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Manufacturing · 2026
Global industrial and life-sciences organizations
- Problem
- Connect AI strategy to value-chain use cases in maintenance, supply, quality, and regulated productivity.
- Role
- AI leadership and enablement in a consulting context.
- Approach
- Value-chain analysis, use-case design, an MVP-to-scale path, and governance in regulated contexts.
- Impact
- Built enterprise AI areas from the ground up, translating strategy into scalable, governed adoption for a global industrial manufacturer, enabling approximately US$600M in annualized value through the global deployment of AI solutions across factories, and for the pharmaceutical sector, optimizing new drug launches from sales planning and field-force value realization to performance measurement and forecasting.
- Lessons
- In regulated industries, governance is what makes scale possible.
Related capabilities
- AI strategy & portfolio prioritization
- Data & AI governance
- AI / Data operating models & CoEs
Employers are named and consulting clients stay anonymized. Company-level figures such as portfolio size, GMV or delinquency show the context of the period in which the work took place.