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Four ways we hand-build AI around your work.

Bespoke assistants, knowledge bots, internal tools, and a handover that leaves you in control. The whole point: an assistant that sounds like your team and knows only what it should.

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Custom AI assistants

Hand-built assistants grounded in your own data, tone, and rules — to draft, answer, and act inside the work your team already does.

Grounded only on your knowledge — no open-web guessing
Tuned to your tone and rules
Connected to your CRM, docs, and tools
Live in 2 to 4 weeks, monitored after launch

Knowledge & support assistants

A first line that answers from your real documentation, refuses what it does not know, and hands off cleanly to a person when it should.

Answers from your own documentation
Polite refusal on out-of-scope questions
Clean escalation to a human
Surfaces: web widget, Slack, Teams, email

Internal tools

Small, sharp internal apps shaped around one team’s workflow — built to fit, not to make everyone learn another platform.

Internal data Q&A over your systems
Review and approval interfaces
Document extraction where needed
Fits your existing stack

Rollout & support

You should not need us to change a prompt. Every build ships with the keys, the documentation, and a month of close support.

A small admin surface your team controls
Monitoring and alerting from day one
On call for the first month after launch
Optional ongoing support if you want it
Departments we support

Where it shows up.

Sales & marketing

Bespoke sales assistants, enquiry handling, content drafting on your voice.

Support

Knowledge-grounded first line, ticket classification, escalation routing.

Operations

Internal data Q&A, document extraction, bespoke internal tools.

FAQ

Before you get in touch.

What does a typical engagement cost?
Most projects land between three and twelve thousand euros for build, plus a small monthly fee for hosting, monitoring, and minor changes. We give a fixed quote after the first call.
Why bespoke instead of an off-the-shelf tool?
Because a generic assistant answers generically. A build grounded in your own data, tone, and rules sounds like your team and stays inside what it actually knows — which is the whole point for a customer-facing or internal assistant.
Will it hallucinate at customers?
We constrain assistants to grounded knowledge, refuse out-of-scope questions politely, and route to a human when confidence drops. We test this before launch and monitor after.
What if we change the scope after kickoff?
The first week is intentionally cheap to back out of. After that, scope changes are quoted as small change orders, not billable hours.

Tell us what you would hand to an assistant.

A short note about the work is enough to see where a bespoke assistant fits and how fast it pays back.

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