AI readiness assessment guide
A practical guide to evaluating business value, data, access, risk, adoption, architecture, and operating ownership before an AI rollout.
Readiness is not a license check or a maturity score. It is evidence that a useful scenario has an owner, approved information, a safe action boundary, a measurable outcome, and a realistic path into operation.
Begin with work worth changing
Start with recurring work, customer or employee friction, constrained expertise, delayed decisions, or a measurable operating problem. A popular tool is not a business case.
- Name the person and job
- Describe the current delay, cost, risk, or quality gap
- Define the useful outcome
- Identify the owner who can accept or reject the change
Inspect the information and authority
The system can only be as dependable as the information it may use and the authority it may exercise. Readiness work maps sources, permissions, sensitivity, retention, tool access, and required human checkpoints.
- Approved knowledge and systems
- Identity and least privilege
- Sensitive-data boundaries
- Actions the AI may recommend, prepare, or execute
Prepare the people and operating model
Training, support, evaluation, incident handling, cost control, and governed change are part of readiness. They should not appear for the first time after a pilot succeeds.
- Role-based learning
- Support and escalation
- Quality and value measures
- Change, retirement, and ownership
Bring evidence for each item.
Use the checklist to prepare an internal discussion or a Temen working session. An unknown answer is useful when it is recorded as an explicit decision to resolve.
Ungated and available without submitting a formOfficial guidance, organizational authorship, and a visible review date.
- Author
- Temen Systems Advisory and Solution Engineering
- Reviewer
- Responsible AI and Security Review
- Published
- August 1, 2026
- Last reviewed
- August 1, 2026
Turn the guide into a customer-specific decision.
Temen can assess the current state, frame the options, validate dependencies, and create an accountable path into delivery or operation.