Shopify public in May 2015 (and doing so successfully) is Russ Jones, former CFO of the Canadian tech giant from 2011 to 2018. 

Recently, our very own founder hosted a virtual fireside chat with Russ.

Given Russ’s experience, it’s no surprise that he had a wealth of insightful information to share – from his time with Shopify and taking the company public, to how best to present financial information, and what the future holds for CFOs.

Below is an excerpt highlighting some of the key discussion points between Solon and Russ. 

This interview transcript has been edited for clarity and length.

 Solon Angel: Russ, instead of me talking about you, why don’t you introduce yourself and tell us a bit more about yourself?

 Russ Jones: Sure. I’m a CPA, and I’ve been in the industry for 40 years now, so I’ve been around the block a little bit. My most recent full-time role was the CFO at Shopify, which I joined when the company was 50 employees and my team was a part-time accountant and the CEO’s mother-in-law. I took public in 2015, and then I positioned myself as the first official retiree from Shopify. I retired about three years ago, and since then I’ve been doing a number of board and advisory engagements.

Solon: What got you interested in finance in the first place?

 Russ: I really credit it back to an excellent high school teacher who was a CPA and then decided to teach. I had that individual for both accounting and economics courses, and I did quite well in those. I found a lot of interest on the finance side, in numbers and thinking about businesses. The skills that you get opens up a number of doors. Because you have that finance skill set, you get involved in lots of the conversations, so it allows you to understand and add value to a business and partake in a lot of the decisions that get made.

 Solon: When you mentioned Shopify and how early you joined them as CFO, at an early stage like that, did you know one day you would take them public? Did you see that this company could be a unicorn and Canada’s most valuable tech company?

 Russ: Absolutely not. Although I had a number of signals that I used to sort of gauge opportunities. One of the things was that Shopify, as a Canadian company, had tier-one U.S. VC (venture capital). So, to me, that’s always a good indicator. 

The other thing that attracted me was that the thing the company needed to get to the next level was a skill set I brought to the table. I was the grey-haired person in the room helping these young entrepreneurs to keep the company going and scaling. 

The last thing I really liked was the business model; Shopify is a business where you get paid every day. Having been involved in companies that are doing enterprise software where at 11 o’clock on the last night of the quarter you don’t know whether you’re going to do five or 10 million dollars, it’s actually nice to have a company where you know you’re going to get some revenue every day. So, those three things are what attracted me .

 Solon: Looking back, what was the biggest problem that you had dealing with financial operations at Shopify? What was your biggest success?

 Russ: Right from day one that I joined Shopify – and this goes back to your question about did I think they would go public – obviously at that stage, no one knew, but my view is that you always build a company so that it could go public. On the scaling side, the biggest issue is how to introduce finance requirements and controls in a very entrepreneurial-type environment. you really want not to be seen as just a sort of police force of the company and always saying no. And so, about creative ways you can add value and assist in the company’s growth versus becoming an impediment there. 

One of the things we always thought about at Shopify is in the same way that tech companies think about building up technical debt over time, how do you keep reducing managerial debt. A lot of companies, if something goes wrong, they’ll introduce a whole process to make sure it never happens again. I think a better approach is if someone has done something wrong, deal with that. Don’t introduce something that’s going to slow the company down. 

The other point I would like to hammer home is that there is a difference between going public and being public. These days, it can be faster for a company to go public. But if you’re not ready to be public, that’s where a lot of the challenges arise. It’s important to think about both things – am I ready to go public, and am I ready to be public?

Telling the story of the numbers as CFO

Solon: In your time with Shopify, what was your experience with internal and external audits? Were they effective?

 Russ: I think on external audit, to start down that path as soon as you’re ready is a good discipline to have. It also forces some operational best practices within the finance group and the company itself. In terms of the internal audit function, that is one you can start to add a little bit later in terms of the function itself, though the underlying controls you should start to put in place early on because trying to add them later is never the most effective way of doing it.

“As the finance leader, you need to be able to transition into the story of the numbers versus just the numbers themselves”

I think there are a couple of even more important things. As the finance leader, you need to be able to transition into the story of the numbers versus just the numbers themselves. I think that’s the real skill. The other thing to think about is what are the key metrics that I need to talk about to explain the company and how the company is run. But, on the flip-side, you also think about metrics you don’t want to talk about how do you answer questions around that.

