+33 (0)1 87 66 00 65 · Monday to Friday, 9am–6pm Free audit (15 min)
An orchestration agent, scoped with you before it is priced. This agent coordinates several specialised agents. Its orchestration follows your actual workflows — which is why it is scoped with you rather than bought off the shelf. We establish the scope together, then the quotation commits it. The journeys described below form the scope that this review refines and the quotation commits. The specialised agents it coordinates can be ordered today. Request a quote
● Public sector — Agricultural social security caseworker

AI agent for the caseworker in agricultural social protection

An assistant that pre-assesses the files of the single agricultural desk (health, family, pensions, contributions) and prepares the replies to members — the caseworker decides on every entitlement. Hosted in France on a resource isolated for each organisation, with an HDS option for health data: nothing leaves the European Union.

Hosted in France Members' data protected GDPR & AI Act: governed deployment, HDS option The caseworker decides on every entitlement

Updated on

Deployed in a few weeks
Agricultural social security assistant · hosted in France
Pre-assess the family benefits claim from this farmer who has just registered a birth.
File pre-assessed. Membership of the agricultural scheme verified, household composition updated with the birth certificate supplied, reference income gathered. Document missing: bank details in the household's name — request prepared.
Complete file passed on for decision: opening the entitlement stays yours.
⛓ Source · the member's file + the documents filed
Prepare the reply to this livestock farmer asking to spread their contributions after a difficult year.
Draft letter ready: acknowledgement of the request, a reminder of the supporting documents expected (the year's accounts), and a presentation of the instalment scheme — with no commitment as to the outcome, which is your decision.
For review, completion and signature.
✎ Action · letter ready for review — the caseworker approves
Local inference · no data outside the EU
Data hosted in France
Sovereign by designHosting in France, HDS option
GDPR & AI Act: governed deploymentTraceability & human oversight
TurnkeyDesigned, installed and operated for you
The caseworker decidesNo entitlement is opened automatically
✦ In brief

At the agricultural social security fund, a Blue Lemon Agent agent assists the caseworkers of the single agricultural desk with the repetitive tasks — pre-assessment of multi-branch files (health, family, pensions, contributions), checking documents, letters and notifications to farmers and agricultural employees, answers to everyday questions. It is hosted in France on a resource dedicated to and isolated for each organisation, with an HDS option for health data, architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity. No entitlement is opened automatically: every decision remains that of the caseworker concerned. Live within a few weeks. Your public-sector staff write to it from Microsoft Teams, Slack or their email, and your members reach it on WhatsApp Business, the website chat or email — with no account to create and nothing to install. Reaching the administration from the tool people already have means less non-take-up of rights and equal access to the service. These connections are included in every plan, at no extra cost, within the number of connections your level includes.

100%
hosted in France in the target architecture
0
transfer outside the EU in the target architecture
7
uses ready to deploy on this scope
0
decision taken without human approval

Reference points describing our offer, not results measured at a client. The scale of the gain is confirmed by a pilot on your own scope.

The context

Why AI matters to the agricultural fund — and why it demands guarantees

As the single desk for the farming world, the fund handles health, family, pensions and contributions at once: multi-branch files, numerous documents, members waiting for answers. The data handled mixes social circumstances, income — and sometimes health.

! The issue

The caseworker is caught between members — farmers and agricultural employees — who expect quick decisions and multi-branch files whose pre-assessment is time-consuming: documents, memberships, income, consistency between branches. Yet most consumer AI tools amount to entrusting social circumstances, farm income and health data to a third party, often hosted outside Europe and subject to the Cloud Act.

Our answer

For a social protection body, AI is only of interest if it is sovereign and confidential by design. Hosting in France on a resource isolated for each organisation, an HDS option for health processing, systematic human oversight: the AI agent prepares the files of the different branches consistently, but every entitlement opened remains the decision of the caseworker concerned. The aim is not to replace the caseworker, but to give them back time for supporting members.

The decisive point

Protecting members' data: sovereignty & compliance

An agricultural social security fund handles social, financial and health data. Here is how the architecture of our agents protects it, organisation by organisation.

Local inference

The agent can run on a machine at the fund: no data leaves the network, nothing passes through a cloud.

Hosting in France

Otherwise, a dedicated and isolated resource, hosted in France under French law — members' data: processing and access within the European Union targeted by the architecture.

Reduced extraterritorial exposure

Members' data: architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity.

HDS option for health

The health-data hosting level the sector requires, for the health branch's processing.

Encryption & controlled access

Encryption in transit and at rest, role-based access (RBAC), strong authentication and logging.

AI Act: governed deployment

The agent is strictly in support; no entitlement is opened automatically; traceability and human oversight from end to end.

