AI Readiness Assessment

We already have AI in production. Is an assessment still worth it?

Q: We already have AI in production. Is an assessment still worth it?

Yes. It is a common starting point. The assessment then focuses on hardening what is live, including data separation, quality checks, cost tracking and security, before the next AI feature adds risk.

Last Updated

8 November 2026

Reading Time

1 min

ai readinessproduction aihardening

Yes, and it is a common starting point.

When AI is already live, the assessment focuses on hardening what is running before the next AI feature adds more risk. That typically means checking:

Data separation. Whether AI can ever see one customer's data while working for another.
Quality checks. Whether a change to a prompt or model is tested before customers see it.
Cost tracking. Whether you know what AI costs per customer and per feature.
Security. Whether your AI is protected against prompt injection and data leaks, with an audit trail a regulator would accept.

Tell us what is already live

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