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From workflow to a working solution.

We clarify requirements, validate value in your real workflow and implement the solution together with your team.

Four steps to a running solution.

  1. 01

    Analysis

    We analyse the workflow, available data and interfaces. Together, we define the problem to solve, how to measure value and what is included in the scope.

    Deliverable

    Prioritized roadmap

  2. 02

    Proof of value

    We test the approach with your data in the real workflow. We assess output quality, technical effort and limitations before deciding on further implementation.

    Deliverable

    Validated prototype

  3. 03

    Implementation

    We integrate the solution into your systems, test interfaces and failure cases, and set up monitoring. We then bring it into production together with your team.

    Deliverable

    Live solution

  4. 04

    Handover & improvement

    We document the architecture and operations and train your team to use and maintain the solution. We assess results against the agreed criteria and plan the next improvements.

    Deliverable

    Documented operations & trained team

AI, cloud & cybersecurity. Everything built as one.

We design AI, infrastructure and security as one architecture, aligning data flows, operations and safeguards from the start.

AI, cloud and cybersecurity interlock to form one integrated solution.AICloudCybersecurityModels & agentsInfrastructure & operationsAccess & data protectionYour solution

What guides our work together.

  1. Handle the urgent need first

    When a deadline is close, we separate the necessary solution from a larger rebuild. This keeps the next step predictable.

  2. Protect existing systems

    New components access data where that makes sense. We keep the running system and its established workflows as undisturbed as possible.

  3. Deliver work that can be checked

    We document assumptions and interfaces, test with real data, and hand over solutions that can be maintained and extended.

  4. Understand regulated work

    For sensitive processes, we focus on traceable results, audit trails and human oversight.

  5. Knowledge stays in-house

    We work with your team, not beside it. Whoever runs the solution later helped build it and can take it further without us.

  6. Modernize step by step

    After the immediate task, we develop a target architecture and migration plan. Useful components remain in place while older modules are replaced in stages.

What we work with

AI & agents

  • LLMs
  • RAG
  • Agent systems (LangGraph, MCP)
  • Fine-tuning

Cloud & operations

  • AWS
  • Azure
  • On-premises
  • Docker
  • Kubernetes
  • IaC (Terraform)
  • CI/CD
  • MLOps & monitoring

Integration

  • SAP
  • Microsoft 365
  • REST APIs

Governance

  • GDPR
  • EU AI Act
  • DORA
  • Auditability

Which process is costing you the most time right now?

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