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AI built around your business, not the other way round.

We build AI that works inside your existing systems and on your own data, running on your servers or EU hosting. Here are three examples of what that looks like in practice.

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Three example solutions

Realistic examples of typical companies we build for. The numbers show what to expect, not results from a specific client.

Example 1

A private knowledge assistant for an accounting firm

60 people. Thousands of client contracts, engagement letters, internal procedures and tax notes, spread over shared drives and email.

Build time: 3 to 6 weeksRuns on: the firm's own server, offline-capableTypical investment: €9,500 to €20,000

The problem

Staff spend a large part of their day searching: "What did we agree with this client?", "Which procedure applies here?" Client files may never go to public AI tools, so nobody uses AI at all.

What we build

A private assistant that has read every document the firm allows it to. Staff ask in plain language and get an answer with links to the exact source page. Access follows existing permissions, so people only see what they're allowed to see.

Shared drives and email→Private search index→AI on the firm's server→Answer with sources

What changes

Secondsinstead of 20 minutes of searching
100%of client data stays in-house
Consistentanswers, with the source shown every time
Example 2

Ask-your-data reporting for a wholesale distributor

120 people. Orders in the ERP, customer contacts in the CRM, and a weekly sales report built by hand in spreadsheets.

Build time: about 4 weeksRuns on: EU hosting connected to the ERP and CRMTypical investment: €7,500 to €15,000

The problem

Every question goes to one analyst, and answers take days. Sales and finance work from different numbers, so meetings start with arguing about whose figure is right.

What we build

First one source of truth: ERP and CRM data joined into one model with one definition per figure. On top of that, an assistant answers questions like "Which customers ordered less this quarter, and why?" in plain language, and shows how it calculated the answer. Every Monday it sends a short summary of what changed.

ERP+CRM→One source of truth→Ask in plain language→Weekly AI summary

What changes

Minutesinstead of days for a new analysis
One numberin every report and meeting
Early warningwhen customers start ordering less
Example 3

A smart inbox for a customer service team

8 service staff handling a few hundred emails a day about orders, deliveries, invoices and returns.

Build time: 3 to 5 weeksRuns on: private AI connected to the mailbox and order systemTypical investment: €9,000 to €18,000

The problem

Most emails are variations of the same few questions. Answering means looking things up in several systems, and every colleague phrases it slightly differently.

What we build

Every incoming email is sorted by topic and urgency. The assistant looks up the order, checks your policies, and prepares a reply in your company's tone. Your team reviews, edits if needed, and sends. Nothing goes out without a person approving it.

Incoming email→Sorted by topic→Order and policy lookup→Draft reply→Checked and sent

What changes

Fasterfirst replies to customers
Consistentanswers from your own policies
More timefor the cases that really need a person

What else we build

One source of truth

Data from all your systems joined into one trusted model, so every report agrees.

Automation and AI agents

Repetitive steps between systems handled automatically, with a person approving where it matters.

Bespoke business tools

Planners, client portals and approval flows built for how you work, replacing licences that don't fit.

Local AI setup

AI models running on your own hardware or EU hosting, for teams that need data to stay in-house.

How we build

  1. Week 1

    Agree on the goal

    One clear problem, how we'll measure success, and which data may be used.

  2. Weeks 2 and 3

    First working version on your data

    Not a mock-up: a first version your team can try on real (or anonymised) data.

  3. Weeks 3 to 5

    Test with the people who'll use it

    Real questions from real users, accuracy checked, then adjusted until it works the way they work.

  4. Launch

    Go live and hand over

    Training, documentation and full ownership. Measured against the baseline from week 1.

Let's talk about your plans.

A free 30-minute call. You'll leave with at least one idea you can use, whether you work with us or not.

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