Governance
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2 min read
A governance playbook for agent rollouts
Adoption stalls when nobody can answer "what happens when it's wrong." A short playbook, built alongside the system instead of after it, answers that before anyone has to ask.

By
Jordan Achebe
,
Head of Responsible AI & Governance
2 min read
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Every agent rollout we’ve seen stall on adoption stalled for the same reason: nobody could answer “what happens when it’s wrong” in a way that satisfied the people whose job is to worry about that question. A governance playbook is how you answer it before someone asks.
We build the same playbook structure into every agent and document-AI engagement, adjusted for the specific workflow:
Scope, in writing. What the agent is authorized to decide alone, and what it must hand to a person. Not implied by the architecture — written down, and shared with the risk or legal team before launch.
Escalation paths. Exactly where a flagged or low-confidence case goes, and what the expected response time is. A review queue nobody’s assigned to own isn’t a safeguard, it’s a place decisions go to wait.
Access and audit logging. Who can see what the agent did and why, with a review cadence — we default to quarterly — so this isn’t a capability that exists but never gets used.
A responsible-AI review, built into the build, not bolted onto the launch. We run this alongside the architecture and evaluation work, not as a sign-off gate the week before go-live, because issues found that late are expensive to fix.
The playbook itself is usually a short document — a few pages, not a policy binder. Its value isn’t length. It’s that a partner, a compliance lead, or a clinician can read it in ten minutes and say yes with confidence, instead of asking the team to just trust the system.

Written by
Jordan Achebe
Head of Responsible AI & Governance
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