Your Business Could License Its Data for $250,000 to $2M Without Exposing a Single Customer Record.

If you built a real company, you know what the job really is.

You've hired people, lost a few good ones and rebuilt the team more than once.

Your business runs on the same tools as everyone else's: email, chat, a shared drive, a CRM, some project tool, your accounting system. Nobody would call any of it special.

Every vendor who calls you now leads with "AI." Most of them want you to pay for something.

And somewhere in the back of your mind is a question you don't say out loud: what is all of this actually worth when I step back?

You've got a simple rule for anything new: show me what's in it for me, and show me the catch.

Fair enough. Here's both.

The part nobody is telling you

AI is being trained to do real business work, and it's learning from everybody except the companies that actually do it.

The big AI labs aren't building chatbots anymore. They're building AI agents meant to do real work inside real companies: answer the customer, update the CRM, close the month, run the project, handle the exception. OpenAI built a benchmark of 1,320 real work tasks across 44 occupations to measure exactly that, using tasks created by professionals averaging 14 years of experience.

Here's their problem. AI learned from the internet: textbooks, help articles and blog posts describing how a business is supposed to run. It has never seen how one actually runs. The email thread where a deal almost died and didn't. The support ticket that took three tries to fix. The project that went sideways in week six and the call that saved it. What your team knew at that moment, what they decided and how it turned out.

That's the part that matters, and it lives in your inboxes, your CRM, your shared drive, your project boards and your support desk.

The labs can't get it from companies, so they pay people to make it up. One of the largest AI data companies in the world pays experienced professionals up to $200 an hour to recreate the kind of work examples your team produces every single day. Its CEO said 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 here's where it stands today. The value of how your company works is being recognized and paid for right now. Just not to the companies that built it.

The solution: license your Decision Trail, and keep your clients, customers and staff out of it.

Here's the catch you asked about. There isn't a hidden one, but there are rules. No customer lists, no client files, no personal information about your customers or your people. Personal details are removed or replaced before anything is used, and a legitimate arrangement keeps all of it protected.

What has value is your Decision Trail: the record linking a situation, the decision your team made and the result.

In most companies, it lives in:

• Email and chat: how your people coordinate, solve problems and make calls in real time
• Your CRM and sales pipeline: how deals are found, worked, won and lost
• Your support desk: the problem, the investigation and the fix
• Project and task tools: how work gets planned, assigned, changed and delivered
• Shared drives and knowledge bases: your SOPs, templates, playbooks and training material
• Finance and accounting workflows: approvals, reconciliations and the exceptions that got caught

Why buyers look for the three criteria

AI buyers aren't looking for a lot of data. They're looking for connected, real-world data with history. That's why three things matter, and why all three are required:

1. 20 or more employees. Many people working together leave a rich trail of handoffs, decisions and coordination. A two-person shop doesn't produce that.
2. 3 or more years in business. History shows outcomes, not just activity: what was tried, what changed and what worked over time.
3. At least 5 data sources. Email, chat, file storage, a CRM, a support desk, project tools, accounting, a phone system. The value is in how they connect: the email that led to the ticket that led to the fix.

If your company checks all three boxes, you've been building this asset for years without calling it one.

How it works when it's done properly:

• Nothing raw is shared up front. It starts with a high-level inventory of what you have, not files.
• Customer, client and employee details are excluded or transformed before any use.
• A review of your contracts and obligations before anything is marketed.
• Written terms on scope, security, retention and deletion, reviewed by your counsel.
• Nothing moves until you sign. Then your data goes directly to the buyer. It never passes through us.
• You keep ownership. A license grants defined permission. It is not a sale.
• Your business keeps running. The work is reviewing records, not pulling your team off their jobs.

And the rule that protects every owner: nobody legitimate asks for money up front, wants files before a signed agreement or promises a number before looking at anything.

The proof: here's the money.

• 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 experienced professionals up to $200 an hour to recreate this kind of work, and pays out more than $1.5 million a day. (TechCrunch)
• Researchers who track the industry report labs paying $200 to $2,000 for a single training task built around real business workflows like CRM updates and ticketing.
• Anthropic was reported to have discussed spending more than $1 billion on environments where AI learns to do real work.

This isn't hype. It's a supply problem, and companies like yours are holding the supply.

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 that no longer operated, with no customers and no future, still held a Decision Trail worth an eight-figure bid.

Your company is still running. Still serving customers, still solving problems, still adding to the exact record the labs are paying $200 an hour to fake. You earned that record. You should know what it's worth.

You built this company one decision at a time.

Every hire, every client won, every problem your team solved before it became a crisis. That trail has a value. See what yours is worth.

Who this is for: companies with 20 or more employees, 3 or more years in business and at least 5 data sources (email, chat, file storage, a CRM, a support desk, project tools, accounting, a phone system and so on). All three are required.