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An honest five-point diagnostic for planned AI projects.
Your answers stay in your browser — nothing is sent to our servers.
We can state the problem in one sentence and tie it to revenue or cost. (weight 3)
We have relevant, accessible data and know what a correct output looks like. (weight 3)
There is a named internal owner who will use the output and champion adoption. (weight 2)
We know where the AI fits into existing workflows and systems. (weight 2)
We have budget and process to monitor, retrain, and maintain the system. (weight 2)
We have reviewed fairness, compliance, and failure-mode implications. (weight 1)
We can measure whether the AI is better than the current process. (weight 2)
Many AI projects fail not because the technology is wrong, but because the problem, data, owner, integration path or maintenance plan is missing. This diagnostic is deliberately honest: it flags the foundations that must be in place before meaningful investment, helping you avoid the sunk-cost trap.
The tool gives you a quick read. Our team turns that read into a deliverable plan and working system.
We pressure-test your use case, data, integration path and success metrics, giving a candid go/no-go view.
For projects with gaps, we design a short engagement to close the critical foundations before build.
Once foundations are solid, we deliver a working pilot with real users, measured outcomes and a clear path to scale.
Share your results with us and we'll turn them into a clear next-step plan — usually within 48 hours.