Agents fail when business context lives outside the system.
If your team is building agents on top of warehouses, semantic models, docs, and Slack threads, the brittle part is usually not model quality. It is the missing business definitions, workflow rules, and source-of-truth exceptions nobody encoded.
The same question gets different answers because trusted sources shift by team, region, or reporting context.
The agent can query data, but it does not know the business meaning behind the fields.
Humans still bridge the last mile with side notes, caveats, and tribal knowledge.
What you get
A manual context failure teardown
We map where the agent loses business meaning, where source-of-truth logic shifts, and where docs or tribal knowledge override the visible system record.
A concrete audit readout
You get a short summary of the missing context, conflicting sources, and the highest-risk failure points in the workflow you share.
A bounded ask
This is not a product deployment. We only need one real workflow and the artifacts that define how it should behave.
Request the audit
Tell us which agent workflow is breaking.
We are looking for teams with a live or near-live agent workflow, not general curiosity.