AI readiness is an organisation's ability to turn AI into results people actually use: a purpose clear enough to aim it, people ready to trust it and be trusted with it, and a repeatable way to take it from pilot to everyday work. The technology is the easy part to buy. This is the part that decides whether it pays.
They ask about data, platforms, security and governance, and all of that matters. What they rarely ask is whether anyone knows what the AI is for, whether the people expected to use it trust it, or whether there is a way past the pilot. That is where the evidence says AI programmes stall.
They apply to any technology. AI just makes them urgent. Each one has a model and a free assessment behind it.
AI readiness is an organisation's ability to turn AI into results people actually use. It has three layers: a purpose clear enough to aim AI at something that matters, people ready to trust it and be trusted with it, and a repeatable way to take it from pilot to everyday work.
Start with the free Readiness Diagnostic: twelve statements, about four minutes, with a state for purpose, people and process, each read as Broken, Fragile or Strong. The CLEAR, GRIT and ReFRAME assessments then go one level deeper on the pillar that needs it.
No. Data and platforms matter, and they are where most AI readiness checklists start and stop. We start where those checklists don't: purpose, people and process. If your data turns out to be the real blocker, we will tell you plainly and point you to people who do that work well.
The diagnostic takes four minutes. Getting ready depends on what it finds: sometimes a few weeks of clarifying what the AI is for, sometimes months of building trust and a way past the pilot. The work ends when the change is embedded, not when a contract runs out.
No, and ideally you have not. The best time to check readiness is before the contract. We don't build or sell AI, and we diagnose independently of whoever you buy from.
