The short answer
An AI readiness assessment is a short piece of consulting work in which a consultant studies how your company works today and reports where AI would help, in what order, and what stands in the way. You should finish with a written assessment, a ranked list of use cases, and a roadmap you can take to your partners or board.
- It looks at processes, data, systems, people and rules
- It ranks use cases by value and effort
- It says what not to do as well as what to do
- It ends with a roadmap, not a slide of ideas
What the consultant looks at
A proper assessment covers five things.
- Processes: how the work is really done, including the steps nobody wrote down
- Data and documents: where they live, what condition they are in, and what language they are in
- Systems: your ERP, CRM, document store and the connections between them
- People: who would use the system and who would own it
- Rules: the data protection and sector regulations that apply to you
Who should be involved
Plan for one sponsor from management, the head of each department being assessed, someone from IT, and two or three of the people who do the daily work. The last group matters most. They know where the time goes.
What you should receive
At the end you should hold a written assessment of where you stand, a list of use cases scored on what each would save and what it would take, and a roadmap that names the first project. A good assessment also names the ideas that were considered and rejected, with the reason.
If all you receive is a presentation of possibilities, the assessment has not done its job.
What happens next
The first project on the roadmap becomes a scoped build. Because the consultant already knows your processes and documents, the build starts from facts instead of assumptions. At EnterpriseAI.ae the same team carries on from assessment to build.