If you run a consulting firm, you know this rhythm.

A great quarter, then a quiet one, and a pipeline that never feels as full as it should.

A prospect who "ran it through ChatGPT first" and wants to know why your proposal costs what it does.

A delivery method your firm spent years refining, which still only gets paid one hour at a time.

A senior partner who left last year and took a piece of the firm's know-how with them.

And a nagging thought you keep pushing down: if AI can generate a decent framework in seconds, what exactly is our firm worth?

Here's something most consulting owners haven't been told, and it changes that math.

The part nobody is telling you

AI companies are paying people to fake your method, because firms like yours won't share the real one.

AI models have read every published framework: the 2x2s, the maturity models, the change curves, the operating model templates. They can explain all of them.

What they've never seen is a framework surviving contact with a real client. How your team runs discovery. How you define scope when the client can't articulate the problem. What you cut in week six when the budget moves. How you rescue an engagement that's going sideways. The judgment behind the deck, not the deck.

That's exactly what the AI labs need to build tools that can do real consulting work. And they can't get it from firms. So they're paying individuals to recreate it.

One of the largest AI data companies in the world recruits former consultants, bankers and lawyers and pays them up to $200 an hour to write out the kind of work your firm has been doing for years. Its CEO explained why: "Their customers don't want to give them data to automate large portions of their value chains, so they need to hire contractors."

So the market has already decided your firm's method is valuable. It's paying for it right now, just not to you. The money is going to people rebuilding an imitation from memory, while your clients use the resulting tools to question your fees.

The solution: license your Decision Trail, and keep every client out of it.

To be clear, this isn't about client work product, client data or anything under an NDA. A legitimate buyer won't ask for it, and you shouldn't share it.

What has value is your firm's Decision Trail: its own record of how a situation led to a decision and how that decision played out.

In a consulting firm, it lives in places like:

  • Delivery playbooks and methods your firm authored and refined across engagements
  • Scoping and proposal workflows: how you define a problem, a boundary and a success measure
  • Project decision logs and change control: what changed, why and what happened next
  • Change management records: stakeholder mapping, feedback loops and decision points
  • Diagnostic frameworks and templates, kept separate from any specific client

A clean, firm-owned methods library, with client-specific facts removed, is the one thing a model with a framework generator can't replicate. It came from real clients, real pressure and real results.

How it works when it's done properly:

  • Firm-authored material only, with client work product and third-party content excluded
  • A review of your client contracts for confidentiality and IP terms before anything is discussed
  • Written scope, security, retention and deletion terms, reviewed by your counsel
  • Nothing moves until you sign, and then directly to the buyer, never through a middle man
  • You keep ownership. A license grants defined permission. It is not a sale.
  • Payment goes directly to your firm.

And if anyone asks you to pay up front, wants files before an agreement or names a number before reviewing anything, that's not a buyer.

The proof: the labs are already paying for this.

  • Companies are licensing their business data for $250,000 to $2M. These are the numbers our lab partners report to us on real agreements.
  • One leading AI data lab reports more than 100 partner companies and over $200M generated for its partners.
  • One AI data company pays former consultants, bankers and lawyers up to $200 an hour to recreate this kind of work. (TechCrunch)
  • OpenAI built a benchmark of 1,320 real professional tasks across 44 occupations, including project management specialists, created by professionals averaging 14 years of experience.
  • One AI data company went from a $500 million valuation to $4 billion in about a year, selling training data built from real enterprise work.

The demand is real, the money is real and the window is open.

Case study: the airline that stopped flying, and still got an eight-figure offer.

When a major US airline went bankrupt, its planes were grounded, its routes were gone and its brand was finished.

What was left? The operational records: the day-to-day trail of how the company actually ran.

An AI data company bid $12.5 million for that data.

A company with no customers and no future still held a Decision Trail worth an eight-figure bid.

Your firm is still delivering. Still refining its method with every engagement. Still producing exactly the kind of judgment the labs are paying people $200 an hour to fake. The only question is whether you get paid for the original.

Your firm was built one engagement at a time.

Every scope defined, every project rescued, every method refined until it finally worked. That trail has a value. See what yours is worth.

Quiz / Your next step

Could your business records be a fit?

Choose the record type that best describes your current inventory; this is a readiness prompt, not a valuation.

01 What kind of records do you have?
02 What do you know about the rights?
03 Where are you in the process?

This check stays in your browser. If you choose to apply, your answers are included when you submit the application.

3 questions. 30 seconds. No files, no client information.

Sponsored content from datasupply.ai, operated by Chang Strategic LTD. DataSupply.ai charges a seller-side success commission only on facilitated transactions that close. There is no upfront seller-side commercialization commission. The published seller-side rates from 8% to 20% apply progressively to the relevant portions of completed transaction value unless otherwise agreed in writing; separately approved expenses may apply. See the current commission tiers. The signed Commercialization Agreement controls. Figures reflect partner-reported agreements and third-party reporting (TechCrunch, OpenAI, Forbes). No buyer, license, amount or payment is guaranteed. Nothing here is legal advice. Review any agreement with your own counsel.