ContextA company wants an AI assistant to answer internal or customer questions. Contracts, PDFs, spreadsheets and manuals exist, but the content is scattered, duplicated and not always current.
Observed symptoms
- Documents have duplicated and conflicting versions.
- Important rules are mixed with old drafts.
- Confidential files are not clearly classified.
- Users expect precise answers without verifiable sources.
- The company wants to start with the tool before organizing knowledge.
Investigation path
Separate useful documents from noise
Not every file should enter the knowledge base. Start with reliable documents and clear owners.
Classify permissions
A customer assistant should not access the same content as an internal operations assistant.
Create test questions
Define real questions and expected answers before scaling the AI layer.
Require source and uncertainty
Answers should point to sources and admit when there is not enough evidence.
Technical decisions
- Start with a small pilot using trustworthy documents.
- Remove outdated versions before indexing content.
- Separate public, internal and confidential material.
- Measure quality through real questions, not impressive demos.
Expected outcome
AI becomes a layer on top of organized knowledge, not a magical fix for confused documents. That reduces risk and increases real usefulness.