Platform / RiGi Group
AI Knowledge Base
Connect retrieval to governed sources so answers can point back to what supports them.
WWAIOS / AI Knowledge Base
The role of ai knowledge base in a governed workflow
Connect retrieval to governed sources so answers can point back to what supports them.
04 / 09
Capabilities
What the layer is designed to handle
Combine retrieval approaches where the task requires them.
Track citations, missing context, and source freshness.
Operating pattern
A control path you can inspect
- 01Define the input, context, and authorized purpose.
- 02Ingest and version approved source material.
- 03Combine retrieval approaches where the task requires them.
- 04Capture the result, exception, and owner for review.
Questions for architecture review
What would change your decision?
Ask which evidence is current, which control actually executes, who owns an exception, and where a human must approve an action.
Explore
Adjacent layers
AI HarnessBind model interactions into a defined runtime with shared controls and observable behavior.↗AI Decision EngineDescribe decision paths, policy conditions, and approval points as explicit workflow rules.↗AI GuardrailsApply runtime checks around sensitive data, unsafe requests, and output constraints.↗AI GovernanceManage policies, model inventory, ownership, and review throughout the AI lifecycle.↗
A closer look / AI Knowledge Base
From question to evidence to decision.
Use this framework to discuss the actual workflow and the proof needed to move forward.
01 / Situation
An answer can sound persuasive even when the underlying document is stale, missing, or unauthorized.
02 / Approach
Ingest approved sources with ownership and versioning. Retrieve with access filters and attach citations to the answer or decision.
03 / Evidence
Evaluate retrieval coverage, citation accuracy, freshness, and refusal behavior when evidence is absent.
04 / Next decision
Assign document owners and update rules before expanding the knowledge scope.