Where it matters
An AI pilot works in a demo, but no one can yet say how often it fails, what data it may use, what it costs at real usage, or when a person must take over.
What this discipline brings
- Evaluations based on representative tasks and known failure cases
- Permission-aware retrieval and bounded tool access
- Human review, fallback, and incident paths
- Monitoring for quality, latency, and cost
Start with AI Production Readiness when the release decision is unclear. Implementation can then be scoped through Productionization & Modernization.