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An innovation framework for competitive advantage in CPA firms

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Accounting firms are facing unprecedented challenges. With the rise of automation, changing client expectations, and staffing challenges, traditional differentiation strategies—competitive pricing, incremental service improvements, or modest technology adoption no longer create sustainable competitive advantages.

Continuous innovation is no longer something only tech and “forward-thinking” individuals should do to remain relevant. It’s an imperative to the longevity of every business in today’s quickly evolving market—including accounting firms.

The Innovation Imperative

Recent data from McKinsey shows that companies that prioritize innovation outperform their peers by 30% in revenue growth over a five-year period. Yet many accounting firms still approach innovation reactively, waiting until market pressures force their hand.

This reactive approach creates three common pitfalls:

  1. Rushed innovation often results in half-baked solutions that fail to address core client needs.
  2. Reactive innovation creates organizational whiplash, as teams struggle to adapt to rapid, unplanned changes.
  3. Lagging response time to market changes creates risk that competitors have already established themselves.

The accounting firms that will thrive in the coming decade aren’t necessarily the largest or most established—they’re the ones that develop the organizational muscle to innovate continuously as client needs evolve and market conditions change. This is where having an innovation framework is key.

How do you build an innovation framework? Consider these three components:

1. Customer-Centric Problem Discovery

True innovation begins with deeply understanding your clients’ needs—not just what they tell you, but what their behaviors and pain points reveal. Too many firms rely on superficial feedback instead of identifying fundamental problems worth solving.

2. Create a Rapid Experimentation Culture

Innovation thrives in environments where testing new ideas is encouraged and failure is viewed as a learning opportunity. Accounting firms often struggle here, with risk-averse cultures that prioritize precision over exploration.

To foster rapid experimentation:

  • Create dedicated “innovation sprints” where teams can prototype new ideas
  • Establish appropriate metrics for innovation initiatives that balance short-term performance with long-term potential
  • Develop a “minimum viable product” mindset that emphasizes quick market feedback

3. Cross-Functional Innovation Teams

Innovation rarely emerges from isolated departments. The most powerful ideas come from combining diverse perspectives and skill sets.

To break down silos:

  • Form cross-functional innovation teams that include representatives from technology, client services, and business development
  • Create clear accountability structures without imposing rigid processes that stifle creativity
  • Establish regular forums for sharing insights across the organization

Take a Phased Approach to Innovation Implementation

For accounting firms looking to enhance their innovation capabilities, a phased approach makes this shift more manageable:

Phase 1: Assessment

  • Evaluate your current innovation capabilities
  • Identify organizational barriers to experimentation
  • Set baseline metrics for innovation outcomes

Phase 2: Foundation Building

  • Develop structured innovation processes
  • Establish cross-functional teams
  • Allocate resources specifically for innovation initiatives

Phase 3: Execution

  • Launch pilot programs in targeted areas
  • Scale successful initiatives
  • Measure and communicate results to build organizational momentum

Common Pitfalls to Avoid

In our innovation journey, we’ve encountered several common pitfalls that accounting firms should be wary of:

  • Over-reliance on competitor analysis: While understanding the competitive landscape is important, innovation requires looking beyond what others are doing.
  • Analysis paralysis: Gathering data is valuable, but at some point, you need to act on incomplete information.
  • Insufficient resource allocation: Innovation requires dedicated time and funding—it can’t be an afterthought.
  • Fear of cannibalizing existing products: Sometimes, the best innovation requires disrupting your own successful offerings.

Measuring Innovation Success

Effective innovation measurement requires both leading and lagging indicators:

  • Leading indicators might include the number of experiments conducted, client feedback on service prototypes, or team feedback on new technologies.
  • Lagging indicators include revenue from new services, client retention improvements, or efficiency gains.

The key is balancing quantitative metrics with qualitative assessments of how innovation is changing your firm’s capabilities and market position.
Conclusion

In today’s accounting landscape, innovation isn’t optional—it’s a survival requirement. Firms that create systematic approaches to identifying client needs and testing new solutions, services and technologies will have a true advantage in an increasingly competitive market.

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Accounting

Continuous auditing: A new era for external auditors or a challenge to tradition?

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External auditors have long been tasked with ensuring financial integrity, detecting fraud and providing an independent opinion on a company’s financial statements.

Now, with the rise of continuous auditing, this role is evolving. Should auditors be involved in real-time financial monitoring? Will continuous auditing enhance audit quality or introduce new risks? And will AI and automation result in continuous audits that are more efficient, or will it drive up complexity and costs?

These questions go beyond technology — they redefine the audit function, independence and financial reporting expectations. The potential is huge, but so are the challenges that come with it.

What is continuous auditing?

Think of a traditional audit like an annual medical check-up — you go in once a year, the doctor reviews your health and gives you an assessment based on that visit. Continuous auditing? That’s more like wearing a smartwatch that tracks your health 24/7, constantly looking for issues as they happen. It uses AI, automation and analytics to monitor transactions in real time. Instead of waiting until the end of the reporting cycle, risks, anomalies and possible control issues are flagged as they happen.