What depends on the architecture chosen These points are not general guarantees: they are settled deployment by deployment, in the quotation.

  • The applicable location is that of the architecture set out in the quotation and verified before commissioning.
  • Local execution is announced only for the configuration explicitly described and accepted in the quotation.
  • The applicable isolation depends on the deployment mode set out in the quotation; no dedicated isolation is presumed.
  • The encryption mechanisms in transit and at rest, their components and key management are those documented for the architecture chosen.
  • Roles and permissions are configured and accepted for the identities and systems actually connected.
  • The events logged, their content, their retention period and who may access them are defined for the deployment chosen.
For the health branch's health data, HDS hosting (the French certification for health data hosts); a SecNumCloud option according to how demanding your requirements are. A single architecture is designed to answer both the GDPR and extraterritorial exposure. Designed for deployment in line with the GDPR and the AI Act, after the processing, roles and context-specific risks have been assessed.
Demonstration

See the agent at work

5 real situations, taken from those that come up most often. Pick one: the exchange unfolds as it would in your organisation.

A scripted demonstration. These exchanges show how the agent behaves — its sources, its refusals, what it leaves to your teams. Nothing is sent from this page, no model is queried here, and the matters named are fictional. That is precisely what we promise your data.
The behaviours shown here — monitoring, automation rules, routing and reminders — are configured with you during deployment, from your tools, your rules and your thresholds.
The architecture points named in these exchanges — location, local execution, isolation, encryption, role-based access, logging — are not a guarantee attached to the demonstration: they are those of the architecture set out in your quotation, and verified before commissioning.

The public body in this demonstration

Fictional public body

Val-de-Sarne agricultural social protection fund — county single desk

Sector
Agricultural social protection through a single desk — health, family, pensions and contributions for farmers and farm employees alike, plus social action
Headcount
140 staff — including 46 single-desk caseworkers across the four branches, 14 on the telephone service, 6 social workers, and a separate medical service, alone authorised on medical material
Public served
38,500 members — 12,400 farm owners, 21,300 farm employees and 4,800 pensioners, across 640 villages, 41 of which have no reliable mobile coverage
Order of magnitude
26,000 files handled a year across all branches, including 1,200 multi-branch files, 74,000 documents received, 20,000 letters to members and 112,000 enquiries: 82,000 calls, 20,000 e-mails, 10,000 messages in the online account
Tools in place
Four management systems, one per branch, an online account for members, the telephone platform and 8 years of filed documents — the agent plugs into them read-only, nothing is replaced and nothing is migrated
Who decides
The caseworker opens the entitlement and signs the notification; the medical service alone accesses medical material and issues its opinion; the head of service approves contribution instalment plans; the social action committee awards grants
Points for improvement
One file in five was waiting for a document the member had already filed in another branch; a multi-branch file passed through four caseworkers and three systems over 31 days; 34 % of calls rang unanswered at due-date peaks; and 780 members met the conditions for a benefit they had never claimed

At Val-de-Sarne, the single desk is a promise half kept: the member has one point of contact, but their documents live in four systems that do not talk to each other, and it is the member who pays the difference in re-requested documents and weeks of waiting. The agent is hosted in France on an isolated resource, under the hosting requirements that apply to health data, reads the eight years of files without ever writing to them, and releases nothing without a caseworker's approval. The exchanges below cover a year, from taking stock of the documents to the review presented to the board.

This public body, its figures and the exchanges that follow were invented for the demonstration. They illustrate a common situation; they describe no real service.

