Permission travels with each use

Having internal access to a document does not settle every new use of it. Retrieval inside your own help desk, training a model, publishing an example and licensing records to an outside AI developer each raise their own questions about contracts, confidentiality and personal information.

That is also why a first conversation about business data rarely needs real records. A description of the systems, time period, workflows and known gaps is enough to tell whether a collection deserves a closer look. Companies exploring data licensing with SourceX start exactly there, with a fit check built on company information rather than uploads.

Start with the sentence about what the assistant should do. Once it is specific, the choice between documents, connected cases and other evidence usually becomes obvious.

Questions readers ask

What is the difference between AI training and retrieval?

Training changes the model through examples, so the learning persists in how it behaves. Retrieval supplies material at the moment a request comes in, so the system can use current information without retraining. Most production assistants combine both, and each still needs the right data, permissions and testing.

If an assistant retrieves the right policy, did it act correctly?

Not necessarily. It can quote the rule and still take an unauthorized action, skip a required approval or fail to ask for evidence. Check the resulting behavior or system state, such as whether a refund was actually issued, not just the answer text.

Can past staff decisions be used as correct labels?

Only after review. Historical decisions can reflect skipped steps, outdated procedures or purely administrative closures. Ask a qualified domain reviewer to assess them against the policy in force at the time, and record any disagreement rather than hiding it.

Sitting on years of support, sales or operations history? Check whether your company's data is a fit for SourceX. The fit check uses company information, not uploaded records.

About the founder

Noah Loul is the founder and CEO of SourceX, which licenses business data directly from companies for AI training and evaluation. A four-time founder, he previously built B2B Rocket, which was acquired by Blackpearl Group. His work focuses on permission-based data infrastructure for AI.