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Artificial Intelligence

AIsystemsbuiltforproductionenvironments.

We develop AI systems for document-intensive processes, operational teams, and security-sensitive internal workflows. Every system ships with defined approval gates, fully logged decision paths, and an integration architecture that fits within existing infrastructure.

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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 formats

Clear entry points. Defined objectives.

Every solution format starts with a fixed objective and real data. Before the first sprint begins, success criteria and evaluation parameters are documented in writing.

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 format 01

AI Document Workflow Assistant

6 – 10 weeks
AI Operations Assistant

Solution format 02

AI Operations Assistant

6 – 10 weeks
Secure Internal Automation

Solution format 03

Secure Internal Automation

8 – 12 weeks
AI Chatbot Integration

Solution format 04

AI Chatbot Integration

4 – 8 weeks

Orientation

What could this mean in practice?

Select a solution format and team size for an initial indication. These figures are indicative. Every process has different parameters; every conversation starts with your specific numbers.

1Which solution format fits best?

2How large is the affected team?

How we build

How an AI system gets built.

Every engagement begins with data and process analysis. Systems are built for production, with governance embedded in the architecture.

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 points, data formats, and flows are documented from the start.

02

Centralised orchestration of processing logic

Classification, retrieval, approval processes, and escalation paths run through a single control layer. Every decision is logged and auditable.

03

Outputs returned into operational systems

Results, tickets, reports, and follow-on actions are written back into the tools your teams use daily.

Selectivity

What we take on. What we pass on.

We select projects based on substantive fit. This discipline protects both parties and is the reason our engagements deliver what was agreed at the outset.

Well suited

  • 1High-volume document intake with recurring classification patterns: applications, forms, contracts, free text
  • 2Manual triage, routing, or data entry workflows that consume several hours of team capacity each day
  • 3Institutional knowledge held in manuals, reports, and operational documents that is difficult to access in daily work
  • 4Rules-based operational processes with defined exceptions, where structured outputs are preferable to open-ended interpretation
  • 5Teams with an existing documentation base, named stakeholders, and a clear improvement objective
  • 6Organisations where data protection and governance are architectural requirements established before the project begins

Less suited

  • Systems intended to make fully autonomous decisions in liability-relevant areas without any human approval step
  • Engagements with unresolved data access, no named accountable party, or an outcome that cannot be measured operationally
  • Purely conceptual studies with no pilot scope and no intention to move toward operational deployment
  • Processes that have not yet been defined or documented internally, as a technical solution requires a described process to build on
  • Scenarios where no concrete problem has been formulated, no risk tolerance defined, and no integration plan developed

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.

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?

Let’s build something reliable

Start a project

Office

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