Executive summary

A data-to-AI pathway playbook sequences the foundations an organisation must lay, data, platform, governance, talent, before scaling AI, so AI is built on solid ground rather than hype. This is the Data-to-AI Pathway Playbook from the Stratenity Library, a governed strategic execution asset that is already built for you. It gives your team the full working method for data-to-ai pathway, and it walks through everything from data foundations: quality, integration and platform to operating model, mlops and scaling. Every asset ships with a worked client example, a clear RACI, defined KPIs, and governance you can defend, so your team adapts it to a live client engagement instead of starting from a blank page.

What is inside

What this playbook covers

This is a preview of the full deliverable. Inside the Stratenity Library, this playbook walks your team through the complete method, section by section, with a worked client example threaded throughout.

  • Context, Scope and Objectives
  • Approach and Methodology
  • Data Foundations: Quality, Integration and Platform
  • Governance, Trust and Data as a Product
  • Use-Case Selection and the Value Portfolio
  • The Sequenced Path from Readiness to Deployment

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