An example is that, for Shopify, one of the metrics we didn’t want to talk about was the unit churn number. The reason for that is the role of Shopify as a platform is to allow lots of different merchants to try to start their business. The whole philosophy of making it easy to get up and running and making it very cost-effective was really ingrained into the company. The best way to keep your unit churn number down is not to have people join the platform who aren’t going to be successful, so you make it tougher for them to join. We never did talk about that externally, but every investor we met with would ask us that question. The way that we dealt with this is we had a revenue retention number of over 100%. So that way, we could explain that not every merchant is going to be successful, but the ones staying on the platform generate more revenue as a cohort month over month.

Solon: That is a very important point. I think a lot of people underestimate the power of positioning facts in a meaningful and valuable way for people to understand.

Russ: And as you move up in finance in terms of leadership roles, that ability to summarize and present the information is the real skill that gets developed over time. I see that as a tipping point for some people that, for example, would send the board Excel workbooks with just reams and reams of information, where really at that level you want one or two slides that tell the story and then you can answer questions. 

The current and future role of the CFO

Solon: To what extent is a CFO involved in managing and mitigating risk for a company like Shopify? Does that role change when the organization gets larger?

Russ: I think risk is something that companies have from the very beginning. As bigger, you start, on both the finance and the legal sides, hiring people that spend a larger percentage of their time on just that. But is a cross-company type of thing. The high-level risks that a company deals with aren’t just financial risks or legal risks; they’re operational risks to a large degree. Understanding what those risks are and making sure that the right group is taking care of them is  an important part of any fast-growing company.

“As data and machine learning and artificial intelligence become more important, I think there is a real role for finance to play”

 Solon: When thinking of the finance industry at large and the role of CFOs and finance professionals, what concerns you the most today in what you see in the profession?

 Russ: Yes, there are concerns, but I’m also excited about all of the opportunities out there. I think the one concern I have is with the industry right now and the number of SPACs (special purpose acquisition companies) out there chasing companies. I do worry about companies that aren’t ready to go public starting to go public. But having said that, I do believe the finance role itself is expanding. As data and machine learning and artificial intelligence become more important, I think there is a real role for finance to play. So, overall, I would say I’m quite excited about it.

For more industry and thought provoking articles, visit our blog.

Change management: What is it, and why is it important?

Change is scary. But with a little risk, a lot of planning, and some extra effort comes an opportunity for growth and reward. That’s what makes change management so important.

As a manager, department head, or executive how do you know when it’s time for change? How do you invoke change within an organization, and how do you get others on board?

Studies in what’s known as change management have shown that there is no one single answer to what most influences and leads to successful transformation initiatives.

In recent years, change management strategies have focused on soft factors like culture, leadership, and motivation. Each of these play a key role in a successful transition. But, for change to truly take hold, it’s also important to focus on the hard factors like duration, integrity, commitment, and effort.

In this article, we’ll discuss the definition of change management, address corporate responsibility during the process, what you and your team need to do to be successful, and show you the best ways to implement transition skills  and best practices into your organization and projects.

What is change management?

Change management is a big, daunting term, let alone task. It’s a rather condensed way of explaining the process when an organization takes on projects or initiatives to improve performance, address key issues, and seize new opportunities. These endeavors may require companies to shift their methodologies, roles, organizational structures, and perhaps even the types of and uses for technology.

Successful transitions dependent upon four core principles. These principles are important to understand before undertaking a large shift in processes or anything else, no matter what the context:

  1. Understanding change – Understand the questions that need to be asked, the why, and the “ins and outs” of the change.
  2. Planning change – This looks different for every organization, but can include achieving high-level sponsorship, identifying stakeholder involvement, and motivational techniques and establishing a team responsible for managing the change.
  3. Implementing change – Roll out the change, ensure everyone has been trained on the new process, technology, etc, knows what their role is and the importance they play in affecting change.
  4. Communicating change – Tools to help everyone understand why the change is happening, the positive effects that will come and the steps to required to ensure success.

Now, that’s just a brief overview. Here’s an in-depth review of these four principles, and how each of them help you work toward successfully-managed change in your organization.

Understanding change management, implementing best practices

Understanding change management begins by understanding its three important levels

According to Prosci, a change management solution, the three levels are: 

  • Individual 
  • Organizational 
  • Enterprise 

In this model, enterprise change management is therefore dependent on both successful individual change management and organizational change management. Each of these aspects build onto one another to enact lasting, ingrained change across your department, team, or organization.

Individual change management – This will require tapping into the mind of your employees. It requires understanding how people experience change and what they need to handle it successfully, and thrive post-implementation. 

