AI Agents & Automation

Assistants that genuinely help

We build AI assistants, knowledge bots and automations that are tested on your data – with source citations, an eye on data protection and an honest assessment of strengths and limits.

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What we build

From knowledge research to process automation – matched to your infrastructure.

  • Knowledge & document assistants (RAG)
  • Chatbots & voicebots (incl. Fonio)
  • Microsoft 365 Copilot & Copilot Studio
  • Power Automate & process automation
  • Local LLMs / on-prem for sensitive data

Responsibly implemented

Guardrails, source citations and transparency are part of it: chatbots are labelled as AI (EU AI Act), data flows are traceable, and sensitive data stays in-house where necessary.

First MVP, then operation

We start with a working MVP as a proof of value – with testing on real user questions and an honest recommendation on going into production.

Chatbot & Voicebot

Ready to integrate – responsibly and transparently

Chatbots, voicebots and knowledge bots can be added on this basis. They are disabled by default; no data is sent to third parties until you consciously start a function and consent.

Status: prepared · disabled by default

Chatbot / knowledge bot

Answers questions based on your content (RAG) – labelled as AI (EU AI Act).

  • Entered messages / questions
  • technical connection data if applicable
  • no processing without conscious start + consent
Status: prepared · disabled by default

Voicebot / Fonio

Phone/voice assistance for recurring matters – with a recording and AI notice.

  • Voice/audio data during the call
  • telephony/connection data if applicable
  • consent and notice before the call

Before activation we clarify data flows, data processing agreements, third-country questions and the EU AI Act labelling obligation (from 2 Aug 2026). Details in the integration concept.

Discuss bot integration Privacy notice →

Matching packages

How we can work together

Delivery On request

AI Use-Case Lab

Turn a good idea into a ready-to-build concept: data check, solution sketch, effort/value, go/no-go.

2–3 weeks
Enablement On request

Microsoft 365 Copilot Enablement

A structured, responsible Copilot rollout – from readiness and use cases to team enablement.

3–6 weeks
Delivery On request

AI Agent / Knowledge Bot MVP

A working assistant, tested on your data – with source citations, data protection and an honest evaluation.

4–8 weeks
Pilot → Production On request

AI Pilot Guidance

Closes the gap from pilot to production – hands-on, with success criteria and user enablement.

6–12 weeks

FAQ

Frequently asked questions

What about hallucinations?

We rely on RAG with source citations, guardrails and a quality test with real questions – and name the limits openly.

Does our data stay secure?

Data protection is part of the design. For sensitive data, local/on-prem options are possible; data flows are documented.

Want to try out an AI assistant?

We build an MVP on your data – as a robust proof of value.

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