AI consulting
From possible to useful.
We build AI into our own apps – on device in warfta, through an MCP server in Tackbook – and we built Cavvy as a home for coding agents. That hands-on experience is what we bring when we help you put AI where it makes real work lighter.
Services
From a possibility to a sensible use.
We help teams and companies use AI where it makes concrete work easier, connecting business goals with data, technology and the people who’ll work with it.
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Potential & strategy
We look at recurring tasks, information flows and bottlenecks, and assess possible AI uses by value, effort, data and risk.
You get: prioritised use cases and a realistic next step.
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Prototypes & feasibility
A focused prototype makes an idea testable. Together we define examples, quality criteria and a comparison with how things work today.
You get: solid ground for deciding whether to build it.
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Making knowledge accessible
We design assistants that surface relevant content from your existing documents and knowledge. Sources, access rights and what happens when there’s no good answer are part of the plan.
Possible uses: internal knowledge search or support for your service team.
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Extending workflows & products
We plan AI features for apps and existing processes – drafting, pre-sorting requests or structuring information. Human sign-off stays in the loop wherever it’s needed.
You get: an integration with defined limits and clear ownership.
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Choosing tech & operations
We compare approaches against your requirements for quality, data handling, cost and operations. Test cases and ongoing evaluation make changes visible.
You get: documented selection criteria and an operating concept.
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Enabling teams
Working on real tasks, we figure out how AI fits into daily work and how to check what it produces. Together we write down good practices and limits.
You get: practical guidance for the team and reusable workflows.
How we go about it
- Step 1
Define the task
We start with the workflow and the outcome you want. What should change – time, quality, or a bottleneck?
- Step 2
Test with focus
We pick a manageable use case and test it with fitting examples and clear success criteria.
- Step 3
Weigh the results
We look at quality, failure cases, effort and running costs. Then you decide: expand, adjust or stop.
- Step 4
Bring it into daily work
We support integration and rollout. Ownership, feedback and regular review become part of the process.
Our evidence
Instead of other people’s references, we show our own islands.
AI consulting FAQ
Do we need a concrete AI idea already?
No. We can start from your existing tasks and bottlenecks and work out suitable use cases from there.
Do we have to train our own model?
Not necessarily. Whether existing models, connecting your own knowledge sources or deeper customisation makes sense depends on the task and its requirements.
How do you handle confidential data?
Before any trial, we clarify which data may be used, who gets access and what kind of processing is acceptable. Requirements for providers, storage and operations shape the choice.
How do we know it’s worth it?
We agree concrete criteria up front – processing time, quality, or how often results need correcting. A pilot is measured against those and against the current process.
Can you build AI into our app?
Yes – consulting and app development go hand in hand. We first establish the value for users, then plan the interface, the integrations and how to deal with unreliable answers.
Next step
Which task would you like to make easier?
Tell us where you are, what you want to change and what constraints you’re working with. Together we’ll figure out a sensible way in.
Discuss your projectContact
Write to us. The people who build it reply.
A question about one of our apps, a project, or an idea that doesn’t fit any box – your message comes straight to us.
- kontakt@mojm.de
- Response time
- Usually within 24 hours
- Location
- Heiligenhaus, Mettmann district, near Düsseldorf, Germany
- Racqt support
- support@mojm.de