Why now
Set clear handoff rules: automate low-risk actions, and require human review for high-risk or irreversible decisions.
- Decision classes can be segmented by impact and reversibility.
Playbook
Where AI Stops and Humans Decide
Short answer
Set clear handoff rules: automate low-risk actions, and require human review for high-risk or irreversible decisions.
Decision narrative
Key takeaways
- Set clear handoff rules: automate low-risk actions, and require human review for high-risk or irreversible decisions.
- Decision classes can be segmented by impact and reversibility.
- Policy owners can define escalation and override rules.
- Auditability is required for external or internal compliance.
Why now
What breaks without this
Decision framework
Recommended path
Implementation sequence
Tradeoffs and counterarguments
Decision matrix
| Criterion | Recommended when | Use caution when |
|---|---|---|
Decision classes can be segmented by impact and reversibility. | Decision classes can be segmented by impact and reversibility. | Teams that cannot dedicate reviewers for high-risk flows. |
Policy owners can define escalation and override rules. | Policy owners can define escalation and override rules. | Organizations with no appetite for policy enforcement processes. |
Auditability is required for external or internal compliance. | Auditability is required for external or internal compliance. | Projects with purely exploratory, non-production AI usage. |
Timeline and process strip
Phase 1
3 to 5 weeks to define policy matrix and review orchestration.
Example scenario: before and after
System flow
Before and after scenario
3–5 wksgovernance baseline
- Classify decision
- Score risk
- Policy check
- Route lane
- Audit loop
Low risk + reversible
Auto lane
- Automate with logging
- Monitor drift weekly
- Rollback path tested
High risk or low confidence
Review lane
- Human approval mandatory
- Override reason required
- Sampling and audits
Irreversible or critical policy
Escalation lane
- No autonomous action
- Two-person rule
- Policy owner signoff
Weekly loop
Review misses → update policy + thresholds → retrain/recalibrate
Before
Teams that cannot dedicate reviewers for high-risk flows.
After
High-risk actions are captured with reviewer attribution and rationale.
Who this is not for
Teams that cannot dedicate reviewers for high-risk flows.
Why: low-confidence and high-liability intents need human lanes to prevent trust and compliance exposure.
Organizations with no appetite for policy enforcement processes.
Why: this usually signals governance, ownership, or data-readiness gaps that increase misroute risk.
Projects with purely exploratory, non-production AI usage.
Why: this usually signals governance, ownership, or data-readiness gaps that increase misroute risk.
FAQ
Does every action need human review?
No.
Read full answer
Review thresholds are risk-based so only critical actions require manual intervention.
Can this satisfy internal audit requirements?
Yes, when controls, logs, and reviewer trails are captured in the governance workflow.
Actionable next step
We can pressure-test this decision against your exact workflow, risk posture, and rollout constraints in one working session.
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