Agricultural social security assistant · hosted in France
I reread your eight years of files over the weekend — 26,000 files a year, 74,000 documents received, four branch systems — and I have drawn out a figure your single desk pays without seeing it.
The gap measured, and it decides everything else: one file in five — 5,200 a year — was waiting for a document the member had already filed in another branch. A tax assessment given to the family branch in February was asked for again by the contributions branch in June; bank details provided at retirement were asked for again for a family benefit.
The cause, measured and not assumed: your four branch systems do not talk to each other. The desk is single for the member, it is not single for the document — and nobody has ever had the time to check, branch by branch, whether the document being asked for was already sleeping in another file.
What it costs the member, and this is where it shows: every re-requested document adds 14 days to the file — the letter, the trip to the village, the return post. Across 5,200 files a year, that is 5,200 farmers or farm employees whom the fund asked twice for the same thing.
What I have already done, and this is not a promise: I have built the index of documents per member, across all branches, and run it over the last twelve months. It would have avoided 5,200 document requests out of 9,400, and brought the average delay of a file awaiting a document from 21 days to 7.
The next step I propose, and it takes one meeting: you approve the list of the ten most re-requested documents — tax assessment, bank details, birth certificate, school certificate, proof of address and five others. They stop being asked for again from the moment you approve, and next year's 5,200 letters will simply not exist. documents-already-filed_5200-requests-avoided.pdf1 file in 5, 14 days of waiting per re-requested document
⛓ Sourced · 8 years of files, 74,000 documents received, logs of the four branch systems, index tested over 12 months
Circulating documents between branches is exactly what our data protection officer forbids. There are medical certificates in there.
She is right, and nothing circulates: I know that a document exists and in which branch, without its content crossing the partition. That is what makes the service possible, and it can be checked with one command.
The partition, here, is the strict separation of access between the branches and the medical service: each officer sees what their job requires, and nothing else.
What the index carries, document by document: the nature of the document, the filing date, the branch holding it and its validity date. It carries neither the content, nor the amount, nor a single item of health data. A family caseworker learns that a tax assessment less than a year old exists; they do not see the income on it until their branch is entitled to.
Medical material is not in the index at all:
· The 9,100 medical documents received this year are hosted on the resource dedicated to health data, separate from the rest, and the medical service is alone in accessing it.
· Over the year, the log shows 0 consultation of a medical item outside the medical serviceand the log can be inspected by your data protection officer whenever she decides, without telling us.
· What the caseworker sees of a medical file is what the medical service has decided to pass on: an opinion, a date, a duration — never a document.
And the rest of the architecture, since the board will ask: a dedicated, isolated resource hosted in France, under French law, architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity; no pooling with another fund; encryption in transit and at rest; a read-only technical account, with no write permission on your systems; and no member data trains any model.
The figure that sums this up: 0 member record out of the fund across the 112,000 enquiries of the year, and processing in the EU targeted.
The next step I propose: that I keep up to date the record your data protection officer asks for every year — hosting, data processed per branch, retention periods, who has access to what, and the special place of health material. The first version is written and you have it in front of you; she will no longer spend three days reconstructing it. technical-framework_partitioning-and-health-data.pdfIndex without content, 0 medical access outside the medical service
✎ Framework · deployment architecture, hosting requirements for health data, role-based access log
Granted. It remains that half the documents we receive are unreadable or incomplete, and it is my caseworkers who sort them.
74,000 documents received this year, 68,200 checked and filed on their own in the right file — 92 %. The remaining 5,800 reach you with the exact reason, not in a pile.
What I check on each document, before a caseworker opens it: that it matches the document requested, that it is complete — all four pages of a tax assessment, not the first alone —, that it is still valid, and that it carries the right member. A crooked scan, a photo taken in a farmyard or a submission with no reference change nothing: I read the content, not the layout.
The 5,800 that do not pass, and what I have already done with them:
· 3,900 are incomplete or out of date. The follow-up letter is written, it names precisely what is missing and it attaches an example of the document expected. That is what halves second submissions: a member does not send the wrong document out of ill will, he sends it because he was asked for “supporting evidence”.
· 1,400 carry an incomplete reference. I attached 1,260 of them by cross-checking name, holding and date, and they reach you with the two candidate files side by side.
· 500 are medical documents sent to the wrong service: they go straight to the medical service without anyone else opening them, and the member gets the acknowledgement saying so.
The time this shifts: a letter requesting documents from a member goes from 40 % to 10 % of the task's time — from 10 minutes to 2 minutes 30. Across 20,000 letters a year, that is 2,500 caseworker hours given back to the handling itself.
The next step I propose: an acknowledgement of every document, within the hour, saying what it is, what it completes and what is still missing. Over a one-month trial, “did you get my papers?” calls fell from 610 to 74it is your platform's leading reason for calling, and it disappears on its own. document-checks_74000-received-68200-filed.pdf92 % filed on their own, 1,260 attached out of 1,400
⛓ Sourced · 74,000 documents received over 12 months, member files, log of second submissions and follow-up calls
Local inference · no data outside the EU

Your case is not here? That is exactly what a 15-minute conversation is for. Book the free audit

Use cases

The uses of AI at the single agricultural desk

Each use corresponds to an agent we deploy. All work in support, subject to the caseworker's approval.

Included in your agent The 5 capabilities essential to this promise are included, at no extra cost.

Multi-branch pre-assessment

Pre-assess health, family, pension and contribution claims consistently, file by file.

Checking supporting documents

Gather and check the documents in a file; detect missing or inconsistent documents and prepare the requests.

Letters & notifications to members

Prepare the letters to farmers and agricultural employees from your templates, for approval before sending.

Answers to everyday questions

Inform members about their procedures and the progress of their files, 24/7, and direct them to the right person.

