Data type guide

Prepare company records for AI licensing

Decisions, workflows, and the context between them.

Sources and guidance · Reviewed October 2026

What makes this collection useful

Connected operational records can show how a business actually works. A useful collection links a request to its discussion, decision and outcome rather than presenting isolated documents.

Prepare before approaching buyers

Inventory systems, date ranges, languages, teams, and the relationships between records. Identify customer confidentiality clauses and employee information before selecting a sample.

Possible evaluation contexts

Workflow reconstruction; domain-specific evaluation; enterprise agent tasks. These are possible uses, not statements of current buyer demand.

Where preparation breaks down

Broken joins, duplicated exports, private conversations, customer secrets and missing permissions.

What to put in the datasheet

Record counts by type; time coverage; stable pseudonymous identifiers; a permission matrix. State how each measure was calculated and which records were excluded. Keep the sample aligned with the collection described.

A practical next step

Create a one-page inventory, separate rights-cleared material from unresolved records and use the readiness checklist. Only then prepare a sample for a verified counterparty under appropriate evaluation terms.

Common questions

Does owning the files mean I can license them?

No. Ownership of the storage or account does not settle copyright, privacy, confidentiality or third-party restrictions. Review the rights in the content and the intended use separately.

Can I get a price without sending the full collection?

A high-level datasheet can support an initial discussion. A buyer may later request a reviewed sample and diligence; avoid sending raw archives at the first contact.

Use this as a preparation framework. It is not legal advice, a valuation or a promise that a buyer will accept your data.