When to involve us
AI agents are working without clear accountability.
Agent outputs are entering real work, but the organization has not yet defined who owns the result, where agent authority stops, or when a human takes over.
Does this look familiar?
- There is no shared inventory of agents and the decisions they touch.
- No named human owns every result affected by an agent.
- Escalation, manual override, and stop rules remain unclear.
Technical operation alone does not define how an agent works inside the organization. It needs a role, a workflow, an authority boundary, and clear human ownership.
Relevant route
Portfolio: The Operating Model
Engagement: AI Operating Model
The AI Operating Model designs the roles, workflows, authority, and controls around agents. It sequences their entry into real work, function by function, with a named human owner for every result.
If the primary issue is that a live investment did not change the work or intended result, go to “The investment went live, but the work did not change.”