2026: agents that run, not slides.

Repetitive work, handed to agents. Nothing goes out without human validation.

I design, code and put into production, myself, agents for what comes back every day in a company: customer requests, content and creative work, brand documents, checks, visibility inside AI answers. Twenty years of premium brands behind, a proof log in front.

Why this is credible

Twenty years leading premium brands in agencies: Cartier, Nespresso, Jaeger-LeCoultre, Clarins, L'Oréal, Hermès, LVMH, Coca-Cola, Heineken, SEB. Since 2019, systems built with my own hands and in service: Corsica Yacht Charter, Ilka Schumacher, GeoScope, ACT, eu-verify.

L'Oréal Groupe
Nespresso
Clarins
CeraVe
Cartier
Vichy
What blocks

In 2026, everyone has an AI idea. Almost no one has an agent that runs.

AI ideasAn agent that runs

Every week brings a new demo, a new tool, a new promise. Meanwhile, customer requests still wait for an answer, content is still made by hand, and nobody knows what AI assistants say about the brand.

The problem is not choosing a tool. It is getting something useful to run, safely, with someone accountable for what goes out.

A demo is not a production system.

An agent without human validation eventually sends something stupid to a customer.

AI on top of broken processes creates nothing clean.

A brand absent from AI answers gets replaced by a more visible one.

What an agent actually does

A working day, task by task.

Customer relations, a Tuesday
  • Sort the requests that came in overnight
  • Qualify a charter request
  • Call a loyal customer
  • Check availability
  • Send the reply and the quote
  • Decide on a goodwill gesture
  • Follow up on unanswered requests
  • Summarise the day for the team
Proof log

A job is a list of tasks.

Before talking about AI, I look at what your team really does in a day, whatever the job. Not the job title: the tasks, one by one.

Some tasks stay human.

Calling a loyal customer, deciding on a goodwill gesture, settling a delicate case. This is where your team makes the difference, and the agent stays out of it.

The agent prepares what repeats.

Sorting, qualifying, checking, drafting, summarising. The agent does the preparation work, at any hour, the same way every time.

Nothing goes out without human validation.

Everything that leaves the company passes in front of someone on your team. They reread, correct if needed, and they are the one who sends.

Every action leaves a trace.

What the agent prepared, who validated, what went out: everything is recorded in the proof log. It is what tells you whether the pilot delivers.

What I build

Four ways to work, one principle: it runs.

Diagnostic, then a ninety-day pilot

Eight days to read your real flows, customer requests, content, tools, data, and choose the automation that pays the most. Then an agent in production in ninety days, with the expected result written down before we start.

Fractional AI director

Three to four days a month, reporting to the owner: I build, I train the team, I hold the governance. Code and documentation stay with you.

AI studio in residence

For an agency or a marketing team in Paris: three days a week on site, one agent billable to a client within ninety days, then creatives and developers who can run it without me.

AI literacy workshops

Three days per marketing team to understand what an agent does, what it must never do, and how it is controlled. Useful for the AI Act training obligation.

What changes

What you hold after a pilot

An agent in production, not a demo

It handles a real flow: inbound requests, content, checks. Every action is logged, every exception reaches a person.

Human validation before anything is sent

Nothing goes to a customer, a website or a social network without a click from someone on your side. The draft is ready; the decision stays yours.

A proof log

What was read, chosen, written, validated, sent: timestamped, reviewable, defensible. You always know why the agent did what it did.

A team that can run it

Code and documentation with you, the team trained, a named technical relay for maintenance. You are not locked in with me.

Work

Systems in service, not promises.

Seven systems, seven different problems. For each one: the starting problem, what the agent does, and what proves it.

DEAL, for Corsica Yacht Charter

In service since May 2024

The problem
Charter requests arrive at any hour, by email, WhatsApp, Instagram and other channels, in several languages. Every reply means rereading, checking availability, choosing boats, writing, then updating the CRM. A slow reply is a customer gone elsewhere.
The answer
The agent qualifies each request, whatever the channel, checks availability, proposes boats and drafts the reply in the customer's language. It also runs the CRM: customer record, conversation history, follow-up on every request. The team rereads and sends.
The proof
Dashboard, preserved thread, full traceability. When in doubt, the agent does not improvise: it escalates.

CYC PDF, for Corsica Yacht Charter

Built for the client

The problem
Every brand PDF was assembled by hand, in French and in English, for screen and for print, with a layout drifting from one document to the next.
The answer
A brand PDF generator: the team enters its copy in both languages, picks a template, portrait or landscape, and gets a document with an exact layout.
The proof
The same copy always yields the same document, and the file comes out print-ready.

Ilka Schumacher's studio copilot

In service since February 2026

The problem
A painter wants to sell her work and exist in three languages, without spending her weeks writing posts, emails and gallery files.
The answer
A trilingual website and a copilot that prepares copy, pages, gallery outreach, emails, social posts and sale certificates.
The proof
Nothing is sent, published or sold without the artist's validation, from a dashboard in French and German.

ACT

My production tool, on all my projects

The problem
A project handed to an AI too often ends with "done", with nothing to prove it.
The answer
An AI project lead: from a request, it scopes, plans, has specialised agents produce the deliverables and checks every step.
The proof
Nothing is marked complete without verifiable proof, and every action is timestamped. ACT is how I scope and run all my projects, including Ilka's copilot.

