AI consulting for businesses
The right AI.
In your environment.
Microsoft, OpenAI, Anthropic or locally operated models: we assess your options based on data, integrations, operations and costs.
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 projectA technical decision with clear reasons
We review existing systems, data locations and operating requirements. We also consider the tasks a model actually needs to solve. These criteria determine the architecture.
Cloud, private infrastructure and local models have different prerequisites. We make the trade-offs transparent and plan interfaces so that models and components remain interchangeable where this makes technical and economic sense.
What you receive
Comparison of optionsEvaluate suitable platforms and models against your tasks and constraints.
Architecture and connectionsDescribe data sources, access paths, integrations and operational responsibility.
Cost and operations overviewAssess licence, hosting and usage costs, along with maintenance and monitoring requirements.
Frequently asked questions
Does everything have to move to the cloud?
No. We assess cloud, private and local operating models to suit your requirements.
Do you always recommend Microsoft?
No. Your existing environment is one criterion. The task, data, integration needs and overall effort are what matter.
The next step
Where should your AI run?
Tell us about your idea or challenge. Together we work out what makes sense and how we can support you.
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