AI readiness
AI Readiness Assessment
Determine whether governance, data, technology, workforce and operating conditions can support responsible AI.
Problems we solve
When this capability becomes valuable.
Problem
AI ambition is ahead of readiness
Data, controls, skills or ownership may not support deployment.
Problem
Risks are discussed inconsistently
Privacy, security, human oversight and accountability lack a common model.
What Control 21 provides
A practical, integrated response.
Capability
Readiness baseline
Assess strategy, governance, data, technology, workforce and delivery.
Capability
Risk and control map
Define accountability and minimum safeguards.
Capability
Prioritised roadmap
Sequence foundations, pilots and scale decisions.
Expected outcomes
What good should look like.
- A defensible readiness position
- Visible gaps and accountable actions
- A safer route from pilot to scale
Next step
Start with the outcome
Describe the result, constraint or risk. Control 21 will recommend the smallest sensible starting point.