ADKAR is a great acronym created by Prosci founder Jeff Hiatt that represents the five tangible and concrete outcomes required for individual staff. 

The acronym stands for:

A – Awareness of the need for change
D – Desire to support the change
K – Knowledge of how to change
A – Ability to demonstrate skill and behaviors
R – Reinforcement to make the change stick

A – Awareness of the need for change
D – Desire to support the change
K – Knowledge of how to change
A – Ability to demonstrate skill and behaviors
R – Reinforcement to make the change stick

For success at the individual level of change management, companies need to be able to communicate these five ADKAR elements to their employees in order for them to understand why the necessity of the change, where the change is coming from, how they can support the change, and how they will be impacted from it and the benefits the change represents.

Organizational change management – These are the steps and actions taken at a project level to support the individuals impacted by the ongoing change process. It starts by identifying the groups or people who will need to change, and in what ways. Once identified, successful organizational change management requires a customized plan for each individual to ensure that they receive the awareness, leadership, and training they need to be successful going forward.

Individual employees are at the center of successful change management processes; their success or failure will determine the success or failure of the processes that are changing organizationally. 

Enterprise change management – This is the ‘final’ level of change management and essentially means that effective change management is embedded into your organization’s roles, structures, processes and leadership competencies. When it comes to enterprise change management, newly-implemented processes are consistently applied to initiatives, leaders will have the skills to guide their teams through the change, and staff will know what to ask for to be successful.

When embedded into your structure, enterprise change management capability means that individuals embrace change more effectively, and the organization itself is able to respond faster to market changes, embrace strategic initiatives, and adopt new technology much more rapidly. 

Now that we’ve established the benefits and principles of managing change, how does it work, exactly?

Learn more about how MindBridge can help you sample less, and discover more.

A – Awareness of the need for change
D – Desire to support the change
K – Knowledge of how to change
A – Ability to demonstrate skill and behaviors
R – Reinforcement to make the change stick

How does change management work?

Change management relies on cohesive effort between management and employees to lead a successful transition. If leadership is not able to create a solid plan, and if employees are unable to “embrace and learn a new way of working, the initiative will fail.”

Take transitioning financial technologies and processes, for example. As technology improves and data sets increase, financial professionals and their departments are feeling the pressure to do more in less time. The trouble comes when the quality of work suffers as a result of the attempt to marry efficiency with quality. This is especially true of risk management and discovery. 

Platforms like MindBridge help organizations discover the known and unknown risk in their financial data sets. They can analyze 100% of transactions, provide insights to better communicate analysis with stakeholders, and ultimately produce higher quality work in a fraction of the time.

But, all of this requires a solid, well-executed change management plan. While new technologies are increasingly turnkey, unlocking their full potential takes buy-in at all levels of an organization, and investment in the principles of change. 

At MindBridge, we strive to enable our customers with the tools, resources, and support they need to successfully transition their financial processes. But, for the organizations themselves, there is still work to do. 

When it comes to changing any process or technology, the status quo is always simpler. But, those who are truly committed to growth and the future of their organizations aren’t content with the easy way out.

By integrating proper change management in the deployment process, companies and departments will be able to get employees on board and involved in the process to ensure as smooth a transition as possible. There will be headaches, and you may be uncomfortable. But that’s how change management works. If it were easy, everyone would be successful.

How to plan for transition

To help plan for the transition process, Harvard Business Review discusses the hard factors that need to be discussed more (along with soft factors like culture, leadership and motivation) when implementing change management strategies. These factors allow companies to measure, communicate and influence elements quickly to affect transformation. Before they start, companies need to understand the time allotted to complete the change, the number of people required to execute it, and the financial results that intended actions are expected to achieve. 

To help lead a successful change management operation, there are four specific factors companies can use to determine the outcome and create a path to success:

Duration – The length of time it will take until the change program is complete, and the length of time between reviews built to measure success

Integrity – The ability to select the best staff to lead the program. Look for problem solving skills, results & methodological oriented individuals

Commitment – The level of enthusiasm and resilence  from both management and employees to affect this change

Effort – Calculate the amount of time and effort beyond existing responsibilities, resources that are over stretched may compromise the change program or normal operations.

For future transitions

Change management requires focus, organization, and motivation. Not everyone will be willing to accept and help to invoke this change at the same time. The source of resistance is often individuals or groups, but it can also be systems or processes that are outdated or that fail to fit current business conditions.

Ways to mitigate these obstacles include rewarding flexibility, creating role models for change and repeating the key messages and goals of the project throughout the entire change program.