At first glance, continuous auditing seems like a clear win — faster fraud detection, stronger financial oversight and fewer year-end surprises. But it also raises a critical question: If auditors are reviewing financial data year-round, are they expected to report findings externally in real time? And if they are not, could that expose them to greater liability?

The shift from traditional audits to continuous audits

Auditors traditionally provide independent opinions after management closes the books, but continuous auditing challenges this boundary. When auditors monitor financials year-round, the distinction between independent oversight and management’s control function can become blurred — at least in perception.

Flagging issues at many touchpoints during the year may also introduce concerns about their accountability for financial outcomes before the final opinion is issued.

Independence will always be a core pillar of auditing, both in fact and perception. As auditors engage in real-time monitoring, the challenge becomes ensuring they remain objective third parties rather than part of management’s oversight process. Regulators must then establish clear safeguards to uphold auditor independence while leveraging continuous auditing’s benefits.

AI and automation

This shift isn’t just happening because companies want it — it’s happening because AI and automation have made it possible. And let’s be honest: this technology is a game-changer. AI is transforming auditing by enabling real-time anomaly detection, predictive risk assessment and full population testing with greater accuracy than traditional sampling.

For audit firms, this means a fundamental shift in how audits are conducted. AI isn’t just making audits faster — it’s enabling full population analysis to catch risks that sampling might miss, automating repetitive tasks to give auditors more time for complex judgment calls, and strengthening fraud detection with continuous monitoring that builds investor confidence. How ready are firms to embrace this transformation?

What about the cost of continuous auditing?

Cost is another part of this debate around continuous auditing. Continuous auditing smooths workloads year-round, optimizing firm resources and specialists. AI handles routine transactions, freeing auditors to focus on complex, high-risk (high value) areas requiring expert judgment. It also allows management to have visibility of the audit fee build-up — distinguishing between tasks that can be automated with AI and the specialized work that demands deeper professional judgement. 

While continuous auditing offers those advantages, one could argue this may lead to higher audit fees if auditors are “on the ground” 24/7, the cost of upfront investment in AI tools, and added complexity in maintaining compliance with new regulations. The final answer depends on how firms adopt it — but in the long run, efficiency gains and stronger risk detection (i.e., preventing costly year-end financial restatements) may strongly justify the investment.

Will auditors fully embrace continuous auditing?

The demand for faster financial assurance is already here. Shareholders want more transparency and faster reporting, regulators want better oversight, and companies see AI-driven monitoring as an advantage. For this to happen, regulatory standards will need to evolve to address real-time assurance and how it aligns with auditor independence. Audit firms will need to balance technology investment with governance structures that ensure objectivity, transparency and liability-mitigation.

As companies (and internal audit practitioners) adopt rolling and periodic assurance models with AI-driven monitoring, the shift to a fully continuous audit model for external audit is not just a possibility — it’s within reach. But getting there requires more than just technology; it demands clear regulatory frameworks, strategic investment, and strong legal protection and independence safeguards to maintain trust in the audit process.

AI and automation will rewrite the playbook, shifting audit expectations from a single annual opinion to rolling, real-time insights. With historical audits losing their shine, more stakeholders are asking for a better solution.

Continuous auditing is no longer theoretical — it’s happening now. The challenge is ensuring it enhances audit quality while maintaining independence. With AI redefining expectations, are audit firms, regulators and businesses ready to embrace this shift? The conversation is just beginning — where do you stand?

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Accounting

Big Four firms lose a bite of share for audits in 2024

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The top accounting firms lost a piece of market share for public company audits in 2024.

The 10 firms with the most Securities and Exchange Commission audit clients accounted for 65% of the total market (excluding special-purpose acquisition companies), down from 70% in 2023, according to Ideagen Audit Analytics’ annual “Who Audits Public Companies” report.

Deloitte overtook Ernst & Young for the top spot, auditing 901 clients compared to EY’s 869 clients. EY, which had 971 clients the previous year, dropped over 100 clients as the company sought to tailor its clientele, according to the report. Meanwhile, PricewaterhouseCoopers and KPMG both gained clients and expanded their market share, and Crowe crept back into the top 10 after BF Borgers shut down in May 2023.

There were 6,285 SEC registrants in 2024, down roughly 300 from the previous year and down roughly 600 from 2022. The number of SPACs also dropped to 150, down from 300 SPACs the prior year. This trend is unsurprising as SPACs that went public during the boom of 2021 have mostly completed their lifecycles.

By jurisdiction, mid-tier firms (defined as the 10 firms with the highest audit fees, excluding the Big Four) lost two points of their U.S. market share, with 18% of market share in 2024 versus 20% in 2023. However, mid-tier firms ate up 26% of foreign market share, up 14 points from the previous year.

