u/Significant_Owl_8319

KPMG just announced they're shutting down their U.S. federal audit practice after losing a big Pentagon contract and laying off ~4% of their U.S. advisory staff (about 400 people). This comes right after cutting 10% of audit partners and earlier staff reductions.

They're redeploying people and talking about "rightsizing" and upskilling for areas like AI, cyber, and managed services because demand is shifting.

This isn't isolated, the Big 4 have been trimming audit and advisory ranks while the DoD continues to fail its audits year after year. Traditional manual-heavy processes are expensive, slow, and hard to scale, especially when clients (and regulators) want faster, higher-quality work without ballooning fees.

What are your thoughts on the Big 4 cuts and the role of AI in audits? Is your firm leaning into automation or still fully manual on the final-mile review?

The AICPA Employee Benefit Plans Conference kicks off this Monday (May 4–6) at the Gaylord Palms in Kissimmee, FL (also available live online).

If you're attending, please keep this thread updated, share key takeaways, interesting sessions, or trends you're seeing in EBP audits.

If you're not going, stay tuned. I'll be posting updates from the ground, especially around new tools and tech that's actually moving the needle on audit efficiency (especially painful areas like plan document review and tie-outs).

Anyone else heading there? What are you most looking forward to (or dreading) this year?

The PCAOB just dropped their annual Conversations with Audit Committee Chairs report and there's a section on AI that's worth paying attention to.Short version: 250+ audit committee chairs said they see AI's potential for efficiency and quality, but they're actively grilling their auditors on how it affects financial reporting controls and risk. They want to understand it, not just be told it's being used.A few things that stood out to me:

- Cybersecurity (ransomware, phishing, data breaches) remains the top recurring concern, often getting its own dedicated committee focus

- Chairs are specifically asking about auditors' use of data analytics and proprietary AI platforms

- There's a real gap between firms using AI and firms being able to explain what it's doing to a committee

For anyone in the audit tech space, this is kind of a forcing function. Audit committees are becoming more AI-literate and they're going to start asking harder questions. The "trust us, the AI handles it" answer won't cut it much longer.

Curious what others are seeing on the ground, are your clients' audit committees starting to ask about this stuff more?

The Mars FX collapse just became one of the messiest fraud stories in recent memory and at the center of it is a question auditors should have been asking: how does any fund go four straight years with no monthly losses?

Here's what happened:

- Novus Capital raised approx. $600M from 500+ investors promising steady FX + gold returns

- Deloitte issued clean audit opinions from 2020–2023 without independently verifying the assets held by their tech partner

- That tech partner (TRFX) now claims its platform stopped operating in October 2022, meaning reported gains after that point may have been entirely fictitious

- Investors are now in bankruptcy court trying to find out where the money went.

The red flags were there. An unbroken return streak is a classic Ponzi signal. The tech partner's identity was "proprietary and sensitive" never disclosed in offering documents. The 2024 PPM quietly changed the partner's status from "regulated" to "neither a licensed broker nor a regulated custodian" and the auditor noted no significant changes.

This is exactly what happens when audit processes are treated as checkbox exercises rather than genuine verification. Clean opinions without independent asset confirmation aren't worth the paper they're printed on.

For those of us working in audit-adjacent spaces, what safeguards do you think should be mandatory before an auditor can sign off on third-party-held assets?

KPMG announced today it's eliminating ~100 partners from its US audit and assurance practice, about 10% of them. This follows layoffs of 195 audit staff last October and nearly 600 in the UK last month.

They're calling it "rightsizing" and say it's not performance-related. Their stated reason: aligning team size to the "power of their audit platform."

A few things stand out to me:

1. The language is telling. "Audit platform" is doing a lot of work in that statement. This isn't just cost-cutting, they're explicitly restructuring around technology doing more of the heavy lifting.

2. It's hitting partners, not just staff. We've seen rounds of staff layoffs across Big 4 for a while now. Cutting partners is a different signal, that's long-term structural change, not just trimming margins.

3. EBP audits could feel this. Employee benefit plan audits are already under capacity pressure with ERISA-quality standards tightening. If Big 4 shops are leaning out their audit practices, smaller plan sponsors may find fewer options or longer timelines.

Curious what others in the space are seeing. Is this the beginning of a bigger consolidation, or just KPMG cleaning house?

