From experiments to deployments A practical path to scaling AI

2025

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This guide provides a practical framework for organizations to move AI from experimentation to successful deployment and scaling.

* Details a four-phase repeatable system for scaling AI: Set the foundations, Create AI fluency, Scope and prioritize, and Build and scale products.
* Explains why AI requires a new playbook, focusing on speed, cross-team innovation, compounding ROI, and the need for new skills.
* Offers actionable steps and real-world examples for each phase to help teams build AI systems that learn and improve over time.

Tags: AI, deployment, scaling, experimentation, strategy

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