Audience
Sponsors, delivery teams, security, procurement and operators
Evaluation & Measurement · Updated August 8, 2026
By PlanckCyber
AI Implementation Evidence Checklist
The evidence required to move from idea to pilot, production and operation.
How to use this resource
A checked box means the evidence exists, is current and has an accountable owner.
Important: Checklist completion does not imply certification or professional approval.
When to use it
An AI initiative is being reviewed or advanced.
Objective
Prevent stage advancement without required evidence.
Business evidence
- Defined operating outcome
- Current-state baseline
- Volume and exception evidence
- Sponsor and operating owner
- Decision deadline and funding path
Workflow evidence
- Mapped trigger-to-outcome process
- Users and roles
- Decision and approval points
- In-scope / out-of-scope cases
- Known failure modes
Data and integration evidence
- Authorized data categories
- Data quality and lineage
- Approved systems and environments
- Supported interfaces
- Retention and deletion requirements
Evaluation evidence
- Representative cases
- Expected results and thresholds
- Adversarial and misuse cases
- Human escalation tests
- Latency and cost measures
Security and governance evidence
- Threat and risk review
- Identity and least privilege
- Secrets handling
- Logging and monitoring
- Incident response and rollback
- Change and release approval
Operating evidence
- User training and adoption plan
- Support and escalation
- Named operating owner
- Monitoring cadence
- Vendor and model change process
- Funded maintenance plan
Gate outcome
- Current stage
- Critical gaps
- Gap owners and dates
- Decision
- Approver
Start with the problem
Have a problem AI might solve?
You do not need a specification. Tell us what you are trying to improve.