The knowledge system comes first
Knowledge Base Engineering defines the source vault, taxonomy, cleaned knowledge engine, and retrieval workflow that make approved material usable. An AI agent should consume that governed layer rather than inventing its own view of what is current or authoritative.
This distinction matters because an assistant can produce fluent language while still relying on incomplete, obsolete, or unapproved material if the source system is not designed first.
Give each layer a clear job
The knowledge system names and maintains sources, access patterns, owners, review status, and retrieval paths. The agent performs a bounded task using the approved context: it may find, organise, draft, classify, or prepare a handoff.
The website, content system, sales team, and automation workflow can use the same source layer in different ways while preserving a common decision record.
Keep the handoff inspectable
When an agent provides an output, show or retain the source basis, task boundary, and review route appropriate to the use case. Missing evidence should trigger a question or escalation rather than a fabricated answer.
This design supports advanced capability through better knowledge architecture, not through unchecked autonomy claims.