GeoScope

Working, open to a closed panel of clients

The problem
When a customer asks an AI which provider to choose, your brand is cited, or it is not. And nobody in the company measures it.
The answer
GeoScope asks real customer questions to ChatGPT, Claude, Perplexity, Mistral and Gemini every day. It measures whether the brand appears, who appears instead and which sources the AIs cite, then produces the pages ready to be cited.
The proof
A jargon-free report, in French and English, with the month-by-month trend. The free flash scan is on doesmybrandexist.io.

eu-verify

Live, called and paid by third-party agents

The problem
An AI agent that has to check a European partner has no access to official registries, VAT or sanctions lists, unless a human does it for it.
The answer
A data shop for agents: company verification across European registries, VAT, IBAN, sanctions, public tenders. The agent pays per call, in USDC, with no account and no key.
The proof
Verified by a third party: Atinamos Assurance tested the IBAN validation with two paid calls, both matching its own calculation. The evidence is public. It covers the IBAN checksum, not the existence of the account.

Storyboard Director

Used by a small circle of creatives and art directors

The problem
In AI image creation, the render drifts from one iteration to the next, every tool has its own prompt format, and the art director juggles several interfaces.
The answer
A visual direction studio: the brief and the references, sorted by role, live in one place. Each shot is a structured card that an Anthropic model writes, optimises and judges. Corrections go to the card, never to the image.
The proof
References stay locked; every version, prompt and verdict is kept and comparable. Built for high-end imagery, in luxury and advertising.
Method

Diagnostic. Pilot. Production. Proof.

I do not turn a vague need into an 80-slide deck. I look at your real flows, pick an automation that pays, build it, put it into production with its guardrails, then we look at what changed.

  1. 1

    No-complacency diagnostic

    Your inbound requests, your content, your tools, your data. What can be automated cleanly, what must stay human, what is missing.

  2. 2

    One pilot, one number

    One automation, one scope, one expected result written down before we start. Ninety days.

  3. 3

    Build

    I code, I integrate your existing tools (e-mail, WhatsApp, website, payment, scheduling), I wire human validation and the proof log.

  4. 4

    Production

    The agent handles the real flow. You validate. Every action is logged. We fix against reality, not in meetings.

  5. 5

    Handoff

    Code and documentation with you, the team trained, a named technical relay. You can run it without me.

Why me

Because I build it myself.

  • No demo sold as a production system.

  • No magic AI on top of a broken process.

  • No agent that sends anything without human validation.

  • No deliverable without a proof log.

  • No jargon to disguise a weak decision.

Twenty years of premium brands taught me what a word costs. Seven years of coding taught me what an agent really does. You get both in the same person, and that is rare.

Who I am

Jean-Philippe Santarelli.

Jean-Philippe Santarelli

Founder of GreenEris. AI studio director: AI agents and automations in production for premium brands, across marketing, brand and customer experience.

Twenty years leading brands in agencies (Nespresso, Cartier, Jaeger-LeCoultre, LVMH, Coca-Cola, Heineken, SEB, Clarins, L'Oréal, Hermès) as art director, international account director, partner, then brand experience director.

Since 2019, I build what I used to recommend: an AI lead-management system for Corsica Yacht Charter, a painter's website and studio copilot, GeoScope, ACT, eu-verify, Storyboard Director, and AAOS, my own standard for governing agent organisations. Nothing ships without human validation and proof.

Based in Ajaccio. Available remotely, as a fractional AI director, or in residence three days a week in Paris.

View LinkedIn profile
Who for

For leaders who want it to run.

Owners of premium SMEs and mid-sized companies, yachting, hospitality, wine estates, cosmetics, prestige real estate, art, who receive requests, produce content and want an AI that works without putting the brand at risk. And agencies that sell AI to their clients and need someone who knows how to build it.

If you want a demo to reassure a board, this is the wrong brief. If you want an agent in production within ninety days, with its guardrails, we can move.

Direct questions

Before wasting time

Does the agent send things on its own?

No. It prepares, proposes and logs. Someone on your side validates. That is the rule for everything I build.

Do we need a technical team?

Not to start: I build and integrate your existing tools. Afterwards, code and documentation stay with you, and a technical relay is named in the contract.

What about our customer data?

It stays with you. Access is limited to what the agent needs to read, every read and every send is logged, and nothing is used to train anything.

Do I still do marketing consulting?

Yes, in the diagnostic: we choose what pays before coding. But I do not sell strategy without execution.

Do I build websites?

When the agent needs a place to work, yes. I do not sell a website, I put a system into production.

Remote or on site?

Remote by default, from Ajaccio. In residence three days a week in Paris for an agency or a team. On site for workshops.

Your turn

Which flow should you automate first?

Pick a flow, set three sliders. The answer is the one I would give you on the phone, only less polite.

The flow you have in mind
A few per monthDozens per day
Every case is uniqueAlways the same steps
No consequenceA lost customer
My take

Possible, to be checked in the diagnostic.

The potential is there, but the real flow needs a look: exact volume, tools in place, exceptions. That is what the diagnostic is for, and it may conclude this is not the right first topic.

Diagnostic

We look at your flows. We choose. We build.

If your customer requests wait, if your content is made by hand, if nobody knows what AI assistants say about your brand, the problem is fixable. Not with a demo. With an agent in production, validated by you, proven by its log.

Diagnostic