AI consulting for businesses
AI solutions.
With implementation.
We support businesses from the first decision through to agents and Copilot solutions in everyday work. Consulting, technical integration and governance work together throughout.
Copilot governance & platform architecture
Copilot governance for Linde: platform architecture, approval processes and a dashboard for agent inventory, usage and lifecycle.
View projectCopilot agent as a product in the Microsoft Store
Copilot agent in the Microsoft Copilot Store: Graph Search Connectors, Python data preparation, custom SharePoint search.
View projectData protection for Copilot use
DPIA for Microsoft 365 Copilot at a financial services provider: data flow analysis, risk assessment, measures and decision documents.
View projectTypes of solution
AI solutions
we implement.
Whether you call them artificial intelligence solutions or AI solutions: what matters is the task the solution takes on and the data it works with. We implement these six types.
Your starting point
Your next step
Where are you
with AI?
What you take away from working with us
A reasoned decisionPrioritised use cases and a realistic assessment of data, effort and risks.
A usable solutionA scoped pilot or an integrated application with tests and clear responsibilities.
An enabled teamKnowledge, documentation and training so the solution lives on in your business.
Strategy and data foundation
Agents, platform and oversight
From our work
Three cases.
No demo mode.
Custom search, licensed content in Copilot and tasks in a messenger: three different applications. Each case states what has already been built and what we are still developing.
Built for two companies
Find what is only available internally.
We built an AI search over SharePoint without Microsoft Copilot for two companies. The reason was the licence costs. A custom vector index, custom search and an agent make the approved content accessible. Existing access rights remain the boundary of the answer.
- SharePoint
- Custom vector index
- Search without Copilot
Commercially available
Make your own knowledge marketable.
For an international data provider, we built our first commercially available Copilot agent for the Microsoft Store. It brings licensed content directly into Word, Teams and Outlook. This includes Graph connectors, an ingestion pipeline in Python, a custom search vertical, deployment guides and enablement material.
- Graph connectors
- Python ingestion
- Custom search vertical
In development, as of September 2026
Tasks where your team writes.
We are building an agent in a messenger for a service provider with mobile teams. Tasks, follow-up questions and evidence are handled in the employees' language. The AI assigns voice messages and photographic evidence to the right case and forwards reports of defects. Dispatch and controlling teams get an overview.
- Messenger
- Multilingual
- Image analysis
From your idea
to an AI workflow.
Three example tasks show the path from the first question to everyday use. This is what an application in your company could look like.
Find knowledge
Where is that in our documents?
Approved documents → Access & rules → AI application → Your team reviews → Answer with sources
Your team receives a traceable answer from your company's own knowledge. Existing access rights determine which content is available.
- Relevant knowledge sources
- Test questions with supporting sources
- Connection to the working environment
- Knowledge base maintenance
Use agents
Can we have this enquiry prepared?
Enquiry & context → Access & rules → AI application → Your team reviews → Reviewed draft
An agent researches the context needed and prepares a draft. Your team reviews the result and decides on the next step.
- Clear task and boundaries
- Agent with verifiable answers
- Approval within the existing process
- Testing and ongoing adjustments
Ease process workloads
Do we really need to transfer this data every time?
Case & data → Access & rules → AI application → Your team reviews → Updated case
The workflow takes on a clearly defined step and prepares the handover to the business system. Exceptions and important changes remain with the people responsible.
- Clearly defined step
- Pilot with sample data
- Connection to the business system
- Monitoring and error handling
Project phases
Clarify the use case
Together, we review the task, available data and expected benefit. This gives us a clearly defined starting point.
Test a pilot
A clearly scoped pilot makes the idea testable. Together, we test the results against real tasks and agreed criteria.
Integrate into everyday work
We connect the application to existing systems. Access rights, approvals and responsibilities are part of the implementation.
Keep it running reliably
After the roll-out, quality and responsibilities remain visible. We maintain the application and adapt it to new tasks.
The next step
What do you want to achieve with AI?
Tell us about your idea or challenge. Together we work out what makes sense and how we can support you.
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