From audit
to assets.
Four phases. You come in for the savings, you stay for the capital. Each phase justifies itself on its own — and sets up the next.
Our method
Four phases,
one progression.
We start by getting a clear view. We steer traffic to save quickly. Then we build capital, and de-escalate. Today's savings fund tomorrow's assets.
Audit
Starting pointMaking it visible who uses AI, for what, at what real cost — and which repetitive tasks are worth capitalising on. It's the least spectacular phase and the most profitable: it often pays foritself, through the leaks it uncovers (forgotten subscriptions, ungoverned usage, simple tasks sent to the most expensive model).
Gateway
In weeksUnifying the flows gradually, starting with the most costly ones. Each redirection produces its savings immediately — no need to wait until the end of the project to reap the rewards. The right model for each task, caching for what repeats, context reduced to the essentials.
Results visible in weeks:−60 to −80% off your billthrough routing alone, with no loss of quality.
Assets
In monthsHere we change register. It's no longer about cutting a bill, but about building an asset: the dataset of validated corrections, the knowledge base, the procedures. It's slower — capital is built over months, not weeks — but every month of accumulation widens a gap thatcannot be closed. A competitor starting today stays months behind.
De-escalation
OngoingThe steady state. We feed the corrections back in, we specialise a model on your data, we remove AI wherever a simple rule will do. The cost falls structurally, without restricting anything: fewer calls to frontier models, more tasks handled by what you've learnt to do in-house.
Cross-cutting
Training runs
through everything.
The technology is worth nothing if your teams don't know what to entrust it with. Training isn't a separate phase: it runs alongside each of the four.
We don't train people to click buttons — interfaces change every six months. We trainlasting reflexes: what to delegate to AI, how to specify it, how to assess what it returns. Reflexes that stay valid whatever the model of the moment.
And because the training is targeted by what the gateway reveals about real bottlenecks, it never speaks in a vacuum: we train on your cases, your friction points, your blind spots — not on generic examples.
What to delegate
Telling apart what gains from going through AI from what still calls for human judgement — and from what a simple rule does better.
How to specify
Framing a request that produces a usable result on the first go, rather than an endless back-and-forth.
How to assess
Reviewing, correcting, validating — and knowing that every validated correction feeds the assets of phase 3.
What people raise with us
The objections,
honestly.
Two reservations come up every time. They're legitimate. Here's what we make of them, without sugar-coating.
"Making usage visible — isn't that spying on the teams?"
The fear is real and it has to be met head-on, not brushed aside. Our answer comes down to one word: transparency. A system experienced as control gets bypassed; a system experienced as help gets adopted. We make things visible togovern and equip, not to rate people — and that intention is built with the teams, not against them. The day the tool saves time for the person who uses it, the question of surveillance disappears of its own accord.
"How long before it really pays off?"
Two horizons coexist, and they must be named clearly. Therouting convinces quickly: the drop in the bill shows in weeks, which is what makes the approach credible from the outset. The assets reward you in the medium term: they build over months, and that's where the lasting advantage is decided. We don't promise the second at the pace of the first — but the immediate savings patiently fund the building of the capital.
Frequently asked questions
The audit runs over a few days to a few weeks depending on the size of your organisation. The gateway produces its first savings in weeks. The AI assets, by contrast, build over months — a different pace, and a deliberate one. De-escalation is a steady state: it has no end point, it accompanies your usage over the long term.
The audit delivers the map of your AI usage. The gateway installs a single point through which all AI passes, with its immediate savings. The AI assets build a body of data and know-how that belongs to you. De-escalation keeps a cost curve that falls over time. Each phase has a deliverable that justifies itself on its own.
You come in for the savings: the gateway pays for itself many times over through the savings it generates, often from the very first redirections. The audit frequently pays for itself too, through the leaks it uncovers. The detail is set in the light of what the audit reveals — we don't commit you blind. See the four solutions.
No prior IT project. We start with the audit, which works from your existing usage — no need to have "tidied up" beforehand. The method is designed for organisations of 20 to 100 people. The remaining phases are triggered at your own pace, each once the previous one has settled.
Yes. Each phase justifies itself on its own and can stop without breaking the earlier ones: you can stay with the gateway and its savings. Above all, the data assets you build belong to you — the opposite of software you depend on: here, what you accumulate stays with you, even if you change tool or model.
It all starts
with the audit.
Together we look at who uses AI in your organisation, for what, at what cost. The rest is decided in the light of what the audit reveals. Designed for organisations of 20 to 100 people.
Your industry AI.
We build it together.
30 minutes to understand your business, identify the AI gains, and see whether we can build your vertical AI. No commitment.
Or directly:contact@vertaya.com· Sylvain Chastang · Livron-sur-Drôme (26)