AI transformation roadmap
AI transformation roadmap: A ranked sequence of workflows to redesign with AI, each with an owner, a metric, a time-box and a definition of 'in production', reviewed quarterly against measured results.
Why it matters
A good roadmap is short enough to fit on one page and specific enough to act on: workflow, owner, metric with baseline, data source, risk level and target quarter. It should be revised every quarter as shipped systems reveal what is easy and what is hard in your organisation.
Related terms
- AI strategy: The explanation of why and where AI matters to a business's competitive position and economics. The roadmap is the ordered delivery plan that implements it.
- AI readiness assessment: A structured check of whether a workflow or organisation has the owner, accessible representative data, process stability, risk tolerance and measurement needed to run AI in production.
Where it comes up
- What should an AI transformation roadmap include?
- From AI Pilot to Production: Why Proofs of Concept Stall and How to Ship
- AI Transformation Roadmap: How to Plan It One Workflow at a Time
- What Is AI Transformation? A Plain-English Definition for Operators
In practice
In a Sudo Sapient engagement this is settled in the one-week Discover phase, before any build starts. The studio's process is on sudosapient.com.