Processes
We look for places where people lose time copying, classifying and re-entering data, or make the same decisions by repeatable rules.
Service
AI readiness assessment for companies
An AI readiness assessment is the first stage of working with CrAIT. We review processes, data, risks and accountability, and finish with a rollout roadmap and a pilot scope — before the company spends money on a tool.
Scope
What we review in an AI readiness assessment
The assessment does not start with choosing a model, but with the work AI is meant to support. We look at four areas, because delivery can stall in any of them.
Data
We map the sources: CRM, ERP, documents, databases and APIs. We check which are available now, which need cleaning up, and who owns them.
Risks
We assess what can go wrong: sensitive data, a wrong model answer, no trace of a decision. Identified risks are assigned an owner and a way to contain them.
Accountability
We agree what the model may do on its own, what needs human approval, and who maintains the solution after go-live.
Outcome
What the company gets after the assessment
Every stage of work with CrAIT ends with a concrete artifact. After the assessment, these are four documents you can base a pilot decision on.
Risk map
A list of risks with impact, owner and mitigation — including the ones that argue against automating a given process.
Quick wins
Changes that reduce operational work without a large technical project and let you test AI on a real case.
Rollout roadmap
The order of use cases: from those that pay back fastest to those that first need data cleanup or integration.
Pilot scope
One process, real users, and success conditions agreed before the start, so the pilot result can be assessed.
How it works
How an AI readiness assessment runs
We work in stages, because good automation starts with understanding the process. The assessment is the first of them.
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01
Call
We pick one process that currently costs the most time or risk.
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02
Workshops
We talk to the people who run the process and are accountable for it.
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03
Analysis
We go through the workflow, data sources, risks and accountability.
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04
Recommendation
We hand over the risk map, quick wins, rollout roadmap and pilot scope.
FAQ
Questions about this service
Where does an AI readiness assessment start?
With the one process that costs the company the most time or risk today. In workshops with the people who run it, we analyse the workflow, data sources and accountability. Only then do we extend the assessment to other areas.
Do our data have to be in order before the assessment?
No. The assessment shows which data sources are needed immediately and which can wait. Putting data in order is part of the later work: we connect CRM, ERP, documents, databases and APIs into one flow ready for AI.
What is the result of an AI readiness assessment?
Four artifacts: a risk map, a list of quick wins, a rollout roadmap with the order of use cases, and a pilot scope with success conditions. On that basis the company decides whether and where to run a pilot.
Next step
Let's start the assessment with the one process that currently costs the most time or risk.
Write to CrAIT
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