FDE for Agentic AI

Forward-Deployed Engineering for Agentic AI

Our engineers embed in your business to design, build and run multi-agent systems that change how work gets done.

Most enterprises have run agentic AI pilots by now. Far fewer have moved them into daily operations. The model is rarely what holds them back. Legacy systems, unclear process ownership and missing guardrails slow them down, and so do business teams that never took part in the build.

Our forward-deployed engineers close that gap. They work inside your organization and your systems, next to the people who own the process. They design multi-agent systems around real workflows, build them on your data and platforms, and run them until they deliver measurable performance gains.

Forward-Deployed Engineering for your organization

Do you have agent pilots that never reached day-to-day operations? Does nobody own an agent once it goes live? Do legal, IT and the works council slow down each rollout? Then you need engineers who build agents where the work happens. Since 2012 we have delivered more than 3,500 data and AI projects for enterprises across DACH. We bring that experience into your teams, independent of any model provider.

Forward-deployed engineering for agentic AI offers numerous advantages:

  • Agents built around real workflows, together with the people who own them
  • A fast path from pilot to production with clear KPIs and ownership
  • Compliance with the EU AI Act, GDPR, DORA and works council requirements from the first sprint
  • Free choice of models and platforms, from OpenAI, Anthropic, Google and Mistral to open-weight models in your own infrastructure
  • Teams that can run and extend the systems after handover

Our Solutions

Design of agentic workflows

Our engineers shadow the work and identify the workflows where agents create the most value. They map decisions, tools, data and human-in-the-loop points. Your stakeholders get an agent topology and a business case they can decide on.

Build of multi-agent systems

Embedded in your teams, we build multi-agent systems on your data and platforms. That covers orchestration, tool integration via MCP and APIs, agent-to-agent communication, retrieval on enterprise knowledge and systematic evaluation.

Operation and scaling

We run your agents in production. We monitor and evaluate them continuously, keep cost and latency under control and handle incidents. Once a pattern works, we roll it out to further workflows and business units.

Governance and enablement

We build guardrails, audit trails and EU AI Act risk classification into the architecture. In parallel, we train your teams to take over the systems. If you prefer, we keep running them as a managed service.

We can act as your forward-deployed engineering partner in DACH

For Frontier AI Labs

We are embedding a pod trained on your models to turn your reference architectures into repeatable, compliant enterprise deployments.

Pods trained on your stack

Our engineers know your models, APIs, SDKs, agent frameworks and reference architectures. They deploy them at your enterprise customers in Germany, Austria and Switzerland.

Enterprise access in DACH

We have worked with DAX corporations, Hidden Champions and SMEs since 2012. Our German-speaking teams are on site at locations across the region.

Compliance as a deployment pattern

We translate the EU AI Act, GDPR, DORA and works council requirements into architectures your customers’ legal and IT teams can sign off.

From reference architecture to repeatable deployment

We package what works into blueprints and accelerators that scale across accounts, and we feed field learnings back to your product teams.

Our approach: The Agentic Mesh

Agentic Mesh is the architecture which connects the model and agents into company processes via an implementation methodology which works out what capabilities need to be built. This approach provides a repeatable framework and allows us to accelerate deployment.

Data & AI Strategy

A clear strategy is the precondition for moving from raw data through transformations and workflows to operational processes.

Cloud Infrastructure & Data

The foundation is and remains the data itself: how it is prepared and made available, whether it sits in a DWH, data lake, lakehouse or mesh platform.

Semantic & Governance

Numbers, data and facts are only as good as their context. Without a shared understanding there are no insights. We focus on secure, governed access to data within a unified ontology and a common understanding.

Agentic & Process

Agents are most useful when they can, and are allowed to, act directly in operational processes and systems. That requires clear rules for responsible AI: moderation and safety in how AI is used.

No-obligation consultation

How much control do you have today over your data, AI systems, and infrastructure? Together, we’ll create transparency and develop a pragmatic path toward greater control, resilience, and technological freedom.

Kontakt
12 years of experience from over 3,000 data and AI projects

Additional References

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