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AI Agents & LLM Systems

AI agent development that takes real work off your team

Our AI agent development turns repetitive office work into a system that runs by itself. Agents read emails and documents, look up your data, decide what to do next and act inside your tools, with a human approval step wherever it matters.

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01AI Agents & LLM Systems

What an AI agent changes in your business

  • Hours back every week

    Agents handle research, data entry, follow-ups and reporting, so your team spends its time on clients and decisions.

  • Decisions with context

    Each agent reads your documents, CRM and inbox before it acts, so answers are based on your facts, not guesses.

  • Multi-agent teams

    A researcher, a writer and a checker can work together on one task, each specialised and each logged.

  • Human in the loop

    You approve emails, payments or changes before they go out. Nothing important happens without your OK.

  • Every step is traceable

    A clear log shows what the agent read, decided and did, so you can audit and improve it.

  • Private when it must be

    Sensitive data can stay on your own server with local open-source models instead of a public cloud.

What's included

  • Workshop to pick the task with the best return
  • Agent design: tools, data sources, rules and approvals
  • Integrations with email, CRM, spreadsheets or your database
  • LLM set-up with fallback (Groq, Gemini or a local model)
  • Activity log and simple admin view
  • Testing on your real cases before launch
  • Handover video and one month of tuning

03AI Agents & LLM Systems

How it works

  1. 1

    Find the task

    In a free call we map your weekly routine and pick the task where an agent pays off fastest.

  2. 2

    Design the agent

    We define what it reads, what it may do alone and where it needs your approval.

  3. 3

    Build and test

    A working prototype runs on your real examples within 2–3 weeks. You see every decision.

  4. 4

    Launch and improve

    We go live, watch the logs together and tune the agent as your team uses it.

Frequently asked questions

05answers

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01What is an AI agent, compared with a chatbot?

A chatbot answers questions. An AI agent also takes actions: it can read a document, update your CRM, draft an email or file a report, following rules you define. Many of our projects combine both.

02Is my data safe with an AI agent?

Yes. We follow the Swiss nDSG and the EU GDPR, connect only the data the task needs and log every action. When data must not leave your company, the agent runs on a local open-source model on your own server.

03Which tasks are good for a first AI agent?

Tasks that repeat every week and follow clear rules: sorting incoming emails, qualifying leads, preparing quotes, summarising documents, updating spreadsheets or chasing missing information.

04How much does AI agent development cost?

A single-task agent prototype starts at CHF 1,490. Multi-agent systems connected to several tools get a tailored proposal after a free 30-minute call.

05Do I need technical knowledge to use it?

No. You use the agent through tools you already know, such as email, a chat window or a simple dashboard. We handle the technical side and train your team.

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