AI implementation

AI implementation for SME companies

We design and ship AI solutions that genuinely streamline your processes - proven in production, with the LangChain ecosystem at the core.

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Illustration of AI implementation in a company

What you gain

Less manual work

Agents take over repetitive tasks so your team focuses on what needs a human.

A faster start

We start with a narrow proof of concept to confirm the value before you invest in a full rollout.

A solution you own

We build in your infrastructure and hand knowledge to your team - no lock-in to a single vendor.

Scope of the implementation

We run the implementation from analysis to production.

How we work

  1. 01

    A conversation

    We learn your processes and goals and point to where AI genuinely fits.

  2. 02

    Proof of concept

    We build a narrow prototype on your data and measure the effect.

  3. 03

    Rollout

    We grow the prototype into a production solution in your infrastructure.

  4. 04

    Support

    We monitor, upskill your team and evolve the solution with you.

Who it is for

For small and medium companies that want AI in real processes, not in a slide deck.

Frequently asked questions

How long does the first implementation take?

A proof of concept usually wraps up within a few weeks. A full rollout depends on the scope we set after a conversation.

Do we need our own AI specialists?

No. We run the implementation and hand knowledge to your team along the way.

What do you build on?

The core is the LangChain ecosystem (LangGraph, integrations, RAG). Models and tools are chosen for the use case - also beyond it when that makes sense.

Who owns the solution?

You do. We build in your infrastructure, and the code and knowledge stay in your company.

Let's talk about your implementation

Briefly describe your process or challenge. We will get back with a proposed first step.

Are you human?