AI Use Case Generator

Structured questionnaire for the AI Opportunity Workshop. Capture business context, score pilot candidates, and generate a shortlist you can execute.

Workshop Inputs

Fill this in with the client team during discovery. Use current-state estimates, not aspirational targets.

1. Business Context

Define where this use case sits in the organization and what outcome leadership expects.

Use the actual business unit name you are running the pilot with.

Pick the team that owns the workflow end-to-end, not just a stakeholder team.

Select the one objective that will decide whether this pilot is a success.

2. Workflow Definition

Be concrete. Good workflow definitions make shortlisting far more accurate.

Expected: trigger, key steps, systems involved, and current handoff points.

Pick the bottlenecks that currently block business performance, not hypothetical future issues.

3. Baseline Metrics

Use conservative estimates if exact numbers are missing. Consistency matters more than precision here.

Expected: average number of workflow items processed weekly.

Expected: human effort time per item, excluding waiting time.

Expected: percentage needing correction, re-open, or quality review.

4. Feasibility and Risk

These answers drive shortlist order by balancing impact potential with implementation constraints.

1: fragmented/unusable data, 5: structured and accessible data.

1: no API/access path, 5: straightforward integration path exists.

Select High for regulated data/processes needing strict controls.

Choose Yes only if one accountable owner can approve pilot scope and metrics.

Expected: realistic pilot duration from kickoff to decision package.

Low: prioritize certainty; High: accept more ambiguity for faster learning.

Prioritized Shortlist

Generated from your inputs. Use this output directly in your workshop notes and pilot recommendation pack.

Complete the questionnaire above and click Generate Use Cases to produce a ranked shortlist.