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The Regulator Just Called Out Firms for Blind AI Adoption in Audits

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01 JUL 2025 / TECHNOLOGY

The Regulator Just Called Out Firms for Blind AI Adoption in Audits

The Regulator Just Called Out Firms for Blind AI Adoption in Audits
Summary
It is generated by AI

The UK's Financial Reporting Council (FRC) has warned that most major accounting firms are failing to track the impact of AI tools on audit quality. With the Big Four and other firms ramping up their use of AI, concerns have been raised that although firms monitor the frequency of use of the tools, they are not checking if they actually enhance audit accuracy, error reduction, time savings, and risk identification.

Trust, but verify” isn’t just Cold War wisdom; it’s what accountants should be chanting when it comes to AI. While the Big Four firms roll out AI faster than a tax refund in April, regulators are tossing red flags about what’s not being tracked. Spoiler alert: It’s the thing that matters most, audit quality. From chatbots summarizing contracts to AI sniffing out sketchy transactions, accounting firms are going full steam ahead with automation. But here's the kicker: according to the UK's Financial Reporting Council (FRC), not a single major firm, except one unnamed outlier, is formally tracking whether these tools are making audits better. That’s like installing a high-tech home security system and never checking if it is working. Let’s rewind, zoom into today, and take a hard look at what still needs to be fixed.

From Pencils to Pattern Recognition

Audits used to be stacks of paper, gut instinct, and a lot of coffee-fueled number crunching. Then came the software boom, and accountants swapped spreadsheets for smart tools. Fast forward to today, and AI is no longer the intern; it’s acting like the manager. Firms like KPMG, EY, and Deloitte have rolled out tools that scan millions of transactions, summarize board minutes, and flag anomalies faster than you can say “material misstatement.” EY, for instance, is spending a cool $2 billion to improve audit quality, after getting burned in the Wirecard mess. KPMG? Their AI-powered transaction scoring is already built into every audit engagement. But in all this hustle, something got left behind: quality control.

Today’s Reality Check

According to the FRC's recent bombshell, the six largest UK firms, including PwC, BDO, and Forvis Mazars, have embedded AI across their audit processes. But they're mostly tracking how often the tools are used (likely for licensing and PR). They’re not tracking whether those tools are helping catch fraud or improve risk assessments. Only one firm had key performance indicators (KPIs) to gauge audit quality tied to these tools. The rest? Nada. The FRC even dropped its first-ever AI guide, urging firms to stop winging it and set clear metrics. Because let’s be real: using AI without performance tracking is like driving blindfolded because you trust your GPS. And it’s not just auditing. In the tax world, startups promising fully automated R&D credit filings are sprouting up like weeds. Some claim their AI is “trained on the IRS tax code” and can handle audits solo. Cute… until the IRS shows up and your client’s on the hook for fraud.

Ethical Snags & AI Blunders

Oh, just a few things: bias, hallucinated advice, privacy leaks, and sketchy IP use, to name a few. Kim Petro, practice coach at Woodard, isn’t mincing words: “Oh my god, is it dangerous?” she said of firms using AI to churn out financial advice without disclosure. She’s seen bots screen out resumes based on names, generate fake tax strategies, and even steal art styles to design marketing banners. Let’s not forget: free AI tools send your client’s info straight to the cloud, training the model for who knows what. If you're typing real financials into ChatGPT without a scrub-down? That’s asking for trouble.

Her golden rules?

  • Always disclose when you’re using AI.
  • Never treat it as your own voice.
  • Scrub personal info before prompting.
  • Stick to brainstorming and process automation, not legal or tax judgments.

And if you think that sounds paranoid, just ask your compliance officer.

Metrics, Humans, and Keeping It Real

AI’s not the enemy, but sloppy implementation might be. Here’s what firms should do before the regulators come knocking:

  • Build real KPIs: Measure how AI tools impact audit accuracy, error reduction, time saved, and risk identification.
  • Create audit trails: AI outputs should be traceable, editable, and reviewed by humans. No “black box” nonsense.
  • Write an AI use policy: Include ethics, privacy, client transparency, and internal accountability. Don’t just wing it.
  • Train the humans: Give auditors the skills to question, validate, and challenge what AI spits out.
  • Treat AI like a calculator: Helpful, but it doesn’t get to make the final call.

Mark Babington from the FRC put it best: AI tools are no longer toys. They’re shaping real audits, with real consequences. So, treat them like junior staff, smart, fast, but still in need of supervision.

Final Thought

AI is the shiny new wrench in the accounting toolbox, but without the right grip, it can do more harm than good. For every firm bragging about its AI-first audits or tax automation wizardry, there should be an equal commitment to transparency, ethics, and good old-fashioned professional judgment. Whether it’s a cashflow forecast or a compliance check, there’s one tool that still beats any bot: a sharp, trained human mind that knows when something just doesn’t add up. Stay sharp with the latest in tax, audit, and AI. Subscribe to MYCPE ONE Insights and never miss a beat.

Until next time…

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