How to Prepare Company Documents for an AI Chatbot

Inventory authoritative material

List service descriptions, operating policies, manuals and approved FAQs. Record the owner, effective date, audience and source location. Mark obsolete files and drafts so they are not accidentally searchable. When two documents disagree, ask the responsible team to choose the valid rule rather than leaving the model to infer it.

Preserve meaning during extraction

Use readable text and check extracted tables, headings and units. A scanned maintenance table may lose the association between a part and its interval. Keep warnings and applicability conditions with the procedure they qualify. Divide long documents into coherent sections with document IDs and page references, not arbitrary fragments alone.

Separate audiences before indexing

Classify public, customer-specific and internal material before loading it. Access rules must apply during retrieval, not merely in the wording of the assistant instructions. Remove unnecessary personal information. Test that a public question cannot retrieve an internal price sheet or another customer’s installation record.

Build a maintenance workflow

For every change, record who approved it and when the indexed copy was refreshed. Test known questions after replacing or withdrawing a document. Include examples whose correct answer is that information is unavailable. A useful handover package contains the source inventory, access matrix, test questions and update procedure.

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