What did the KPMG Q4 AI Pulse survey find?

KPMG's Q4 2025 AI Pulse Survey (published January 2026) found that 71% of corporate finance operations now incorporate AI — expanded beyond core accounting functions into treasury and tax. These are the same corporate finance and accounting departments that small professional services firms serve as clients. The survey tracks AI adoption at the companies your clients work at, which directly shapes what those clients expect from outside advisors.

Why does client-side AI adoption matter for a small professional services firm?

When a client's internal finance team runs reconciliations in hours using AI, and their accounting firm still takes days, that gap becomes visible and uncomfortable. A CFO who uses AI daily in their own workflow is not asking 'do you use AI?' — they expect it. The service-delivery gap created by client-side AI adoption is becoming a client satisfaction and retention issue for outside advisors. This is a client-relationship risk disguised as a technology story.

Which practice areas are most exposed to client AI adoption?

The three areas where client-side AI adoption most directly creates a service-delivery gap with outside advisors are: financial reporting preparation (clients can generate draft reports faster than external accountants can review and deliver them), transaction monitoring and reconciliation (client-side AI handles volume that previously justified outside support), and compliance documentation review (internal legal and finance teams are using AI to speed through documentation that outside counsel or advisors traditionally managed). These are core revenue areas for small accounting, consulting, and law firms.

What should a small accounting or consulting firm do in response to this data?

Three moves. First, audit your client-facing deliverable timelines: where are clients waiting on you longer than they could produce it themselves? That is your highest-risk service area. Second, have the AI conversation proactively in your next client check-in — not as a defensive explanation but as a capabilities update. What are you now doing faster? What quality checks does your AI-augmented process include that theirs doesn't? Third, update how you describe your process. If your engagement letter or client communications still read like 2022, clients with AI-enabled internal teams will assume your process hasn't changed either.

Is this trend affecting law firms too?

Yes. The broader context: the GC Report found that 87% of corporate general counsel are now using AI in their work. Law firms serving corporate clients face the same dynamic — clients with AI-augmented legal teams expect outside counsel to be operating at comparable speed. The gap is most visible in document review, contract drafting, and regulatory compliance research, where a well-resourced corporate legal team can now benchmark turnaround times against AI-assisted production.

KPMG AI Pulse: Client Expectations 2026

Published: March 14, 2026 | By: The Crossing Report | 6 min read

Summary

KPMG's Q4 2025 AI Pulse Survey found that 71% of corporate finance operations now incorporate AI — expanding from core accounting into treasury and tax. These are the companies your accounting and consulting firm clients work at. When their internal teams process reconciliations in hours using AI while your firm still takes days, the gap becomes visible. Here's what that data means for a small professional services firm and the three moves worth making now.

Your Clients Got There First

For the past two years, the AI adoption story in professional services has been told as an internal efficiency question: should your firm be using AI? Are your competitors?

The KPMG data reframes it as a client-relationship question.

KPMG's Q4 2025 AI Pulse Survey, published in January 2026, found that 71% of corporate finance operations now incorporate AI in their workflows — and the adoption has expanded from core accounting functions into treasury and tax. These are not AI-native startups. These are the finance departments at mid-size and large companies that small accounting and consulting firms serve every day.

The data point that matters isn't the 71%. It's what that number creates on the client side of the relationship: a rising baseline expectation that their outside advisors are operating at comparable speed.

The Invisible Service Gap

A CFO or finance director using AI daily in their own workflow is not asking "do you use AI?" when they engage with your firm. They assume it. And when the output arrives at the same speed, in the same format, as it did in 2022, they notice.

This is the service gap that the KPMG data makes visible: when client-side AI adoption outpaces advisor-side adoption, the relative value of outside advisory work starts to compress. Not because your work got worse — because their internal capabilities got better.

Three practice areas where this gap is most visible right now:

Financial reporting preparation. Clients with AI-enabled finance teams can draft, format, and review financial reports significantly faster than in prior years. When a CFO can produce a draft board package in an afternoon, an outside advisor whose process still runs on a multi-day feedback loop looks slow — even if the quality of review is identical.

Transaction monitoring and reconciliation. Volume reconciliation work that previously justified regular outside support is increasingly being handled by client-side AI. The result: clients bring in outside accounting help for a narrower, more complex set of questions — and expect faster turnaround on those because they've already accelerated everything else.

Compliance documentation review. Corporate legal and finance teams are using AI to move through documentation review faster than outside counsel or advisors typically respond. In this environment, a law or accounting firm that still quotes multi-week turnaround for compliance review without offering an AI-augmented timeline is losing work they don't know they've lost.

This Is Not a Technology Anxiety Story

Let me be direct about what this data is not telling you to do.

It is not telling you to buy the most expensive AI tool available. It is not telling you that clients are going to fire you for not having a robotics team. And it is not telling you that your judgment, your relationships, and your industry knowledge have been devalued.

What it is telling you is that your clients' expectations about delivery speed and process sophistication have shifted — quietly, without an announcement, over the past eighteen months. And the firms that get ahead of this are the ones that update their client-facing story before clients start asking the question out loud.

The good news: a 10-person accounting or consulting firm that has integrated AI into even two or three core workflows is genuinely operating more efficiently than a client's internal team that rolled out a general-purpose AI license last quarter. Your advantage is depth of integration, not the novelty of the tool. You just need to communicate it.

Three Moves Worth Making This Month

Move 1: Audit your client-facing timelines.

Where are clients currently waiting on you longer than they could produce a comparable output themselves? Pick your three most time-intensive deliverable types and ask: has AI materially reduced the time this should take? If yes, and you haven't updated your process, that is your highest-risk service area.

Move 2: Have the AI capabilities conversation proactively.

At your next client check-in, add a two-minute update on what AI-augmented workflows you've added and what it means for their work. Not a sales pitch — a capabilities update. "We've integrated AI into our document review process, which has cut our review time by about 40% on standard contracts. That means you'll hear back from us faster on those matters." Simple, specific, verifiable.

Move 3: Update your engagement documentation.

Your engagement letter, your "how we work" page, your SOW language — if any of it still reads like a 2022 process description, a client with AI-enabled internal teams will assume your workflow hasn't changed either. Updating your process documentation to reflect AI-augmented steps is a 90-minute task that closes the expectation gap before it becomes a conversation.

The Pattern Across Professional Services

The KPMG corporate finance data is the clearest signal, but the pattern extends across all professional services client types.

The GC Report (March 2026) found 87% of corporate general counsel are using AI in their daily work. That's the same general counsel who engage small law firms for outside counsel work. Law firms serving corporate clients are navigating the same dynamic: clients with AI-augmented legal teams expect outside counsel to operate at comparable speed on document-intensive matters.

For consulting firms: the Simon-Kucher data on outcome-based pricing (73% of consulting clients now prefer results-tied pricing) is directly related to this trend. Clients whose own teams now move faster on analytical work are less willing to pay for consultant time — and more focused on the outcome delivered. That pricing pressure and the expectation pressure described in the KPMG data are the same force viewed from two different angles.

The through-line: your clients have been quietly accelerating. The professional services firms that recognize this early — and update their capabilities story accordingly — are the ones positioned to grow through the shift rather than defend against it.

71% of Your Clients' Finance Teams Already Use AI. They're Starting to Notice That You Don't.