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Case studies

Target: zero missed deadlines. The Golfe de Saint-Tropez secures its public contract monitoring with an AI agent

The AI Sisters Lab is building an AI agent for the Golfe de Saint-Tropez to monitor public contracts, on a sovereign cloud. Target: zero missed deadlines.

Published on
12/11/2026
Golfe de Saint-Tropez (AI Sisters Lab)Golfe de Saint-Tropez (AI Sisters Lab)
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The Communauté de Communes du Golfe de Saint-Tropez monitors the execution of its public contracts by hand, in its finance software and one Excel workbook per contract. Five checks rely on staff vigilance alone.

The AI Sisters Lab is building a five-part agent, hosted on a sovereign cloud. The client’s rule: security comes before efficiency. The POC started on 5 October 2026.

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Five checks that relied on staff vigilance

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Every public contract has its deadlines, advance payments, price revisions and invoices. All of it was tracked by hand, between the finance software and one Excel workbook per contract.

The brief for AI Sisters: make these checks reliable without ever letting the AI approve an invoice on its own.

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Spotting deadlines

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Each contract’s key dates were tracked by hand.

Computing revisions

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Looking up INSEE revision indices and computing advance recovery.

Re-entering clauses

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Data from the contract terms (CCAP) was re-entered by hand.

Matching invoices

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Invoices received on Chorus Pro had to be matched to their contracts.

What if it were you?

Does your authority track its contracts by hand?
We look together at which checks an agent can secure, without deciding for you.

Discuss my project

A five-part agent on a sovereign cloud

The agent is hosted on OVHcloud. It secures the authority staff’s work without deciding for them.

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01

Calculations done by code

Calculations run on deterministic code, never on the AI.

02

The AI reads and cites its sources

The AI extracts data from contract documents, citing its source, then writes the summaries.

03

No invoice approved automatically

A design choice: approval always stays with a staff member.

04

One tool for 12 municipalities

The agent is designed to be reused in each of the territory’s 12 municipalities.

Golfe de Saint-Tropez (AI Sisters Lab)
What if it were you?

Want to validate the idea before committing?
The Lab starts with a measured POC on your own files.

See the Lab offers

Where the project stands

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The POC was launched on 5 October 2026.

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Delivered and validated

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→ Project scoping

→ Hosting on OVHcloud

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In progress

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→ Agent parts 1 and 2

→ Demo on 13 November 2026

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Coming next

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→ Measurement report on 5 February 2027

→ Final demo on 12 February 2027

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The targets set with the Golfe de Saint-Tropez

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The project is ongoing: the figures below are targets, not results yet. They will be measured in February 2027.

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0

missed deadlines (target)

80%

of fields pre-filled correctly, at least (target)

0

invoices approved automatically

12

municipalities that can reuse the tool

What if it were you?

An AI agent connected to your tools?
We design it with your teams.

Got it. An AI Sisters expert will email you to plan your AI training.

Your email didn't go through. Check the address, or write to us at contact@aisisters.ai.

An expert will reply to scope your AI training, with no commitment.

Client
Communauté de Communes du Golfe de Saint-Tropez
Sector
Government Agencies
About the client

The Communauté de Communes du Golfe de Saint-Tropez brings together 12 municipalities, about 60,000 residents and 220 staff. It already uses an AI tool designed for local authorities.

Teams trained
Staff in charge of public contract monitoring
Format
AI Sisters Lab POC, running since 5 October 2026
Participants
Published on
12/11/2026
Train your teams in AI

A programme built around your roles and your tools, pre-audit included.

Got it. An AI Sisters expert will email you to plan your AI training.

Your email didn't go through. Check the address, or write to us at contact@aisisters.ai.

An expert will reply to scope your AI training, with no commitment.

They moved to AI with AI Sisters

“Great training and a very practical audit: we are already seeing tangible gains.”

Élodie Bassinet
Director of Strategic Marketing and Development, TV5MONDE
Read the case study →

“AI Sisters supported 150 Webedia employees with truly exceptional shows and workshops. Extremely hands-on, and the productivity gains are already very measurable.”

Michèle Benzeno
CEO, Webedia
Read the case study →

“Two brilliant training sessions with AI Sisters. Titouan was excellent: highly personalised, relaxed and accessible. The team demystified a subject that seemed so complex. Thank you!”

Pascale Luca
Deputy Managing Director, Les Échos Le Parisien Médias
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“It was really great: AI Sisters supported the entire IT department with immediate impact. I recommend them 100%.”

Eric Hahn
Head of Skills, JCDecaux
Read the case study →

“An unforgettable experience: dynamic, practical and directly useful day to day. The teams are still talking about it!”

Céline Trancart
Sales Director, Webedia
Read the case study →

“A very dynamic, practical day, perfectly suited to our challenges. The teams came away with tools and ideas to put into practice the very next day.”

CSR & Internal Communications Manager
Prisma Media Digital
Read the case study →
They got their teams to adopt AI: Accor, La Poste, Samsung, JCDecaux, Vinci, Engie, Ipsen, Havas, BPCE, CMA CGM, TV5Monde, Webedia, Google 4.9/5
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