AI Opportunity Map
Start with a process and its performance gap. Compare process repair, integration, rules, predictive models and generative AI, then build a shortlist with assumptions, missing evidence and the next experiment. Recommendations are transparent decision aids for discussion with process owners.
Questions executives ask
- Do I need an AI idea before starting?
- No. Start with a process, its outcome and an observed problem. The map helps you identify and compare candidate interventions.
- Can the recommendation be a process fix rather than AI?
- Yes. Process repair, integration and rules are legitimate alternatives. AI is useful when its capability addresses the constraint and performs reliably enough in representative tests.
- Are recommendations or ROI validated predictions?
- No. Decisions depend on your inputs, disclosed assumptions and delivery conditions. Replace estimates with operational evidence. The tool does not provide peer benchmarks.
- Do released hours count as cash savings?
- Released hours are capacity. Cash savings need an identified cost reduction, avoided hiring or another credible realization path. Review and rework must be included in net time saved.
- Can I compare several processes?
- Yes. Keep the outcomes, evidence and assumptions visible. Identify shared enabling work and avoid counting the same benefits in multiple opportunities.
Canonical URL: https://juanbeltran.ch/tools/ai-opportunity-map