Readiness

Check your AI readiness.

Understand where you are ready, where the risks are, and what deserves attention before you invest further.

What we look at

Five questions, one per stage.

The same journey we work through with clients, used here to find where you already have answers and where you do not.

01 Intent
Do you know why this should exist?
Whether the problem is framed, the constraints are real, and anyone could say what success would look like.
02 Sense
Is AI the right shape for this work?
Where AI genuinely helps, where conventional software is better, and which parts should stay with people.
03 Decision
Are the build, buy and integrate choices sound?
Options, trade-offs, vendor and model selection, and whether the investment is prioritised against anything real.
04 Intelligence
Would you know if it stopped working?
Evaluation, reliability, failure paths, data readiness, oversight and the risks that only show up in production.
05 Action
Can you actually deliver and run it?
Engineering capacity, integration surface, deployment path and what happens after launch.

Where to start

A few sentences is enough. We will come back with what we would look at first and whether a readiness check is even the right next step.

It is knowing which questions you can answer and which ones you cannot. That is worth an honest conversation.