Use case

An assistant connected to your company's data

The difference between a useful chatbot and an annoying one is where it looks for the answer. Ours looks in your systems and your documentation — and when it can't find it, it says so and hands over to a person.

Sound familiar?

If two of these sentences get said in your company, this process is costing you money every week.

How we do it

  1. We connect it to your sources

    Your ERP, your customer base, your internal procedures. If the system is closed, we open it first.

  2. We give it boundaries

    It answers from what exists, nothing more. When it doesn't know, it says so and hands over with the context of the conversation.

  3. We measure it

    What gets asked, what it solves alone, what still reaches the team. That is what lets you improve it — or switch it off if it adds nothing.

What it changed at another company

Replies 4× faster

Retail · 40 people

In production · 3–5 weeks

Where we apply it

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Start tonight, without us.

Four short how-tos, with the full prompts. We road-test them on client work before publishing. Free, no sign-up.

All workshops

Your company already generates data. Make it generate margin.

Thirty minutes to identify the first process worth automating. You leave with an answer, whether you hire us or not.

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30 minutes · no commitment