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Artificial Intelligence

AIsystemsbuiltforproductionenvironments.

We develop AI systems for document-intensive processes and for operational areas where data access and decision accountability carry heightened sensitivity. A defined approval gate precedes every consequential action. Decision paths are logged without gaps, and the integration architecture is part of the specification.

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GDPR-compliantEU infrastructureProduction-readyHuman-in-the-loop

Results that are measurable from week one.

How a public-sector operations team eliminated 70% of manual document handling time.

60–80%Less manual effort in document processing
50–70%Faster access to operational knowledge

Solution packages

Every package starts from a clear objective.

Each package starts with a concrete objective and real data from your environment, and we agree the success criteria and the way we'll measure them together with you before the first sprint.

2 – 3 weeks

Start here

AI Opportunity Assessment

We analyse a real process, map the data and system landscape, and identify one to two substantiated AI approaches. The output is a technical roadmap with a pilot plan that serves as the basis for every subsequent decision.

What's included

  • Process and workflow analysis
  • Data and tooling landscape mapping
  • Risk and feasibility assessment
  • One to two prioritised use cases with rationale
  • Technical architecture concept
  • Pilot roadmap with milestones and success criteria

Best suited for

Organisations that want to assess their AI readiness before committing to a build, particularly where the right technical entry point is not yet clear.

Discuss this assessmentFull details
AI Document Workflow Assistant

Solution package 01

AI Document Workflow Assistant

6 – 10 weeks
AI Operations Assistant

Solution package 02

AI Operations Assistant

6 – 10 weeks
Secure Internal Automation

Solution package 03

Secure Internal Automation

8 – 12 weeks
AI Chatbot Integration

Solution package 04

AI Chatbot Integration

4 – 8 weeks

Common questions

What decision-makers ask before a project begins.

These topics belong in the architecture before a single line of code is written. We address them systematically during the analysis phase so they do not remain open questions during live operation.

Privacy

3 questions

All systems are designed to be GDPR-compliant from the outset. EU hosting and on-premise deployment are standard options, available without surcharge or special configuration. Data minimisation, retention periods, and deletion procedures are part of the technical specification of every system.

How we build

How an AI system gets built.

Every engagement begins with a data and process analysis. Implementation targets production readiness; governance is part of the architectural specification.

01

Data & Process Analysis

We map what data exists, which workflows generate bottlenecks, and where AI creates demonstrable value. This analysis precedes every architecture decision.

1 – 2 weeks
02

Architecture & Governance

We define the appropriate AI approach (RAG, classification, agent), establish approval gates, and specify system integration into your existing infrastructure. GDPR-compliant deployment options are part of the specification.

EU stack
03

Controlled Pilot

A pilot project with real data, named users, and a defined scope boundary. Approval gates for consequential actions are mandatory. Inputs, outputs, and decisions are fully logged throughout.

4 – 6 weeks
04

Production Handoff

Monitoring, feedback loops, and operations documentation are part of the delivery. Every go-live includes a handoff protocol and a technical briefing for your teams.

Production-ready

Governance

Governance as an architectural component.

The following properties are included in every system we develop. They are defined during the specification phase and form part of every acceptance protocol.

Deployment frame

EU hosting & on-prem

01 / 06

Hosting

EU or on-premise

Active

Data egress

Only with approval

Controlled

Tenant isolation

Architectural requirement

Mandatory

Deployment on EU infrastructure or within your own data centre. Data transfers to third-party clouds can be eliminated where privacy law requires it. Specified for regulated environments with high data sovereignty requirements.

System architecture - Connected through an orchestration layer.

Documents, API interfaces, internal systems, and conversation channels are processed through a shared AI layer that understands and applies the operational context of your organisation.

Inputs → orchestration
Approvals & routing → destination systems
01

Structured intake of all inputs

Documents, API interfaces, inboxes, and internal data sources are consolidated through a controlled intake layer. Access rights are defined before ingestion; formats and data flows are described in writing for every connection point.

02

Centralised orchestration of processing logic

Classification, retrieval, and approval processes are orchestrated through a single control layer. Escalation paths trigger automatically once confidence thresholds are not met. Every decision is logged and verifiable.

03

Outputs returned into operational systems

Outputs are written back into the tools your teams already use, such as ticketing, reporting, and case management systems. The AI layer does not require a separate user interface.

Typical scenarios

Where our solutions create the most impact.

Our AI solutions are most valuable in environments with high processing volumes, a documented knowledge base, and clear requirements for privacy and traceability.

High-volume document intake with recurring classification patterns: applications, forms, contracts, free text

Manual triage, routing, or data entry workflows that consume several hours of team capacity each day

Institutional knowledge held in manuals, reports, and operational documents that is difficult to access in daily work

Rules-based operational processes with defined exceptions, where structured outputs are preferable to open-ended interpretation

Teams with an existing documentation base, named stakeholders, and a clear improvement objective

Organisations where data protection and governance are architectural requirements established before the project begins

Prepare the first conversation

Find the right entry point.

Answer a few questions about your situation. We will match your inputs to the appropriate solution format and respond with a concrete proposal.

14%

What best describes your organization?

Where a structured engagement begins

Start a project

Office

  • Karlsbad
    Auf der Hub 38
    76307 Karlsbad, Germany
  • Remote
    Distributed team
    Available internationally