Think · AI consulting
AI strategy & processes.
AI isn’t a tool question. It’s a strategy and process question.
Before you buy the next tool: where does your company stand, where does time leak away, and where is the biggest lever? AI strategy creates clarity – prioritised by effort and benefit, not by hype. And because a strategy in the drawer moves nothing, I see it through into your team’s everyday work – strategy and delivery from one hand.
What’s included In concrete terms.
- AI readiness: where does your company stand, where does time leak away?
- First use what you already pay for – deploy Copilot & co. properly before buying new
- Use-case and potential analysis, prioritised by effort and benefit
- Process redesign, automation and roadmap
- Governance & guidelines: who may do what with which data?
- Workshops & enablement for your team
The Copilot reality: first use what you already pay for
Many companies already have AI in the house – Microsoft Copilot in the Office suite, for example – and barely use it. The first step is enablement, not tool shopping: getting the most out of what’s already licensed. Only then do we look at what’s really missing.
Use cases by effort and benefit
Instead of a scattergun approach: a prioritised list of concrete use cases across all departments – from quick win to strategic project. So attention flows where it delivers fastest.
Governance & guidelines
Clear rules on which data may go into which tool – and which may not. That removes the privacy fear and gives your team the confidence to use AI day to day without taking risks.
FAQ: Good to know.
What is AI readiness – and how do we assess it?
AI readiness shows where your company stands on data, processes, tools and team. We assess it in a compact status check – the basis for prioritising the right use cases instead of blindly buying tools.
Which AI use cases are worth it first?
The ones that rank highest by effort and benefit: quick wins with clear time savings before big projects. We create a prioritised use-case list across all departments – from quick start to strategic initiative.
How do we handle AI governance and data protection?
With clear guidelines: which data may go into which tool – and which may not. That removes the privacy fear and gives your team the confidence to use AI day to day without taking risks.
Where do we best start?
With an orientation workshop: status assessment, use cases, roadmap. No mega-project, no tool shopping – just clarity on where the biggest lever is.
Do we need our own AI department for this?
No. What matters is understanding processes and setting priorities. That’s exactly what I do with you – and I enable your team to carry on independently.
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