Problem clarity
Describe the current workflow, who performs it, where friction occurs, what triggers the work and what happens when the process fails.
RESOURCE · GUIDE
AI opportunity assessment.
A structured way to test whether an AI idea is tied to a real workflow, a measurable outcome and a feasible operating model before solution selection begins.
Outcome definition
Define what should improve, how it can be measured and what evidence would justify continuing, changing or stopping the initiative.
Feasibility
Review data access, integration points, workflow variability, model requirements, human review needs and operational ownership.
Risk and control
Identify sensitive decisions, failure consequences, privacy or security constraints, approval boundaries and escalation paths.
ASSESSMENT QUESTIONS
Questions to answer before selecting technology.
- What specific task, decision or workflow is being improved?
- What measurable business or operational outcome matters?
- What information, systems and approvals are required?
- Where must a human review, approve or override the system?
- What failure modes are unacceptable or need containment?
- What evidence is required before scaling beyond a pilot?
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