Layer 7 / AI Amplification
Decide where AI should assist, advise, automate, monitor, or escalate.
Use this checklist to set and review the role, autonomy, and evidence boundary for AI.
Checklist scope
One layer. One workflow. One visible gap.
This page does not replace the full AI Amplification framework page or certify that an AI system is safe. It helps a team inspect one operating condition before scaling.
Concise Readiness Checklist
Assess the current condition, then make one improvement.
Answer from the live workflow and its evidence. If the team cannot point to an owner, record, source, control, or review, treat that as the gap.
Ask now
- Where should AI assist?
- Where should AI advise?
- Where should AI automate?
- Where should AI monitor?
Strengthen next
- Classify AI use cases by autonomy level.
- Define human review requirements.
- Create confidence gates.
- Monitor output quality and risk over time.
Run the Checklist
Apply it to a live workflow, not an abstract AI strategy.
Use one bounded workflow with a named outcome and a decision AI may influence.
- 1
Name the workflow
Describe the trigger, outcome, participants, and the decision AI may influence.
- 2
Inspect AI Amplification
Define the AI role, human-review boundary, confidence threshold, and rollback trigger.
- 3
Record the gap
Name one owner, one corrective action, and the evidence that must exist before scale.
Create the Operating Proof
Use the AI Governance Checklist.
A completed working artifact is stronger evidence than a slide describing future intent.
Start with the checklist gap, complete the tool for the selected workflow, and review whether the artifact is actually used when the next live case arrives.