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AI Opportunity Map

By Juan Beltrán, Industrial B2B AI Transformation Executive.

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.

About the author

Juan Beltrán, Industrial B2B AI Transformation Executive, based in Zug, Switzerland. How this site researches, sources and corrects its work.

Disclaimer

Personal website. Views are my own and do not represent ABB or any current or former employer. Full legal disclaimer.

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