This is where the message of the “bigger picture” becomes crucial, if employees feel separated from the goals they will question their motivations. But by showing the concrete benefits of change for them, their department, and the organization more largely, you can demonstrate how all this added effort will lead to gains in the future.

For more on creating an effective transition strategy, watch our webinar, Change management 101: Strategies for leading change when adopting AI.

For more articles and resources like this one, visit our blog.

Ready to embrace AI to strengthen your remote audit?

Contact our team to schedule a demo of the MindBridge risk discovery platform.

Financial automation: The good, the bad, and the future

Financial automation: The good, the bad, and the future | MindBridge

Well, it’s finally here. According to an article from Forbes Magazine, we have reached the age of automation. From AI and machine learning to financial automation and robotics, we’re officially an automatic civilization. Please, be kind to our new robot co-workers.

Okay seriously, this is important stuff, even if we did all see it coming. Especially when it comes to the ever-expanding world of finance.

In every industry, every business, and every firm, finances and how they are managed are vital to the growth and development of a company. Whether you’re a business owner, CFO, or part of the finance department, the role of automation in the future of finance is vital to your role, growth, and the evolution of your organization.

Financial automation doesn’t just mean automating payroll, although it doesn’t hurt to do that as well. Automating financial processes incorporates much more, including risk assessment, audit, and compliance among many other aspects.

An article from DigitalistMag outlines the capabilities of today’s financial automation services, describing the ability to “gain new insights from existing data to optimize credit decisions and improve financial risk management, automating business processes that previously required manual human intervention, and improving the customer experience.”

Financial management has evolved rapidly since the advent of computational technology. As this technology evolved, financial experts and professionals soon recognized that process standardization and centralization are absolutely necessary to increase the efficiency and effectiveness of modern organizations. As efficiency grew into a central tenant of management processes, financial automation became the next logical step for businesses and organizations.

In 2016, McKinsey estimated that 60% of all occupations have approximately 30% or more capabilities that can be automated with existing technology. Moreover, there has been a significant change in the understanding of what can be automated and what should be automated, which has become increasingly evident due to the unprecedented effect the COVID-19 pandemic has had on work

For businesses looking to hire and outsource their financial processes or professionals who want to simplify and streamline internal processes, it may be time to look at automating them instead. For many, this has already begun, as “CFOs around the world heavily invest in financial automation software as a next step in the evolution to enable enterprise transformation.” 

In this way, financial automation could lead to a complex or fundamental shift in how an organization’s core business is conducted.

Taking the first step toward financial automation can seem daunting. However, with more businesses adopting automation into their day-to-day financial practices, it’s clear to see the power this technology holds.

So, what exactly is financial automation?

What is financial automation?

For us mere mortals, financial automation can be as simple as automatically depositing your paycheck, paying bills, or saving a portion of your income per month. The concept is similar for businesses and corporations, but at a much larger scale, and with a lot more moving parts.

Financial automation is the process of utilizing technology options to complete tasks with minimal human intervention. These tasks would normally be accomplished by employees, which, in theory, frees up time for them to perform more complex tasks. 

According to another automation study from the McKinsey Global Institute’s automation research, current in-use technologies can fully automate 42 percent of finance activities and mostly automate a further 19 percent.

While many still consider financial automation and intelligent software to be on the horizon, organizations have already started to utilize cutting-edge tools and technologies such as advanced analytics, process automation, robo-advisors, and self-learning programs. A lot more is still yet to come as technologies evolve, become more widely available, and are put to innovative uses.

Levels of automation

The initial forms of automation were (and still are) macros and scripts: simple rules-based automation that repeated simple work with highly structured data –  things like general accounting operations, revenue management, and cash disbursement have an over 75% fully automatable ability with already existing technologies.

Robotic process automation (RPA)

RPA is the basis (above macros and scripts) to understand the capabilities of automation. An example of an RPA would be simple software that can perform repetitive tasks quickly with minimal effort, like some of the rote tasks mentioned earlier. 

According to the 2017 McKinsey research (also mentioned earlier), about a third of the opportunity in finance can be captured using basic task-automation technologies such as these.

Artificial intelligence (AI) and intelligent automation (IA)

On the other end of the spectrum is artificial intelligence. Artificial intelligence is theoretically achieved when software is able to make intelligent decisions while still complying with controls using algorithms or machine learning

Machine learning algorithms demonstrate the ability for computers to take in a constant stream of data, analyze that data for patterns and recommend solutions to problems humans can’t even see, proving vastly positive results in improving a company’s financial proficiency.

