Check whether one AI project is ready for the people who will use it

Review record

Industry 5.0 readiness check
Workflow being reviewed: Not entered
Process-owner role, optional: Not entered
Questions scored: 0/12

People
Have the people doing the work helped define the task and review the proposed change?
Not answered. Use direct input from the intended operators, engineers or reviewers.
Are approval, escalation and stop responsibilities clear?
Not answered. Name the people who may accept a result, authorize an action and stop the workflow.
Is practical training planned for users and the people who will operate the system?
Not answered. Include limitations, source checking, escalation and the fallback process.
Area indicator not calculated: complete all three questions.

Resources
Is there a measured resource, waste or workload baseline relevant to this workflow?
Not answered. Use the measure the project actually affects: energy, material, scrap, rework or time.
Is the technical approach proportionate to the problem?
Not answered. Compare the necessary hardware, model complexity and operating effort with simpler options.
Will wider resource effects be checked alongside the intended benefit?
Not answered. Include the new system’s compute, equipment, maintenance and operational demands.
Area indicator not calculated: complete all three questions.

Resilience
Can the existing process continue safely if the AI is wrong or unavailable?
Not answered. Describe and test a fallback that users can actually follow.
Are the workflow’s data, software, hardware and connectivity dependencies understood?
Not answered. Record which failures could interrupt work and what to do when a dependency is unavailable.
Are content updates, technical updates and incident responsibilities assigned?
Not answered. Identify the operating owner and agree any external support scope.
Area indicator not calculated: complete all three questions.

Delivery
Is there a named owner for the pilot and the next investment decision?
Not answered. The owner must have the authority and time to make the agreed decisions.
Have representative examples been inspected and access to the evidence approved?
Not answered. Check permitted use, versions, difficult cases and data-owner approval.
Are the success measures, unacceptable errors and stop conditions agreed?
Not answered. Write them before implementation, including human review effort and operating costs.
Area indicator not calculated: complete all three questions.
Keep going, or use the unanswered questions to plan your next discussion. The overall indicator appears only when all 12 questions are scored.

Questions to resolve next
Are approval, escalation and stop responsibilities clear? — Not answered. Name the people who may accept a result, authorize an action and stop the workflow.
Can the existing process continue safely if the AI is wrong or unavailable? — Not answered. Describe and test a fallback that users can actually follow.
Have representative examples been inspected and access to the evidence approved? — Not answered. Check permitted use, versions, difficult cases and data-owner approval.
Have the people doing the work helped define the task and review the proposed change? — Not answered. Use direct input from the intended operators, engineers or reviewers.
Is practical training planned for users and the people who will operate the system? — Not answered. Include limitations, source checking, escalation and the fallback process.
Is there a measured resource, waste or workload baseline relevant to this workflow? — Not answered. Use the measure the project actually affects: energy, material, scrap, rework or time.
Is the technical approach proportionate to the problem? — Not answered. Compare the necessary hardware, model complexity and operating effort with simpler options.
Will wider resource effects be checked alongside the intended benefit? — Not answered. Include the new system’s compute, equipment, maintenance and operational demands.
Are the workflow’s data, software, hardware and connectivity dependencies understood? — Not answered. Record which failures could interrupt work and what to do when a dependency is unavailable.
Are content updates, technical updates and incident responsibilities assigned? — Not answered. Identify the operating owner and agree any external support scope.
Is there a named owner for the pilot and the next investment decision? — Not answered. The owner must have the authority and time to make the agreed decisions.
Are the success measures, unacceptable errors and stop conditions agreed? — Not answered. Write them before implementation, including human review effort and operating costs.
Resolve before production
Resolve authority, evidence-access and safe-fallback gaps before production. A high score elsewhere does not remove these requirements.
Are approval, escalation and stop responsibilities clear?
Can the existing process continue safely if the AI is wrong or unavailable?
Have representative examples been inspected and access to the evidence approved?
Educational self-assessment only. This review does not certify readiness or compliance, predict project success or calculate investment return.
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