AI Readiness Checklist for Enterprise Teams

Why Most AI Pilots Don't Reach Production

The gap between "we ran a pilot" and "this is in production" is where most enterprise AI initiatives die. It's not a technology problem — it's a readiness problem. The checklist below is what we use in initial client discovery to identify blockers before they become expensive.

Data Readiness

Before any AI project starts, answer these questions:

• Do you have access to the data the AI will need — structured and unstructured?Is the data clean enough to use, or does it require significant remediation?
• Do you have a data governance policy that covers AI training and inference?- Can you export or query the data programmatically, or is it locked in a legacy system?
• Do you have labelled examples of the task you want the AI to perform (even 50-100 examples)?

Infrastructure Readiness

• Do you have a cloud environment or on-premise GPU capacity for inference?
• Is your IT/security team aware of and aligned with the AI initiative?
• Do you have API access to the data sources the AI will need at runtime?- Is there a staging/test environment separate from production?

Process Readiness

• Is there a clear owner for the AI output — a person or team responsible for acting on it?
• Is there a human review step defined for cases where the AI is uncertain or wrong?- Have you defined what "good enough" accuracy looks like for go-live?
• Is there a rollback plan if the AI under-performs in production?

Organisational Readiness

• Does executive sponsorship exist and is it active (not just nominal)?
• Do the end users who will interact with the AI output know about and support the initiative?
• Is there budget allocated for iteration post-launch, not just build?
• Is there a named person responsible for monitoring model performance over time?
  

What To Do With Your Score

If you answered "no" or "unsure" to more than 3 items in any section, that section is a blocker. Treat it as a project workstream, not an afterthought. The AI implementation itself is often the easiest part — the surrounding readiness is where projects stall.
If you'd like us to run this assessment with your team, get in touch at /contact.