Once a dream for financial professionals and business owners, this form of financial automation software is becoming a reality, shaking up the way that tasks are performed, and even introducing other aspects such as forecasting into the mix.

Improvements with financial process automation 

The umbrella of finance – from payroll to predictive forecasts can involve menial and repetitive tasks which leave limited time and resources to focus on value-adding activities to grow your organization. When financial process automation is added, it serves as a pivotal support to free up needed resources and time. 

As these technologies can cover more ground and more deeply analyze company financials, many organizations are finding that AI and automation technologies are actively improving their bottom line. According to a survey from the Association of Certified Fraud Examiners via the Harvard Business Review, “organizations lose 5% of their revenue every year due to fraud. The typical fraud case causes a loss of $8,300 per month and lasts a full 14 months before detection. And lack of internal controls contributed to nearly one-third of all fraud cases.”

Risk discovery is just one aspect of financial automation, but a growing one.

As AI, RPA and IA continue to use machine learning to do more and perform more intricate tasks, offering insight into finances, we are seeing how this can be incorporated into an organization’s long-term organizational strategy. MindBridge, for example, has developed AI technology for risk discovery, a complex financial task that incorporates not only transactional analysis, but offers broader insights into financial health and integrity.

Want to learn more about how auditors are using AI?

By automating certain financial processes, “finance professionals can not only provide real-time insights into the current status of the business but, with advanced predictive algorithms, they can look into the future and proactively steer the business.”

Financial automation and its capabilities are excelling at a fast rate. With the help of AI, RPA, and IA, standard automation practices can be enriched beyond simple pre-programmed controls and scripts. From McKinsey & Company once again, AI algorithms can learn from historical datasets and the interactions of the financial professional with the system, thereby improving the matching rates tremendously. In this context, matching rates refer to the ability at which an AI system is able to tag users to certain data sets based on their profile of demonstrated usage. Furthermore, the AI technology allows automatic extraction of unstructured information from documents, such as emails.

Of course, return on investment is always a concern. It can take a lot of time and effort to implement new technologies, and savvy business leaders need to know that the tools and processes they put their money behind will work. 

According to Gartner, “AI augmentation will create $2.9 trillion of business value and 6.2 billion hours of worker productivity globally.” Basically, they define this term as the combined work of humans and technology, with the people at the center of the operation.

business value forecast by AI type | Graph
Source: Gartner.

If these forecasts are correct, executives should be clamouring for AI and automation investment. Even a small piece of this pie can level up your office, department, or organization writ large.

What financial process automation could mean for work structure

One of the biggest concerns associated with exploring financial automation and therefore implementing financial automation software is what happens to the employees and the roles formerly associated with those finance objectives. 

There’s no doubt that introducing financial automation will change the roles of many employees and even the manner to which employees are trained or progress toward career objectives. One thing is for sure though, automation will replace low-value, simple, and time-consuming tasks, thereby giving staff the flexibility to expand their roles, and spend more time on value-adding activities to help drive a company’s competitive advantage. 

In an article from PWC on change management, they outline five steps that can help firms adopting financial automation make the transition as smooth as possible:

  • Prepare for human capital risks like you’d prepare for any other risks
  • Help people find their way
  • Create organizational support for success
  • Expect changes to jobs, compensations, and structure
  • Learn new ways to develop your team

To unlock financial automation’s full potential, managers must be willing to re-engineer processes, and redeploy resources to optimize efficiency and output.

Another consideration for anyone looking to adopt automation and AI technology is assurance and verification. This verification work ensures that the technology in place is doing what it’s supposed to do, at the level of work required to meet compliance requirements and quality assurance standards.

Internal teams can “test” automations by utilizing what are known as “Test Frameworks” for applications. Some examples of framework tools come from SmartBear and Selenium. However, it’s a lot of work, and unless you have dedicated developers that can help your team test automation tools, you’re sort of stuck. For many businesses, it’s much easier to work with platforms and tools that have done this testing themselves by utilizing a third party.

A future with financial automation

Although IA and machine-learning algorithms are still considered in their infancy, that doesn’t mean finance leaders should wait for them to mature fully. According to McKinsey, many automation platforms and providers that struggled a decade ago to survive the scrutiny of IT security reviews, are now well established, with the infrastructure, security, and governance to support enterprise programs. “Where a manager once had to wait for an overtasked IT team to configure a bot, today a finance person can often be trained to develop much of the RPA workflow.” The exponential growth in structured data fueled by enterprise resource planning (ERP) systems, combined with the declining cost of computing power, is unlocking new opportunities every day.

