Field guide
The AI Readiness Map
Five questions to answer before buying another AI tool.
AI readiness is less about enthusiasm and more about clarity. A useful implementation begins with work that is understood, knowledge that can be trusted, and people who know where judgment belongs.
1. What repeated work creates the most friction?
Start with work that happens often, follows a recognizable pattern, and consumes meaningful time. A contained process is easier to assess than a broad ambition to ‘use AI.’
2. Is the information usable?
AI workflows need approved, organized, and accessible information. If the source material is scattered or contradictory, knowledge work comes before automation.
3. Where must a person review?
Define the decisions, communications, or exceptions that require human judgment. Review points should be designed into the workflow rather than added after a problem.
4. What result will prove value?
Choose measures such as faster response preparation, reduced searching, improved consistency, or shorter cycle time. A clear measure protects against technology theater.
5. Can the team adopt the change?
Documentation, training, ownership, and feedback determine whether a promising workflow becomes useful operating capability.
The best first AI project is not the most impressive one. It is the smallest responsible workflow that creates visible value and teaches the organization how to improve.
Turn the idea into a system.
We can help assess the opportunity, design the workflow, and create a practical implementation path.
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