AI Consulting

AI AgentsOrchestration and Harness Engineering.

We build AI agents that significantly accelerate labor-intensive processes such as customer service, case handling and internal knowledge work. Specialized agents, routers, skills and MCP servers are combined with a controllable harness for production operations.

  • Single- and multi-agent architectures with clear roles
  • Router systems, skills and MCP servers
  • Secure connections to tools, knowledge and permissions
  • Human-in-the-loop, monitoring and traceable decisions
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Orchestration beyond a single chatbot

A router identifies intent, context and risk, then delegates to the right specialist agent. Multi-agent frameworks assign planning, research, execution and quality checks to clear roles — especially effective in complex service and knowledge processes.

Harness engineering for control

The harness provides guardrails for planning, delegation, reflection, verification and escalation. Deterministic workflows secure fixed process steps; agentic decisions are used where context and variability create real value.

Context engineering, tools and skills

We design prompts, structured outputs, memory, knowledge sources and permissions as one coherent context. Reusable skills encapsulate capabilities; MCP servers connect data and tools from ERP, CRM, ticketing or Microsoft 365 through a standard interface.

Interfaces and human approvals

Employees and service teams get a clear interface for results, questions, sources and approvals. Critical actions are escalated, write access is confirmed and every run is logged for monitoring, evaluation and continuous improvement.

The SURE(L)LM project team from Munich University of Applied Sciences and MAKONIS

Research project

SURE(L)LM

Together with Munich University of Applied Sciences, we research the secure orchestration of language models. Governance, intelligent routing and the protection of sensitive data become integral parts of the agent harness.

Häufige Fragen

Answers to the questions we are asked most often about AI Agents.

A chatbot primarily responds to input. An AI agent can break a goal into steps, use appropriate tools, verify information and perform actions in connected systems — within defined boundaries.

Innovation from Munich.Active worldwide.

Talk to us about your cloud, DevOps and AI initiatives — no obligation, directly with our engineers.