Looking for AI consulting services in Austin? Learn how a structured AI roadmap — from readiness assessment to full deployment — turns AI am
Most companies don't have an AI problem. They have a pre-AI problem.
Before any model gets deployed, three things need to be true: your data is in shape to learn from, your use case is tied to a measurable business outcome, and your governance framework is built into the architecture — not bolted on afterward.
When those foundations are missing, the pattern is predictable: a pilot that works, followed by a production deployment that stalls, followed by budget questions nobody wants to answer.
We've been working on a detailed breakdown of what a real AI roadmap looks like — from readiness assessment through phased deployment — and how the sequencing of those steps is what separates AI initiatives that deliver from the ones that produce decks. If your organization is working through this — or about to — the full post is worth a read. Link in comments.
