Seller intent

What data do AI companies buy?

Last updated October 27, 2026/Seller intent

What data do AI companies buy is a category question. The records that come up, when a team is serious, are the ones that show work happening inside a company: how a request arrived, what a person decided, which tool they used, and how the situation ended. Communications, written procedures, support threads, CRM notes, recorded calls, and work orders are typical shelves in that library. A shelf is not a price. Two companies can keep the same kind of system and have completely different value, including none.

This page will not link you to a data-type article that is not published yet. Standard operating procedures, support tickets, CRM histories, call recordings, and work orders each deserve a page of their own later. Until those pages exist, naming them here is a table of contents, not a door. The live overview of categories is which operating records can carry commercial weight. The reason a sequence of actions matters to an agent is how business data trains AI agents to do real work.

Buy, in the headline, is the word people type. The arrangement, if one happens, is a license the owner approves. What AI data licensing means for a company draws that line. Your company's data could be worth up to $5M+ when the history, the rights, and the demand line up. That is a ceiling. It is not a rate card for tickets or for calls. Estimates are not offers. Which kinds of teams ask is covered by which kinds of teams look for company operating data.

Why the useful record is a sequence, not a dump of a tool

A system name is a weak description. Saying a company uses chat, a help desk, or a CRM tells a buyer almost nothing about whether the work is visible. What matters is whether a case can be followed. Someone noticed a problem, chose a next step, touched a tool, and left a result another person could check.

Public pages and scraped forums already give models a sea of opinions. They rarely give the internal sequence, including the boring steps a skilled employee refuses to skip. That is the gap a license can fill, and only for a slice the company is allowed to offer. Category pages that arrive later will stay inside this rule. They will not treat a tool brand as a product you can sell by default.

What each category is good for, when it is good for anything

• Workflows and standard operating procedures. Written steps plus the evidence that people followed, bent, or abandoned them. A procedure nobody uses is a pamphlet. A procedure with exceptions attached is closer to training material.
• Support and tickets. The complaint, the troubleshooting, and the resolution. Threads that die without a resolution are much weaker than threads that show what fixed the issue.
• CRM notes and sales work. How a lead was qualified, what was promised, and whether the deal or the renewal held. A contact list by itself is not this category.
• Calls and meetings that were recorded for the business. The value is the decision inside the conversation, not the mere fact that audio exists. Consent and retention rules sit on top of any commercial interest.
• Work orders and field or back-office jobs. The request, the parts or steps, the technician or clerk, and the closeout. Repeated jobs with outcomes are easier to judge than a single heroic repair.
• Documents and internal explainers. Specs, postmortems, and handbooks can help when they are tied to a real process. A shared drive of drafts is not automatically a dataset.

None of these categories is universally wanted, and none is universally permitted. A later article on tickets, or on calls, or on procedures, will have to repeat that. Linking those URLs today would send you to a page that does not exist, so this guide stops at the map.

What a category page will have to add later

When a focused page is published, it should say what the system tends to contain, why that content might teach a model, which privacy and contract issues show up first, and how a license would be scoped. It should not invent a going rate. Until then, use the category list above and the live overview. If your records span several shelves, say so in the free check. You do not need a separate article for each shelf in order to start.

Which records look like data and still fail

• Contact databases, password stores, and payment credentials. Those are liabilities, not training material we will package.
• Exports that duplicate the same job across chat, mail, and a ticket tool, counted three times.
• Procedures copied from a public vendor guide and never adapted.
• Calls or chats collected without a clear story of consent and purpose. Commercial curiosity does not cure that.
• Archives with no outcome field, so a reader cannot tell a good close from an abandoned one.
• Material the company does not have the right to offer. A rich ticket system can still be off limits. Value and permission stay separate.

A short or messy category can still be described honestly. Honest and small is a better profile than a blended folder nobody can defend.

How a category becomes a profile instead of a pickup

We do not arrive with a truck for your help desk. Discover is a conversation about which shelves exist. Quantify is a rough sense of years and volume. The Data Partnership Profile then says, in a standard shape, which categories are in bounds for a discussion. A buyer reads that profile. The buyer does not receive the tickets, the calls, or the work orders at that stage.

If a match appears, the scope can be one category or a combination. You can drop a shelf that counsel says must stay inside the company. Preparation, including removal of personal details, happens only for the approved scope. There is no public menu that says a year of tickets is worth a stated sum.

The free check is how an owner starts without waiting for the future data-type pages. Bring what you know about systems and history. Leave the files where they are. The ceiling, up to $5M+, is a headline about the range of possible licenses, not a quote for a particular category.