Track 02 · AI Readiness
How do you know if your business is ready for AI, and where do you start?
A business is ready for AI when five layers are in place: clean enough data, defined processes, clear ownership, the right access controls, and a first use case with real leverage. You start by finding one high-value, low-risk process and governing it, not by buying a platform.
This track helps you find where AI creates real leverage in your specific business and which process to automate first, before you spend a dollar on tools.
The reading path
Start here, then this.
- Insight Where to start with AI
- Tool AI roadmap generator
Common questions
Straight answers.
-
Do we need perfect data before we can use AI?
No, but you need data that is good enough for the specific use case. Readiness is per use case, not a company-wide gate. A narrow, well-scoped first project rarely needs a full data cleanup.
-
What should our first AI project be?
A process that is high value, well understood, and low risk if it is wrong. You want real leverage with a small blast radius, so you can prove value while the governance is still forming.
-
Should we hire an AI team before we start?
Usually not. A single accountable owner plus fractional senior leadership gets you further than a new team, because the first job is judgment about what to build, not headcount.
Ready to act on this?
The reading path is the self-serve version. When you want it applied to your own business, this is the next step.