Practice 02 · AI development
The software you are missing, delivered in weeks.
Assistants that answer from your documents, agents that process your cases, AI embedded in the tools you already use — and the custom development that AI lets us deliver at lead times and costs software vendors do not offer.
Code delivered and documented · you own it
- Document assistantSourced answers on your proceduresLive
- Follow-up agentQuotes and invoices chased automaticallyLive
- Custom client portalCase tracking, documents, messagesIn progress
- Website rebuild and CMSAssisted content, independent publishingScheduled
Four typical deliverables
- Chatbots and RAG assistants
An assistant that answers from your documents, procedures and data, always citing the source of its answer — customer support, internal assistant, lead qualification.
Every answer carries its source - Autonomous agents
Agents that carry a task end to end: market monitoring, prospecting, email triage, reporting. They read, decide, act inside your tools and report back.
Straightforward cases handle themselves - AI inside your existing tools
We put the models where your teams already work — ERP, CRM, intranet, back office — rather than adding one more interface to open every morning.
No habits to change - Accelerated custom development
Management dashboards, production tracking, accounting tools, client applications, website rebuilds: AI inside our production loop lets us deliver bespoke software where only an ill-fitting package used to be affordable.
First delivery in 4 to 6 weeks
Our method · in three stages
Scoping and mockups
We write the specification with your teams and validate clickable mockups before the first line of code. Nothing starts without that document.
Weeks 1 to 2
Incremental development
Deliveries every two weeks, tested against your real data. You watch the project advance and correct along the way, not at final acceptance.
Weeks 3 to 8
Go-live and maintenance
Acceptance testing, migration of your existing data, user training, then flat-rate maintenance and evolutions.
From week 9
- Sectors
Construction and trades
Quotes dictated on site, schedules that reshuffle themselves, invoice chasing: the least equipped market, and the one where gains show fastest.
View the sector → - Sectors
Real estate
Listings written from the mandate, leads qualified before the callback, viewing reports dictated, lettings admin lightened.
View the sector → - Sectors
Retail and grocery
Order forecasting, consolidated multi-store reporting, supplier document processing, shared customer support.
View the sector →
- Business
Automation
We remove repetitive work: workflows between your tools, document processing, follow-ups. Your teams go back to what matters.
View the practice → - Business
Data and knowledge
Your documents and spreadsheets become a resource you can question in plain language, and your indicators arrive already commented.
View the practice → - Business
Training and adoption
A one-day AI workshop, role-based paths tracked from your company accounts, and the support that makes the habit stick.
View the practice →
What people ask us before we start
- Who owns the code you write?
- You do. Source code, data schemas and documentation are handed over and hosted wherever you decide. We impose neither a licence nor a subscription for you to keep using what we built.
- Why are your lead times shorter than a traditional agency's?
- Because AI sits inside our production chain: code, tests and documentation generation, data migration, admin screens. Scoping, architecture decisions and review stay human — that is where quality is decided, and we do not touch it.
- Can an AI assistant invent an answer to a customer?
- A RAG assistant answers from your documents and cites the source it used; when no source covers the question, it says so and hands over to a human rather than filling the gap. That is an acceptance criterion: we test it on your real questions before go-live.
Quote after scoping · no commitment
Let's talk about the tool you are missing.
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