AI strategy
Sequence first, technology second.
We look at your processes, assess use cases for value and feasibility and determine where you start. With architecture, model choice and the rules of the EU AI Act.
Discuss a strategy sprint
Use cases by impact
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Outcome
Which use case comes first determines everything else.
Use cases, prioritized
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01
A roadmap with clear priorities
Use cases ranked by value, feasibility and risk, with a clear first step.
Business case
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02
A business case that holds up
Effort, value and assumptions are out in the open, so management and IT see the same numbers.
EU AI Act classification
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03
Clarity on the EU AI Act
You know which application triggers which obligations before anything is built.
Building blocks
What a strategy sprint covers.
A fixed scope, three weeks, a roadmap at the end.
Assessment
of processes and systems
Evaluation
of use cases
Architecture and model choice
Data and interfaces
EU AI Act and data protection
Roadmap and business case
Five mistakes we watch for in the sprint.
- 1
Pilot in isolation
runs in one department but isn't connected to any system.
- 2
The data question comes too late
only after the build does it turn out the data is missing.
- 3
Tool before use case
the license is bought before anyone knows what it's for.
- 4
Nobody is responsible
operations have no owner.
- 5
Rules as an afterthought
EU AI Act and data protection are only checked after the build.
Roadmap · Q1–Q4
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A strategy that can actually be built.
We don't write strategies for someone else to implement. What we recommend, we can build ourselves, and we test that during the sprint.
Explore integrationsStart with a strategy sprint.
Three weeks, a clearly defined scope, and a prioritized roadmap with a business case at the end.
What's included
- Assessment of your processes
- Evaluation of up to 20 use cases for value and feasibility
- Architecture and model recommendation
- Roadmap and the top five use cases with a business case