/ Practical AIFor your business, without the jargon

AI is not a
gimmick.
It's an efficiency lever.

We don't deploy AI for the sake of AI. We deploy it where it gives you time back: 2 hours of monitoring replaced by 5 minutes of reading. No all-knowing chatbot, no AI that decides for you — concrete agents that do the groundwork, while you keep the decision.

See use cases → Book a workshop
An agent?

An agent isn't a mysterious AI. It's a digital assistant that executes a complete task end-to-end — monitoring, sorting, preparing a first draft — then hands back to you for validation. You always decide what goes out.

/ Use cases

Before.
After.
Concrete.

Four use cases we've deployed in the last 18 months. Real situations, observed results.

SME 01 / 04

Monthly report generation

Before
3 people, Monday morning, 4 hours to consolidate sales/stock/support figures.
After
Report auto-generated Sunday at 11pm from the ERP. 20-minute human review Monday morning.
Major time saving 12 weeks to production
Lobby 02 / 04

Daily legislative summary

Before
1 full-time FTE reading the EU Official Journal and national gazette every morning.
After
Thematic summaries generated at 7am, sent to Slack, filed by dossier. FTE reassigned to advocacy.
Resource reassigned 10 weeks to production
SME 03 / 04

Automatic lead qualification

Before
Sales reps spending 1h/day sorting website enquiries.
After
Automatic scoring + enrichment. Hot leads go to the top, others receive a calibrated response.
Better qualified leads 6 weeks to production
Lobby 04 / 04

Personalised monitoring by dossier

Before
Generic Google Alerts drowning the team in noise.
After
AI monitoring by dossier (e.g. 'Packaging Directive'), targeted alerts, summaries contextualised to your position.
Noise reduction 8 weeks to production
/ And what about us?

We use AI ourselves.

Before deploying it for you, we integrated it into our own way of working. The result is concrete: we deliver more polished projects in the same timeframe. And since we use it every day, we know precisely what holds up in real conditions and what doesn't — we don't sell you a promise we haven't tested ourselves. The time we save doesn't go into our margin: it comes back into your project.

−40 %

less time on repetitive tasks

All the mechanical groundwork without added value — AI takes a large share of it. It proposes, we read, validate, and correct. The time recovered we spend on what really counts in your project.

×2

design iterations in the same timeframe

We test twice as many versions in the same time. The more we iterate before delivery, the more accurate the final result — without extending the timeline or the invoice.

+ ambition

at equal budget

Time saved funds a more solid product: more reliable, accessible to all, better documented. You get more for the same budget.

Our commitment

AI replaces neither our teams nor your review. Everything produced is read, tested and validated by a human. And your data and work are never used to train a third-party model.

/ How we proceed

From workshop to deployment.

Four clear steps, each with an exit door. At the end of each step, you decide whether to continue — no penalty.

Étape 01

Identification workshop

2 hours on-site. We map your repetitive tasks, identify 3 AI candidates and quantify the target ROI.

2 h · free
Étape 02

Technical scoping

Functional spec, model choice (self-hosted vs API), integration diagram. Fixed quote.

1–2 weeks
Étape 03

Prototype + measurement

First MVP in production on a subset. Real gain measurement over 4 weeks. Go/no-go criteria defined in advance.

4–8 weeks
Étape 04

Deployment & monitoring

Full production rollout. Monitoring of error rate, effective gain and user satisfaction. Quarterly review.

Ongoing

Practical AI is not a promise. It's a deliverable.

We start with a 2-hour workshop to identify your 3 highest-ROI use cases. Free, no commitment, on-site or by video.

Book a workshop →