AI Readiness Assessment & Strategy
Most stalled AI pilots were not ready when they started: no owner, no measured cost, no data access and no test cases. We start by finding out. Run our ten-question check now, in your browser, or book a call and we will do it with you.
Is this you?
You are probably here because…
- 01You have been asked to justify an AI project before it starts.
- 02You do not know which workflow to automate first.
- 03A previous pilot never reached production.
- 04The board wants a plan, not a demo.
How we approach it
Ten questions built from our discovery-call criteria: measured cost, an owner, data access, test cases and a safe way to be wrong. Each 'no' comes with the step that closes it.
We assess whether your data is sufficient for the use case before any model work begins. If it is not, we say so and fix the pipeline first.
A board-ready plan with priorities, risks and a first project chosen on evidence rather than enthusiasm.
The services behind it
Each one has its own page with deliverables, timelines and tools.
Live products behind it
Working systems, not slides. Each page has the detail and a button into the live demo.
Related reading
Questions
Ten questions about one workflow. It gives a score and an ordered list of gaps, runs entirely in your browser, and sends no data anywhere.
Two to four weeks to a board-ready strategy. A data audit on its own can be done in about two weeks.
Then we tell you that, and fix the data pipeline first. Training on bad data only automates existing errors.
The first discovery call is free. If the problem is large, a paid two-week audit can follow, and its fee is credited against the build.