Mapping
Interviews and workshops that show where time goes today.
- Task and process mapping
- Data and tool review
- Baseline for time and cost
AI
An AI strategy built on your actual work
We map where AI saves time or adds revenue, and give you a plan your team can act on.
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The challenge
Why AI plans stay on paper
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Too broad to act on
Strategies list possibilities but never pick the first task.
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No link to the numbers
Without a baseline, no one can show what AI changed.
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Risk left unclear
Questions on data, security and rules slow every decision.
What you get
A plan you can act on
Prioritised use cases
Every idea scored by value, effort and risk.
- Business case per use case
- Quick wins and long-term bets
- Build, buy or adapt
Roadmap and rules
What happens when, who owns it and how data is handled.
- 12-month roadmap
- AI policy for your team
- KPIs and follow-up
How we work
Four weeks to a clear plan
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01
Interviews
We talk with the people who do the work.
Week 1
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02
Mapping
Tasks, data and tools mapped and measured.
Week 2
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03
Prioritising
Use cases scored, with business cases for the best.
Week 3
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04
Roadmap
A plan, a policy and the first use case ready to start.
Week 4
FAQ
Questions
How long does an AI strategy take?
Typically four weeks, from the first interview to a finished roadmap.
Who from our side should take part?
A sponsor from management and the people who do the tasks we look at.
Do you recommend specific tools?
Yes, when it fits. We are not tied to any vendor, so we recommend what suits your tasks.
What about the EU AI Act and GDPR?
We include data handling and rules in the plan, and point out where you need legal advice.
What happens after the strategy?
You can run it yourselves, or we help with training, automation and the first pilots.