AI adoption diagnostic
We identify where AI brings real value in your processes — and where it doesn't. We deliver a process map with prioritization and a data readiness score, so you invest where the ROI is real and the risk is manageable.
The problem we solve
Most companies don't know where to start with AI. Pilots get launched on the wrong processes, with unprepared data, and a few months later the result is distrust and a spent budget.
Without a process map and an honest assessment of the data, any AI investment is a bet — not a decision.
What we deliver
- Process map with the points where AI adds value
- Prioritization by estimated ROI and risk
- Data readiness score for each process
- Recommended path: where to start and why
- Effort estimate and concrete implementation steps
How we work
Interviews and mapping
We talk to the people who run the processes and map the real workflows, documents and rules — not the org chart.
Data assessment
We check what data exists, what state it's in and how usable it is for AI agents.
Prioritization
We score each process on value, risk and readiness, so you know where to invest first.
Report and path
We deliver the diagnostic report and walk through it together, with concrete next steps.
Why it matters
AI doesn't fail because it's weak — it fails on unmapped processes and unprepared data. The diagnostic treats exactly these causes before you spend on technology.
Let's map the process you want to automate.
We start with your process, documents and data. From there we define the strategy, the rules and the implementation steps.
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