AI opportunity assessment
Management teams and business units that want to use AI deliberately rather than by chance.
Updated: 2026-11
The AI opportunity assessment answers one question: where does AI bring measurable benefit in your company, and where not? We capture workflows with business units, rate use cases by benefit, feasibility, data and risk, and recommend the two or three worth doing first, classified under the AI Act and data protection.
Many companies have tried AI tools but lack an overview of where they really help. Ideas come from headlines instead of their own workflows, and pilots end without anyone measuring the benefit.
A structured assessment reverses the order: workflows first, tools second.
What you get
Workflow capture
Overview of workflows with high reading, searching or sorting effort in the units involved.
Rated use cases
Each case rated by benefit, feasibility, data readiness, risk and effort.
Recommendation
The two or three cases worth doing first, with success measures and next steps.
Regulatory classification
Role under the AI Act, transparency duties and data protection questions for each recommended case.
How it runs
- 01
Kick-off
Define goals and units involved, capture existing tools.
- 02
Workshops
Short workshops per unit on workflows, pain points and data.
- 03
Assessment
Structure, rate and test use cases with examples.
- 04
Result
Present the recommendation and decide on delivery or a prototype.
Price framing
Fixed scope depending on the number of units involved; the recommendation is independent of who delivers later.
Indicative, not a binding quote — the frame is confirmed during scoping.
Parent service: AI consulting & integration
FAQ
Do we need technical knowledge for this?
No. We talk to specialists about their work; we handle the technical translation.
What if AI brings us little?
Then we say so. Often this reveals automation without AI that works faster and costs less.
What happens after the assessment?
Typically a prototype for the best use case, tested with real examples, before deciding on delivery.
AI opportunity assessment
Management teams and business units that want to use AI deliberately rather than by chance.