From Pilot to Product: A C-Level Playbook for Packaging and Selling Enterprise AI

Many AI initiatives stall at pilot or PoC because leaders treat models as technical artefacts instead of products. This episode gives C-level leaders a concrete playbook for productizing AI in enterprises: how to define the customer value proposition, choose commercialization models (embedded features, platform, API, managed service), price on value not cost, structure data and IP contracts, align sales and engineering motions, and guarantee operational SLAs post-sale. I draw on cross-industry examples and pragmatic trade-offs—when to productize vs. keep bespoke, how to measure product-market fit for algorithmic outputs, and the governance checkpoints required to maintain trust and compliance after launch. Listeners will walk away with a step-by-step checklist to move from successful pilots to scalable, monetizable AI products that deliver measurable business outcomes.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.