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.

Jordan Achebe

By

Jordan Achebe

,

Head of Responsible AI & Governance

2 min read

·

A governance playbook for agent rollouts

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Governance

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2 min read

Written by

Jordan Achebe

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.

Jordan Achebe

Written by

Jordan Achebe

Head of Responsible AI & Governance

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