01
AI Audit
We map how your processes actually run, identify what is genuinely automatable, and hand back a roadmap of the agents to build — each one with the return you should expect from it.
EN.AI AUTOMATION AGENCY
Custom AI agents that remove repetitive work.
We design and deploy custom AI agents inside your existing systems, so your team stops repeating itself.
Free · 30 minutes · No commitment.
01
The problem
If this sounds familiar, it's a systems problem.
Most of the work that drains a growing business is not hard. It is repetitive, and it is being done by people who should be spending their time on something better.
- Someone on the team re-enters the same information into three different tools.
- The same client follow-ups get chased by hand — and the ones that slip through are the ones you lose.
- The same handful of questions get answered again and again, from scratch each time.
- Quotes and invoices are put together manually, one at a time.
- A lead goes cold because no one replied in time.
That is not a people problem. It is work software should be doing — and now it can.
02
What we do
Three services.
02
Custom AI agents
We redesign the process first — Lean, remove the steps that add nothing — then build the agents and integrate them into the systems you already run: CRM, ERP, email. No rip and replace.
03
AI training
We upskill the team to operate what we built, set the human-in-the-loop rules for every decision that carries risk, and measure adoption rather than assume it.
03
The gap
The gap is execution, not conviction.
Executives are not waiting to be convinced about AI. They are waiting for someone to build the thing.
58%
consider AI decisive for their company's survival within three to five years.
32%
actually use it today.
Source: Bpifrance Le Lab, L'IA dans les PME et ETI françaises, June 2025 — survey of 1,209 executives of small and mid-sized companies. The same survey finds that 57% have no AI strategy at all.
04
Proof
We run what we sell.
The systems we build for clients are the same ones running this agency. Not a demo environment — the operations we depend on every day.
In production
Client acquisition pipeline
Opportunities are sourced automatically, scored by an AI agent against our own criteria, and the first outreach is drafted and filed into the CRM before anyone opens a tab.
In production
Self-updating pipeline dashboard
Records are created, enriched and moved between stages by the agents rather than by someone remembering to do it. The pipeline view is accurate because nobody maintains it by hand.
In production
AI-assisted content production
Research, drafting and formatting run through an agent chain with a human approving every piece before it ships. The judgement stays ours; the mechanical work does not.
Want to see one of these systems running? I'll walk you through it on the call.
Book a 30-min AI diagnostic →
05
The method
Five steps, in this order.
The order is the method. Automating a process before redesigning it produces faster mess.
01
Audit
Map the processes, find the time sinks, quantify what a fix is worth.
02
Lean
Remove the steps that add no value, before a single line of automation is written.
03
Build
Build the agents for the redesigned process — not for the old one.
04
Integrate
Connect them to your CRM, ERP and email through official APIs, without stopping production.
05
Train & maintain
Hand the controls to your team, and keep the flows running as your tools change.
Why the order matters, measured: across 25,000 employees, the average time saved with AI chatbots was 2.8% of work hours. At a French SME that redesigned the process before automating, inbound support calls fell by roughly 30%. Sources: Humlum & Vestergaard, Large Language Models, Small Labor Market Effects, NBER Working Paper 33777, 2025 · Alfi Technologies, in Bpifrance Le Lab, L'IA dans les PME et ETI françaises, June 2025. The two figures measure different things — the point is that the second only appears where the process was reworked first.
06
How we work
Spec first, then code.
A written spec and a working demo before any full build.
You see the core flow actually running on your own case before you commit to the rest. If the demo does not convince you, you have lost nothing.
Fixed scope, fixed price, milestone-based.
No hourly billing, no open-ended engagement. You know what is being built, what it costs and when each part lands.
If it does not match the spec, the last milestone is free.
The specification is the contract. If the delivered system does not do what we wrote down together, you do not pay the final milestone.
You own what we build.
The systems run in your environment, on official APIs. Your data is never used to train public models, and there is no platform you cannot leave.
Book a 30-minute AI diagnostic.
Bring the process that costs your team the most time each week. We will tell you straight whether an agent is worth building for it — and what it would take.
Keita Karamo
Founder, Sagesses Modernes
Free · 30 minutes · No commitment.