What should a corporate AI safety readiness review include?
A readiness review should show whether the organisation has the right use cases, governance, data, people capability and assurance routines to adopt AI safely.
The review should cover seven areas: strategic intent, use-case value, risk level, data readiness, governance, people capability and pilot feasibility. The final output should be a simple executive story backed by a practical 90-day roadmap.
Seven review areas
- Strategic intent: what business and safety outcome AI should support.
- Use cases: where AI creates real value, not only novelty.
- Risk level: consequence of wrong, biased or unsupported outputs.
- Data readiness: availability, sensitivity, quality and ownership.
- Governance: decision rights, review duties and prohibited uses.
- People capability: readiness of EHS, operations, HR/L&D and innovation teams.
- Pilot feasibility: timeline, scope, metrics and implementation support.
What leaders should receive
Leaders should receive a concise readiness narrative, not only a long assessment. The best output explains where to start, where not to start, who owns the pilot, what controls are needed and how success will be measured.
Why 90 days matters
A 90-day roadmap creates enough time for discovery, prototype, user feedback and governance review without turning the work into a slow transformation programme. It also helps leaders make a funding decision based on evidence.
How Safety Nexus applies this
The Corporate AI Safety Diagnostic is structured around discovery, readiness review, use-case and governance mapping, and a 90-day pilot roadmap for safety-critical operations.
Book a discovery call before payment so the diagnostic scope matches your organisation's risk context.