PwC settles Evergrande probe for $166M and the findings should make every auditor uncomfortable

The dust is settling on one of the biggest audit failures in recent memory. PwC HK agreed to pay HK$1.3 billion in fines and compensation over its Evergrande auditing work on top of the 441 million yuan fine already levied in mainland China.

But here's what stings more than the dollar amount: Hong Kong's AFRC said PwC disregarded clear evidence of premature revenue recognition, permitted unsupported consolidation adjustments, and failed to maintain professional skepticism despite multiple red flags.

This wasn't a case of sophisticated fraud that slipped through. These were documented warning signs over more than a decade of auditing.

For those of us in audit: this is worth sitting with. How many engagements involve pressure to move fast, trust management's numbers, or not push too hard on adjustments that "don't move the needle"? The Evergrande case is extreme, but the failure modes are very ordinary.

For EBP auditors specifically with DOL scrutiny increasing and small firms handling complex benefit plan audits, the margin for missed red flags is shrinking. Tools that systematically flag anomalies aren't a luxury anymore.

Curious what others think: is this primarily a culture/incentives problem at the firm level, or a structural issue with how audits are scoped and resourced?

So HKEX dropped some updated guidance last Friday that I think deserves more attention in this sub.

Starting now, Hong Kong-listed companies need shareholder approval to appoint or remove auditors. Boards can no longer quietly pressure an auditor into resigning and then fill the "casual vacancy" with a more compliant firm that workaround is gone. Any action that triggers an auditor's resignation will now be treated as an active removal, requiring a formal vote.

Why did this become necessary? The SFC reviewed late-stage resignations and found that auditors at 89 companies resigned within four months of annual results deadlines. 66 of them cited fee disagreements. That's a lot of "fee disagreements" at a very convenient time of year.

This is textbook opinion shopping pressure the auditor near year-end, get them to quit, replace them through a casual vacancy without shareholder oversight. The new rules kill that pipeline.

What's the broader context? The Evergrande collapse cast a long shadow here. PwC was fined and suspended in China after auditing a company that allegedly inflated revenue by over $82 billion. That kind of outcome makes regulators everywhere sharper about what "independent audit" actually means in practice.

And it's not just Asia. A March 2026 CAQ survey found that while 91% of institutional investors trust audited financial statements, 35% expressed considerable concern about auditor independence from clients. That's a big gap between headline trust and underlying confidence.

Research has shown financial misstatements are significantly higher among companies that engaged in opinion shopping versus those that didn't and the successor auditors are particularly vulnerable because they're incentivized to keep new clients while they recover onboarding costs.

The structural problem is old. What's new is regulators actually closing specific loopholes rather than just issuing guidance. Worth watching whether SEC or PCAOB takes notes.

What do you all think, Is shareholder approval the right lever here, or does it just add bureaucracy without solving the underlying incentive problem?

Been looking at the DOL audit quality study numbers again.

Firms doing 1-2 EBP audits a year: 70% deficiency rate.

Firms doing 25+: drops significantly.

Firms doing 100+: under 20%.

So the profession has known for years that EBP audit quality is almost entirely a function of volume and specialization. And the response has been... peer review checklists and CPE requirements.

Meanwhile the number of CPA firms doing these audits dropped from 7,330 in 2011 to 4,300 in 2020 while the number of plans that need auditing went up. Less firms. More plans. Same manual process. Same deadline. I don't think this is a competence problem. I think it's a capacity problem that the profession keeps trying to solve with training.

What's actually going to fix this?

Hey everyone,

Been going down a rabbit hole on EBP audit tools lately, especially with AI starting to make a real dent in the space. One that caught my eye: Tieout (tieoutai.com) just got covered in Accounting Today. It automates the plan document analysis side of EBP audits. You upload your base plan doc, amendments, adoption agreements, set your own legal precedence order, and it extracts every auditable provision (eligibility, vesting, contributions, loans, distributions, NDTs) with source citations. Then it generates test procedures and routes steps to the auditor for sign-off. Runs on a combo of OpenAI, Google, and Anthropic models, all optimized for EBP-specific language, which is apparently a big deal because generic LLMs struggle with plan document nuance. Curious if anyone here has tried it or anything similar. What's your biggest time sink in EBP audits right now? Does a tool like this actually solve it, or are there gaps? Drop your thoughts below.