Market shares by U.S. region remained largely unchanged year-to-year, with the Big Four holding the largest share of New England (68%) and holding their smallest share in the Southeast (47%). 

By industry, the Big Four lost considerable market share in energy and transportation, from 71% in 2023 to 58% in 2024; their share was eaten up by other firms.

Ideagen’s report includes any registrants that filed a periodic report with the U.S. Securities and Exchange Commission after Jan. 1, 2024. The auditor market share figures were as of Jan. 31, 2025. 

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Accounting

Continuous auditing: A new era for external auditors or a challenge to tradition?

Published

on

External auditors have long been tasked with ensuring financial integrity, detecting fraud and providing an independent opinion on a company’s financial statements.

Now, with the rise of continuous auditing, this role is evolving. Should auditors be involved in real-time financial monitoring? Will continuous auditing enhance audit quality or introduce new risks? And will AI and automation result in continuous audits that are more efficient, or will it drive up complexity and costs?

These questions go beyond technology — they redefine the audit function, independence and financial reporting expectations. The potential is huge, but so are the challenges that come with it.

What is continuous auditing?

Think of a traditional audit like an annual medical check-up — you go in once a year, the doctor reviews your health and gives you an assessment based on that visit. Continuous auditing? That’s more like wearing a smartwatch that tracks your health 24/7, constantly looking for issues as they happen. It uses AI, automation and analytics to monitor transactions in real time. Instead of waiting until the end of the reporting cycle, risks, anomalies and possible control issues are flagged as they happen.

At first glance, continuous auditing seems like a clear win — faster fraud detection, stronger financial oversight and fewer year-end surprises. But it also raises a critical question: If auditors are reviewing financial data year-round, are they expected to report findings externally in real time? And if they are not, could that expose them to greater liability?

The shift from traditional audits to continuous audits

Auditors traditionally provide independent opinions after management closes the books, but continuous auditing challenges this boundary. When auditors monitor financials year-round, the distinction between independent oversight and management’s control function can become blurred — at least in perception.

Flagging issues at many touchpoints during the year may also introduce concerns about their accountability for financial outcomes before the final opinion is issued.

Independence will always be a core pillar of auditing, both in fact and perception. As auditors engage in real-time monitoring, the challenge becomes ensuring they remain objective third parties rather than part of management’s oversight process. Regulators must then establish clear safeguards to uphold auditor independence while leveraging continuous auditing’s benefits.

AI and automation

This shift isn’t just happening because companies want it — it’s happening because AI and automation have made it possible. And let’s be honest: this technology is a game-changer. AI is transforming auditing by enabling real-time anomaly detection, predictive risk assessment and full population testing with greater accuracy than traditional sampling.

For audit firms, this means a fundamental shift in how audits are conducted. AI isn’t just making audits faster — it’s enabling full population analysis to catch risks that sampling might miss, automating repetitive tasks to give auditors more time for complex judgment calls, and strengthening fraud detection with continuous monitoring that builds investor confidence. How ready are firms to embrace this transformation?

What about the cost of continuous auditing?

Cost is another part of this debate around continuous auditing. Continuous auditing smooths workloads year-round, optimizing firm resources and specialists. AI handles routine transactions, freeing auditors to focus on complex, high-risk (high value) areas requiring expert judgment. It also allows management to have visibility of the audit fee build-up — distinguishing between tasks that can be automated with AI and the specialized work that demands deeper professional judgement. 

While continuous auditing offers those advantages, one could argue this may lead to higher audit fees if auditors are “on the ground” 24/7, the cost of upfront investment in AI tools, and added complexity in maintaining compliance with new regulations. The final answer depends on how firms adopt it — but in the long run, efficiency gains and stronger risk detection (i.e., preventing costly year-end financial restatements) may strongly justify the investment.

Will auditors fully embrace continuous auditing?

The demand for faster financial assurance is already here. Shareholders want more transparency and faster reporting, regulators want better oversight, and companies see AI-driven monitoring as an advantage. For this to happen, regulatory standards will need to evolve to address real-time assurance and how it aligns with auditor independence. Audit firms will need to balance technology investment with governance structures that ensure objectivity, transparency and liability-mitigation.

As companies (and internal audit practitioners) adopt rolling and periodic assurance models with AI-driven monitoring, the shift to a fully continuous audit model for external audit is not just a possibility — it’s within reach. But getting there requires more than just technology; it demands clear regulatory frameworks, strategic investment, and strong legal protection and independence safeguards to maintain trust in the audit process.

AI and automation will rewrite the playbook, shifting audit expectations from a single annual opinion to rolling, real-time insights. With historical audits losing their shine, more stakeholders are asking for a better solution.

Continuous auditing is no longer theoretical — it’s happening now. The challenge is ensuring it enhances audit quality while maintaining independence. With AI redefining expectations, are audit firms, regulators and businesses ready to embrace this shift? The conversation is just beginning — where do you stand?

Continue Reading

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