MindBridge is a great example of a pioneer in unlocking the expanded capabilities of AI and RPA within the finance sector. With AI-embedded risk discovery, MindBrige can risk-rate 100% of the transactions in general ledger and sub-ledgers to produce an aggregated risk profile of the data that makes up the business’ financial statements, facilitating laser-like focus on the areas that matter.

The future of financial automation seems bright, already beginning to reshape the way in which financial services are performed in organizations large and small. Incorporating AI, RPA, and other forms of automation can seem daunting at first, as there are many tasks and organizational changes that go into implementing new technologies and processes. 

By empowering your finance team with AI co-workers, they reduce the time spent on mundane tasks, enabling your team’s human intelligence to shine operationally. Financial efficiency and accuracy means happy stakeholders, and a growing business. What’s not to love?

For more articles like this one, visit our Resource Center.

Tools and tips for the audit busy season

Auditor desk before audit season

For most auditors, surviving another audit busy season can be a rough ride. Between the 60-80-hour workweeks and the constant pressure to meet deadlines, there’s little time to rest, gather with family or friends, or enjoy personal hobbies. The reality is that stress is at an all-time high during the audit busy season, and many auditors can reach the brink of burnout.

The COVID-19 pandemic and work-from-home mandates have made things harder for some. Auditors not only have to work extra-long days, but there are fewer chances to break away from the desk and get some much-needed downtime. As the lines between work and home become even more blurred, there’s a serious risk for increased mental health crises.

Auditors are also having to juggle the inherent challenges of remote audits. Everything from trying to figure how to securely access client information and ensuring cybersecurity best practices, to scouring financial data to detect rising cases of fraud put even more pressure on auditors.

Below, we share some tips and best practices that can help auditors prioritize self-care and ease the stresses of the busy audit season.

Top 5 best practices for the audit busy season

1 – Choose the right auditing tools

Conducting effective remote audits begins with selecting the right audit tools. Everything must be considered, from how an audit team will communicate with clients to how files will be shared.

For instance, using a cloud-based AI auditing platform can simplify the sharing of financial data. Clients can quickly upload files into the secure AI platform, allowing the audit team to remotely access and analyze information. With AI power at hand, auditors can also run multiple algorithms across all client transactions simultaneously and cross-correlate data using dozens of testing criteria. This gives them a clearer picture of potential risks.

2 – Prioritize your personal wellbeing during audit busy season

Working from home for long periods of time can wreak havoc on anyone’s mental and physical health. Coupling this with the added stresses of the audit busy season, and auditors become highly susceptible to burnout.

Scheduling short bouts of exercise, yoga, or meditation each day can make a big difference. According to the Anxiety and Depression Association of America, even taking five minutes for light physical movement can reduce stress and stimulate anti-anxiety effects. Auditors who take time to prioritize self-care, get outside for walks, and use meditation apps will be able to better manage the stresses of the busy audit season. Plus, you may even produce better work.

Woman taking a digital wellness break

3 – Ease the wake-up-and-work rush of the busy season

Before getting to the at-home workspace, auditors can plan some time for a burst of exercise and home-cooked breakfast or jump in the car to snag a latte at their favorite drive-through coffee shop. These small tasks bring some level of normalcy and variety to what can feel like endless days of remote auditing.

As well, setting firm boundaries around when a workday begins and ends will help auditors delineate work from quality time with family or simple relaxation. Working from home doesn’t have to mean that you’re “always on” or “always available.” This mindset is a one-way ticket to Burnout City.

4 – Re-evaluate auditing best practices

Auditing methodologies and best practices evolve constantly. This is especially true as new technologies become more widely accepted and used in auditing practices. To minimize stress and ensure the highest quality audits and risk assessments, auditors should always take some time to review any updates on audit methodologies and standards. This allows audit teams to better plan for audit engagements and ensures they’re using the most current information to handle their remote audits.

For example, check out our recent blog titled ‘How the new SAS-142 audit evidence standard embraces technology and automation.’

5 – Keep up with developing cyber risks

Working on remote audits while trying to meet looming deadlines is hard enough. But today, it’s become even more imperative for auditors to stay informed about the latest cyber risks and take action to prevent data breaches. The best way to do this is by partnering with transparent and trustworthy technology partners. Auditing firms should vet technology providers by asking about their cybersecurity policies and initiatives, their accreditations and certifications, and any accessible tools that ensure the highest level of resilience to cyber attacks.

