AI consulting for businesses
Multiple agents.
A clear framework.
We develop an architecture for multiple specialised agents, with coordinated task distribution, shared rules and traceable operations.
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 projectWhen individual assistants need to work together
Growing use cases need an overarching architecture. Specialist agents take on defined tasks; a coordinating layer distributes work and manages handovers.
Knowledge, tool access and governance are planned together. We use communication protocols such as A2A and tool connections through MCP where they fit the solution.
What you receive
Target architectureDescribe the tasks of coordination, specialist agents and data access.
Shared guardrailsPlan roles, approvals, logging and cost control across multiple agents.
Gradual expansionStart with a defined use case and expand the platform based on verified results.
Frequently asked questions
Do we need multiple agents straight away?
Not necessarily. We first check whether a single assistant or a clear workflow already solves the task effectively.
How do we keep track?
Through an inventory, defined responsibilities and jointly planned quality and operational metrics.
The next step
Should your agents work together?
Tell us about your idea or challenge. Together we work out what makes sense and how we can support you.
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