Skip to main content

Enterprise Readiness Checklist

Beginner explanation​

Enterprise readiness means the system is understandable, governable, supportable, and safe enough to operate beyond a demo.

Production explanation​

This checklist is useful because most AI failures in organizations are not model failures alone. They are failures of deployment discipline, permissions, observability, support workflows, or procurement confidence.

Real-world enterprise example​

A team preparing a document copilot for a pilot review uses the checklist to prove grounding behavior, audit logging, permission boundaries, and fallback paths.

Checklist​

Product​

  • clear user roles and allowed actions
  • defined failure and fallback behavior
  • evidence or citation visibility where needed

Security​

  • tool risk classification
  • approval paths for write actions
  • prompt injection mitigations
  • secret handling and tenant isolation

Reliability​

  • offline eval cases
  • latency and cost monitoring
  • retry strategy and timeout policy

Operations​

  • trace logging for each run
  • staging environment
  • deployment checklist and rollback plan

Mini exercise​

Score one project red, yellow, or green against each checklist area and identify the two biggest gaps.

Project assignment​

Use this checklist to prioritize the final hardening backlog for any project in the playbook.

Interview questions​

  • What makes an AI system enterprise-ready beyond model quality?
  • Which readiness gaps are most likely to block a pilot?
  • How would you show a stakeholder that your system is governable?

Monetization angle​

Readiness reviews can become architecture audits, pilot-readiness packages, or premium implementation offerings.