Delivering quality work efficiently during the audit busy season

 As another busy audit season approaches and remote audits become the new norm, auditors need to rethink how they’re going to manage the current and upcoming stresses and challenges. By implementing the right strategies and tools, auditors can better navigate the audit busy season without reaching a state of complete exhaustion. More than that, they can retain the highest quality of audits and assessments, without compromising data privacy and security.

Wondering how you can streamline your remote audits? Contact our team to schedule a quick demo of our AI auditing platform.

Want to learn how AI can empower finance leaders of the future? Watch the on-demand webinar now.

Want to learn how AI can empower finance leaders of the future?

The Digital Accountancy Forum 2020: Restoring trust in auditors with AI

The Digital Accountancy Forum and Awards

MindBridge is proud to sponsor this year’s virtual Digital Accountancy Forum. The forum brings together leading accounting firms, industry bodies and regulators, advisors and consultancies, law firms, and tech vendors to discuss and challenge key issues impacting the sector.

On top of providing an opportunity to connect and network all day through the virtual booth, the event will also see MindBridge’s Founder and Chief Impact Officer, Solon Angel, present on how AI can help auditors keep companies out of trouble in a session at 3:00 pm BST.

Packed with valuable takeaways, the session will give real examples of how AI-based data analysis, planning, assertion testing and more can drive better client conversations and give auditors the evidence they need to back them up.

Solon adds: “From Carillion, to Patisserie Valerie, to Wirecard, the audit profession is being blamed for fraud schemes, scandals, and financial collapse. At the same time, the industry is slow to consider radically different ways of performing audit, and has instead focused on automation of the old ways of doing audit. It’s time to enable auditors to do their best, by giving them the knowledge and tools they need to uncover the truth behind an organization’s finances and visualize data in a way that empowers leaders to take action.”

But how can this be put into practice and how can AI really help?

Join Solon as he explains how machine learning works to augment human judgement, providing a clear understanding of how firms, regulators, standards bodies, schools and technology vendors can work together to restore trust in auditors.

At the end of the discussion, you will have heard:

  • Why AI offers much more than automation
  • How data science augments an auditor’s experience and judgement
  • How data analytics enables new ways of thinking and services for clients
  • Why restoring trust must include everyone, from regulators and firms to schools and technology companies

There will also be the opportunity to hear our Director of Growth Europe, Stuart Cobbe, join industry experts on the closing panel discussion. This session will explore the future of the accountancy profession, touching upon:

  • If globalisation will have an impact on developing the next generation of accountants
  • How the industry can ensure the accountancy profession remains attractive to the younger generation
  • What future technological changes are needed to increase the automation of accountancy

We look forward to seeing you there! Register your attendance here. You can also meet our UK and product teams at our virtual booth!

If you’re looking for tips on how to make the most out of attending a virtual event, take a look at these do’s and don’ts to get you started.

Changing the World with Small Teams

audit and auditor

I have had an email signature for many years which has a cheesy quote at the end. It reads “never doubt that a small group of thoughtful committed people can change the world.” The actual quote is longer than this, it is attributed to Margaret Mead who was an anthropologist, the full version is “Never doubt that a small group of thoughtful, committed citizens can change the world; indeed, it’s the only thing that ever has. ”

A colleague of mine recently asked me if larger teams was the key to success in a large company. I wondered if this colleague had ever read to the end of one my emails. Were they trolling me?

The core sentiment of the quote is that only small, thoughtful and committed groups of people succeed in making significant change. If you work in a tech company this is important because it applies most of all to the technology disruption around us today. Cloud computing and Artificial Intelligence are changing the face of many industries. Its not the older, larger and established companies who are necessarily leading this change, its often the smaller nimble organizations who have the focus to figure out and lead this disruption.

Quite a few years ago now I founded a small high tech startup that was fairly quickly acquired by Cognos who themselves were acquired a year or so later by IBM. Code I wrote in my basement in West London ended up 10 years later being a core piece of technology in tens of thousands of installations. Large scale tech companies are great for scaling ideas but my most important lesson working in small startups and big corporations was that ideas themselves and solving hard problems is not necessarily about big teams. In fact, its almost never about big teams.

Why is this so?

The first reason is quality over quantity. The adage in the industry is a great developer is three times faster at delivering software than an average developer. While this is true in my experience there is a little more to it. In small teams it is possible to handpick team members with the right mix of talents. With the right people with complimentary skill sets and respectful of each other’s expertise you can create collaborative teams that can easily out pace much larger groups.

