Ownership gap
No one owns the next move.
The system knows the work is stuck, but the team cannot tell whether a human, an agent, or an external system is accountable for recovery.
The work stalls between the systems.
Most organizations already have systems of record. The hard part is the work between them: ownership, handoffs, missing context, follow-up loops, exceptions, and the next decision.
§ 01 — The failure mode
AI can accelerate the work and still make accountability worse.
Bolting a language model onto a workflow bot bypasses the operating model. Locking AI down entirely preserves control, but leaves cycle time unchanged. Regisseur gives human operators and AI agents one shared process, one tool boundary, and one audit trail.
§ 02 — Where teams lose control
Three gaps show up before the first deployment review.
Tool gap
The tool helped, but no one can audit it.
A model drafts, classifies, or chases work outside the process boundary. The action happened, but the line of authority is missing.
Context gap
The decision is detached from its evidence.
Operators see a recommendation without the source inputs, policy version, agent version, and handoff history needed to trust it.
§ 03 — The operating answer
Regisseur treats process, tools, agents, and integrations as one governed system.
Typical automationRegisseur
Task bots outside the operating modelHuman and AI teammates inside the same process
Prompts and scripts drift from policyTyped steps, versioned agents, and runtime policy gates
Exceptions become Slack archaeologyEvery pause has an owner, state, SLA, and escalation path
Audit trail assembled after the factLineage emitted as the work runs
§ Next step
Bring the process that keeps escaping the dashboard.
We will map the owners, agents, tools, and pauses that decide whether the work moves or stalls.