Productizing Enterprise AI: A C-Level Playbook for AI Product Management

Many enterprises treat AI as experiments rather than products. This episode gives C-level leaders a pragmatic playbook for productizing AI—installing roles, metrics, roadmaps, and processes that convert models into repeatable, revenue-driving products. Mirko outlines how to set clear outcome-aligned KPIs, structure AI product roadmaps that link to business OKRs, define the AI product manager role and accountability model, and design launch and adoption strategies for internal and external AI offerings. The episode covers trade-offs between centralization and federated models, pricing and cost-allocation approaches, lifecycle governance from discovery to sunset, and how to measure ROI beyond accuracy: adoption, process automation, and customer impact. Packed with concrete checklists, decision gates, and real-world examples, leaders will leave with an actionable roadmap to move from pilots to production products that deliver measurable value.Become a supporter of this podcast: https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support.I share practical AI leadership notes on LinkedIn — the kind you can forward internally or reuse in executive discussions.Follow Mirko on LinkedIn if you want decision-ready frameworks, not hype.