Small teams with diverse and complimentary skill sets also foster something called the Medici effect. It relates back to team collaboration. Diversity in thinking and the connection of ideas through close knit face to face communication is often what leads to new innovation.

As teams grow they can impede themselves as a result of having too much overhead in communication. Its very hard to effectively have a discussion with 25 people, let alone 100. This is why effective software teams rarely are this big, and instead are divided into smaller mission focused groups.

The core point is, if you think you need a bigger team to solve a difficult problem, you are most likely wrong. Think again. This type of thought process leads to inaction and if you are in a startup this may result in failure. Sometimes constraints create the best solutions, so keep working at it. Time and again I have seen hard problems solved by small groups, often with simple approaches. My hopeful message to entrepreneurs and startups is not only can you solve hard problems that big companies may not be able to solve but you have the capacity and ability to disrupt entire industries.

Keep thinking you can change the world. Remember *only* small teams can do this.

Congratulations, you have been entrusted to be the CEO… Now what?

auditing services

Becoming a CEO is like becoming a new parent, there is no true user manual to guide you through the unique challenges you will face along the way. You can read a multitude of books about “how to” raise a child, however, there will inevitably be unexpected curve balls beyond what you already know and what you have read.

Ultimately it is your responsibility to ensure the safety and well-being of your child, under all conditions, 24/7, irrespective of the situation. So, let me start by defining the type of CEO that you are going to be. There are three models to choose from: the “plate spinner,” the “one-man band” and the “conductor.”

The “plate spinner” CEO generally does not have a full management team and by necessity has to rely upon themselves to juggle all, or nearly all, of the functional activities that must be executed by the team. The key drawback is that some tasks may fall between the cracks. It is similar to the “plate spinner” who must run back to the first plate once he has completed spinning the last plate to ensure that the plates do not drop to the floor.

The “one-man band” CEO has a more balanced management team but chooses to address and resolve most functional tasks by themselves. As with the “plate spinner,” this model does not lead to optimal execution or maximize the company’s success.

A great “conductor” can achieve melodious results from the members of their orchestra just by hand motions and facial expressions and without the need to speak a word. Similarly, a great CEO will have their management team working harmoniously. The “conductor” model is the optimal approach in creating an environment inside the company that fosters balanced execution by all members of the team. While the team remains under the guidance of the CEO, this approach leads towards sustainable and predicable growth.

Now that you are familiar with the CEO models, some of which you may be emulating, let me outline the actions that, I believe, a CEO must carry out to be highly successful.

Build the team –The top priority and most fundamental task of the CEO is to find and hire the best management team. The strength of the team will determine the degree of success of the company.

Work on the business, not in the business –This is a very simple notion, to spend most of your time managing and less time doing. Your role is to create an ecosystem for your management team to operate within by defining the vision and setting objectives. Then, create the infrastructure necessary to measure the team’s performance in meeting these goals.

Lead by example – People in the company will follow you if they believe in your vision and your actions. It is as they say that actions speak louder than words. The process is simple; initially, people will award leaders a certain amount of “respect and trust credit” but as time progresses, there could be a drop in the original “trust” level. A leader must build up and maintain his or her “respect and trust credit” by their actions which will earn additional “trust credits”, just as a battery loses its charge overtime and requires recharging. Be mindful that as the battery discharges to lower levels, it may be more difficult, or highly unlikely, to reach full charge again.

Listen – A great leader will do less talking and more listening. After all, you have two ears and only one mouth for a reason. People have the basic need to feel that their voice is heard and as a result will be more engaged and vested in the company’s well-being.

Make decisions – The most basic function of a CEO is to make decisions. A CEO must conduct a proper evaluation and analysis of the actions of their team and company performance even when there is only partial data available before making final decisions. Please remember that “no decision” is a decision in itself.

Think strategically – Wayne Gretzky, arguably one of the most successful hockey players of all time, coined the phrase: “I skate to where the puck is going to be, not where it has been.” Companies have to continuously assess their market position by assembling available data from competitors, current and future product capabilities/performance and market trends. With this data, the team must create scenarios and plan ahead. Based on this strategic thinking the organization then has a guide for tactical execution based on the merit of the potential outcome.

Ultimately, the question is whether these attributes can be acquired, or are they inherent as part of the DNA of the individual. In other words, nature versus nurture. The good news is that most of the above traits can be acquired over time. Given sufficient and consistent practice, an individual can acquire these traits and evolve as a true leader.

Note: Above blog post was earlier posted on Eli Fathi’s blog.