Most teams jump into AI without knowing if their infrastructure, data, or team can support it. This checklist helps you figure that out before you spend the money.
Is your data accessible, clean enough, and in a format models can actually use?
Can your current stack handle model serving, or does it need work first?
Does your team have the skills to maintain AI systems after launch?
Do you have a specific problem AI solves, or is it still "we should do something with AI"?
Do you know what success looks like and how you'll measure it?
+ 5 more questions covering operations, compliance, integration, change management, and timeline realism.
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We've seen teams spend six figures trying to add AI to systems that weren't designed for it. The data wasn't accessible, the infrastructure couldn't handle model serving, and the team didn't have the skills to maintain it.
This checklist helps you spot those gaps before they become expensive problems. It takes 15 minutes and might save you months.
We'll spend 30 minutes on your specific situation and tell you honestly where you stand.