Who it is for
For teams with usable internal materials or repetitive information retrieval, organization and operational tasks.
Possible scope
- Knowledge preparation, retrieval and source citations
- Model integration and business tool use
- Access controls, human approval and audit records
- Evaluation and iteration using business samples
What we need to begin
Target tasks, representative samples, authorized materials, data sensitivity and deployment budget.
How delivery is validated
Use agreed samples to check answer quality, citations, permission boundaries, error handling and human approval flows.
Scope and dependencies
Models can produce inaccurate answers and do not guarantee full replacement of human work. Model, vector storage and hosting costs are specified separately, as are sensitive-data handling arrangements.
Does a knowledge base guarantee correct AI answers?
No. Retrieval and citations help verification, but sample evaluation, access controls and human review remain necessary. Critical actions affecting business outcomes should require human approval.