Answer first
Do not begin with a list of AI tools. Begin with one workflow where delay, inconsistency, or manual effort affects a business result. Name the owner, current process, acceptable output, and decision the team needs to make.
NIST's AI Risk Management Framework organizes practical AI work around governing, mapping, measuring, and managing risk. That sequence supports a small, evidence-led first theme instead of a broad technology rollout.
Use five filters to choose the first theme
A candidate is strong when the goal is explicit, the workflow is narrow, representative data can be accessed, material risks have an owner, and the result can be compared with the current process. Missing one filter does not always stop the work, but it should change the next step.
| Filter | Evidence to prepare | If it is missing |
|---|---|---|
| Business goal | One outcome such as cycle time, quality, or conversion | Interview the process owner |
| Workflow | A defined start, end, inputs, outputs, and exceptions | Map one representative case |
| Data | Accessible samples with known ownership and freshness | Run a data-readiness check |
| Risk | Approval, access, privacy, and escalation rules | Set a human-review boundary |
| Measurement | A baseline and a continuation threshold | Measure the current process first |
Choose the next action, not a premature solution
If the business goal is still vague, spend the next step on theme discovery. If several themes compete, rank them. If one theme has data and a measurable baseline, design a PoC. If the evidence is already strong, prepare an implementation decision with ownership and controls.
The AI theme diagnostic applies these five filters and gives an immediate stage and next action.
Find the next decision for your AI theme
Use the five-question diagnostic to identify whether the next step is discovery, prioritization, PoC design, or an implementation decision.