Enterprise AI search that starts with the right sources

The question is only half the problem

A question such as “What should we do with this supplier exception?” is rarely answered by one keyword match. The relevant policy may use different terminology. A supporting table may sit inside a long PDF. A familiar document may have been replaced. Finding something plausible is different from finding the material that supports a decision.

That makes the search experience part of the business workflow. Employees need to see where an answer came from and whether those sources apply to their situation. A fluent response without that context simply moves the checking work somewhere else.

Give the reader a say in the evidence

Neurologic’s Corporate GPT research describes a two-stage approach: first find and preview candidate documents, then let the user choose the material used for the answer. Citations connect the resulting response to the selected sources. This gives an employee a practical way to notice that the wrong policy or project has been found before relying on its contents.

The same research explores adapting search to the vocabulary of a particular domain. This matters when a company’s abbreviations and specialist language differ from everyday usage. The business test remains straightforward: does the search find the passages that a knowledgeable reviewer would actually use?

Access belongs inside the search process

A useful answer is not permission to expose a document. Employees in different teams may ask the same question and legitimately receive different supporting material. The search must account for the person asking and the scope of the project, as well as the text of the query.

The public access-control paper describes authorization applied during retrieval and a process for synchronizing permission changes. A pilot should test the whole path, including access removal and changes in group membership. Correct behavior under ordinary use is only part of the acceptance test; stale permissions and incomplete updates matter too.

Choose a bounded first use case

A strong starting point is a recurring question set for one team: finding operating procedures, preparing answers from an approved product library, or locating project decisions. Name the content owners, identify which sources are current, and agree how missing or conflicting evidence should be handled.

Keep a review set of real questions and expected supporting passages. Include questions that should not be answered from the available material. The aim is to establish whether the assistant reduces the effort of finding and checking knowledge while leaving employees able to challenge the answer.

• Can reviewers trace the important statements to the selected documents?
• Do different user roles see only their intended material?
• What happens when the evidence is missing, outdated or contradictory?
• How much searching and correction is still needed to finish the task?