Productizing IP for Recurring Revenue: How AI Is Rewriting Professional Services

The billable hour is not under pressure from a competitor. It is under pressure from a buyer who now has an analyst on their phone.

In this episode of Value Coffee Talk, Sherri Sklar of AI Venture Catalyst makes the case that professional services firms are facing a business model problem, not a technology problem. Buyers have stopped paying for access to expertise they can approximate instantly. What they will still pay for, and pay well for, is a guaranteed outcome. That shift breaks the economics of selling time and forces a hard question: what does a firm actually own that cannot be replicated by a general purpose model?

Sherri's answer is proprietary knowledge, and her argument is that most firms are sitting on it without monetizing it. The path forward is productization: turning judgment, methodology, and accumulated pattern recognition into something that scales without a consultant in the room. She walks through what that looks like in practice, from firms that have successfully packaged their IP into recurring revenue to the ones that stalled by building technology before clarifying the outcome they were selling.

The conversation is candid about the difficulty. Choosing where to build versus buy, developing AI capability without an engineering culture, and pricing an outcome instead of an engagement are all real obstacles. Sherri's position is that none of them justify waiting, because the buyer expectation has already moved.

For consultancy leaders, agency owners, and services executives weighing how to defend margin, this is a practical look at converting expertise into an asset.

Sound bites

"Why should I spend X on analyst subscriptions when I have an analyst on my phone?""You can't sit still in this economy; you must adapt.""Your proprietary knowledge is your most valuable asset."

Chapters

00:00 Introduction to AI in Professional Services02:44 Challenges Faced by Professional Services Firms05:39 The Shift in Buyer Behavior08:44 The Need for Outcome-Based Business Models11:25 Productization of Services and AI Integration14:11 Navigating the Technology Landscape17:13 Real-World Examples of Successful Productization19:52 Overcoming Challenges in AI Development22:48 Strategic Advice for Service Firms25:40 Conclusion and Call to Action