AI AGENT DEVELOPMENT

Custom AI agent development for the requests, quotes and reports your team still handles by hand.

We build agents that take over one specific task in your business, such as request triage, a quote draft, a document to read or a report to assemble, on top of the tools you already use. Every run is logged, and nothing ships without your approval.

HOW AN AGENT HANDLES A REQUEST
WHAT AGENTS TAKE OVER

The tasks that eat your team's time, taken over.

01

Request triage

An agent reads an incoming request and routes it to the right person, already understood.

02

Quoting drafts

An agent prepares a first draft of a quote from your price list and the request, ready for someone to check.

03

Document extraction

An agent reads a document (an invoice, an order, a report) and pulls out the fields you need, with no manual re-entry.

04

Reporting

An agent builds a report from your own data on a schedule, so no one assembles it by hand every week.

HOW THEY RUN

Any model provider, a model chosen per task, a human before anything ships.

Every agent we build can run on Claude, GPT, DeepSeek or any provider that fits the task, never locked to one vendor. Nothing reaches a customer or one of your systems without a human approval step, and every run is logged.

See how we build custom software
01The model is chosen per task, on whichever provider fits it.
02A human reviews before anything ships to a customer or a system.
03Every run is logged, visible to your team.
04The agent runs on infrastructure you choose.
PROOF

Agents we run ourselves, in production.

01

Agent John

Three agents turn a client's change request into a shipped update: a ticket, a code analysis, a human approval, then a production release.

02

Our own fleet, measured

Seven weeks of agent work measured in production, 73 merged pull requests, 34 minutes of agent work each, published with the raw data.

03

The project estimate chat

Our own conversational agent interviews a visitor about their project and produces a written spec and a budget range before a human reviews it.

METHOD

From scoping to an agent running in production.

1
ScopingWe map the exact requests the agent should handle, and where a human must stay in the loop.
2
Architecture and fixed quoteWhich model runs which task, where the agent reads and writes, price in writing.
3
Delivery and testingThe agent ships once its tests are green, and you validate its output as we go.
4
Security review and go-liveDependency and secret audit, deployment, active monitoring.
5
Ongoing changesYour requests go through the same review process; we host and maintain the agent.
WHAT YOU GET
The versioned source code, which you own
The agent running on infrastructure you choose
A log of every run, visible to your team
Technical documentation and an incident guide
FAQ

Custom AI agent development: your questions.

How is this different from custom software?

Custom software is the system of record: your ERP, CRM or back office. An agent is a worker inside or alongside that system, handling one task such as triage or reporting. We build both, and an agent project often plugs into software we already built for you.

How much does it cost?

Most agent projects follow the same pricing as our custom software: €15,000 to €40,000, fixed after a scoping call.

Which model does the agent run on?

Whichever model provider fits the task. Nothing is tied to a single vendor, and the choice can change per task.

What stops the agent from making a costly mistake?

A human approval step before anything ships or reaches a customer, and a log of every run your team can review.

Who hosts and maintains it?

We do, by default, on infrastructure you choose.

QUOTE · AI AGENT DEVELOPMENT

Describe the task you want an agent to take over.

We get back to you with an initial read on your request and a date for a scoping call.

I'm interested in