The Commercial Shifts
How AI is repricing professional services.
AI compresses the time professional work takes. If a firm’s revenue is tied to time, revenue compresses with it. Three shifts separate the firms gaining margin from the firms losing it. None of them is about adopting AI. They are about what the firm sells.
The 6% problem
Everyone adopted AI. Almost no one repriced.
88% of organizations have adopted AI in at least one function. 6% see a measurable effect on earnings (McKinsey, 2025 State of AI). Both groups bought the same models. The gap isn’t the tooling. It’s the question they asked.
Most asked how to do the existing work faster. The 6% asked what the work is worth now that AI exists, and what to charge for it. The first question saves hours. The second changes the business.
Adopting AI is not the shift. Changing what you sell is.
The stakes
Two firms, the same tools, opposite trajectories.
Clio tracked law firms over four years. The ones that moved to modern delivery and pricing (fixed fees, continuous advisory, outcome-based work) nearly doubled their revenue, on only 50% more clients. The ones that stayed hourly lost half (Clio’s Legal Trends Report, four years of tracking).
Same tools, same day, opposite outcomes. One firm changed what it sells; the other did the same work faster. The three shifts are the difference between them.
The three shifts
Three shifts, three ladders.
Pricing, delivery, and productization, one shift each. Every shift moves work from a position AI compresses to one it makes more valuable.
Shift one — Pricing
HoursOutcomes
Billable hourRetainerProject feeOutcome
AI compresses the hours, and the revenue with them. Clients know it. PwC’s Chief AI Officer Dan Priest says clients hear about the savings and ask for “their fair share of those efficiencies.” On an hourly model, that share comes straight out of your margin.
Name the result, price it, deliver it. Price the value, not the time.
59% of law firms now use flat fees alongside or instead of hourly billing, and flat-fee billables grew 34% between 2016 and 2025 (Clio Legal Trends 2025). Roughly a quarter of McKinsey’s global fees now run on outcome-based structures, per UK managing partner Michael Birshan in November 2025. CB Insights briefed more than 25 AI-agent vendors: while 54% still use subscription licensing, nearly a quarter already price on outcomes or performance.
Convert one defined offering (contract review, the monthly close, a fixed-scope analysis) to a deliverable fee. Not the whole book.
Shift two — Delivery
ReactiveProactive
ProjectStandbyWatchFirst call
Every engagement starts at zero, and AI shrinks the per-project fee every quarter. Between engagements you’re dark, so the client gets to decide when the relationship is worth paying for. The model that resets to zero loses ground to the one that compounds.
Go always-on, then call first. Sell the visibility you produce, not the hours you log. No RFP, no comparison shopping.
Firms running continuous client accounting earn 30% or more in monthly recurring revenue than compliance-only competitors (2024 CPA.com/AICPA Client Advisory Services Benchmark Survey). McKinsey’s internal tool Lilli redirected 30% of its consultants’ time from reactive research to proactive insight, per McKinsey’s own Lilli rollout report. Kuehne+Nagel ran AI across client workforce data to anticipate hiring before the requisition opened: 22% higher conversion and 20% faster fills.
Pick one client-relevant signal AI can watch, and sell the visibility on a monthly retainer. Calling first follows once you’re already watching.
The firm that calls first has no competitor on that engagement. The client didn’t go to market. Nobody else has the same finding.
Shift three — Productization
BespokeScalable
Custom serviceNamed offeringRepeatable methodologyLicensed IP
AI can’t codify what was never written down. When the method lives in a partner’s head, the offering walks out the door when they do, and a named offering still hits a ceiling, because that partner is the bottleneck.
Build the method, train the team, keep the judgment. The partner who codifies becomes the architect of something that serves 50 clients instead of 5.
93% of accounting firms say they offer advisory; almost none have systematized it well enough that the work survives the senior person being unavailable (Future Ready Accountant Report). You can’t train a junior to deliver advisory that lives only in a partner’s head, and you can’t price a service you’ve never scoped.
The competitive context
Scale got cheaper. Depth got more powerful.
PwC, EY, KPMG, and Deloitte have collectively invested more than $10 billion in AI since 2023, and for the first time they can serve the mid-market profitably. That sounds like the end of the story for everyone below them. It isn’t.
Their model is built for scale and standardization; mid-market firms are built for depth. AI makes scale cheaper, which is the Big Four’s game, and depth more powerful, which is yours. The structural limit of a standardized model is the opening for the firm that knows the client’s situation and picks up the phone.
What to do next
One shift, one offering.
Don’t try to move the whole book. Switching everything at once produces partner disagreement and stalled implementation. Pick the shift where the pressure is highest and the work is most defined, and convert one offering.
The free assessment shows where your firm stands across the shifts. The Workshop names and prices 2–3 offerings tightly enough to put in front of named clients for a real yes or no.
Questions
Hours to outcomes (pricing), reactive to proactive (delivery), and bespoke to scalable (productization). Three shifts, one ladder each. Each moves the firm from work that compresses under AI to work that holds or grows margin.
No. The shift is in what you sell, not which AI you adopt. McKinsey found 88% of organizations have adopted AI but only 6% see a measurable earnings effect (2025 State of AI). Adoption alone doesn’t move margin.
Usually pricing. Convert one hourly-billed service to a fixed or outcome fee. It’s the most defined work and the fastest to prove. 59% of law firms already use flat fees, and flat-fee billables grew 34% from 2016 to 2025 (Clio Legal Trends 2025).
Margin compresses. Clio tracked law firms over four years: the ones that moved to modern models nearly doubled revenue, while hourly firms lost about half (Clio Legal Trends). The work AI speeds up is the work clients stop paying full price for.