Flagging inconsistencies

Spot discrepancies between documents and declarations and flag them for a human check — never an automatic decision.

Controls and safeguards These 7 controls are built into the agent: they frame what it does, whatever plan you pick. They are not chosen and are not added to your order.
Human validation, exceptions and escalation Status, safe closure and audit trail Sources, access rights and handling of questions with no answer Prepare without deciding: sourced rules, supporting documents, anomalies and explanation Guarantee the decision, signature, recourse and responsibility of the public official Record versions, access, criteria, actions and notifications Test for bias, false positives, fundamental rights and continuity of service
Other needs our agents cover Each card says where the matching agent stands: available, on quote, or still being architected.

Accessibility and inclusion

To produce a plain-language version, prepare an easy-read transcript to the FALC method, translate or voice your content, this agent can be paired with the Accessibility and inclusion agent. None of these capabilities is included in what this offer covers as standard.

On quote View the agent page
The gain

How much time can an agricultural fund win back?

By automating the pre-assessment, the checking of documents and the letters, a fund can aim for a clear reduction in handling time per file — reinvested in supporting members and in situations of hardship.

Pre-assessment of a benefit file
Today · done by hand
Prepared by the agent, to approve
A letter requesting documents from a member
Today · done by hand
Near-instant
Handling a complete multi-branch file
Today · done by hand
Prepared by the agent, to approve
Qualitative, non-contractual comparison: the proportions shown illustrate the shift of the work towards review, they represent no measurement. Every output of the agent is reviewed and approved by a competent person.
How it works

The stages of your AI agent project

1

Audit & scoping

15 minutes to target the use case with the best return.

2

Quote or direct sign-up

A catalogue offer is bought online; a specific need gets a costed quote.

3

Design

We design the agent and its guardrails.

4

Integration & testing

We connect your tools to the agent, which is itself hosted in France.

5

Rollout

Going live and training your team.

6

Operation

Continuous supervision and improvement.

Pricing

Three options, one agent

An agent for handling agricultural social security files (multi-branch pre-assessment, documents, letters to members), installed and operated for you. Choose according to how you are organised and how demanding your security requirements are, with HDS as an option.

This agent is priced with you, not online. We are adjusting its scope at the moment, and online subscription stays closed while we do. Tell us what you need: we will come back to you with a price. Request a quote
Our commitment

Four guarantees that matter to an agricultural social security fund

Members' data never leaves the fundA resource isolated for each organisation, hosted in France; no data entrusted to a foreign third party.
Data in France, HDS option for healthNative location and minimisation; HDS hosting for health processing; architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity.
The caseworker keeps the decisionThe AI agent pre-assesses and prepares files that can be checked; no entitlement is opened automatically.
Human oversight & traceabilityMulti-branch pre-assessment: every change to the service is logged, in line with the requirements of the AI Act.
Frequently asked questions

Your questions, our answers

Does the agent open entitlements?
No: it pre-assesses and prepares; opening entitlements remains a caseworker's decision, with no automation of decisions.
Is members' data protected?
Yes: hosting in France, a resource isolated for each organisation, a deployment governed with regard to the GDPR; an HDS option for health data.
Does the agent handle the single desk (all branches)?
It prepares the files of the different branches consistently, but every decision remains that of the caseworker concerned.
Is health data protected?
Yes: an HDS option for health processing, hosting in France and recorded access.
Does the agent state that it is an artificial intelligence?
Yes, from the very first interaction, and this is not a configuration option: since 2 August 2026, Article 50(1) of the European AI Regulation requires that any person interacting with an AI system be informed, unless this is obvious. The announcement is built into the greeting, in the other party’s language, and they can ask for a human at any time.
How long does it take to deploy an agent?
A few weeks as a rule, after a free audit that identifies the most useful use case, then a phase of design, integration and testing before going live.
Do we need a technical team to run it?
No: the agent is designed, installed and operated by us, working with your IT department on the integration. Caseworkers use it after a few hours of familiarisation.
Do we have to change software?
No. The agent complements your existing case management applications, with no migration imposed.
Which tools can users use to reach the agent?
The ones they already have. The agent answers on WhatsApp Business, the website chat and email: users have no account to create and no application to install. This is a lever for access to the service — WhatsApp and the telephone reach people an online form never does, which reduces the non-take-up of rights and serves equal access. Internally, your public-sector staff talk to the agent from Microsoft Teams, Slack or their email, without switching tools. Oversight runs from a web dashboard. These connectors rely on open standards, including the MCP protocol; they are included in every plan, at no extra cost, within the number of connections your level includes. Only the fees charged by the platforms themselves — WhatsApp Business bills per conversation — are passed on at actual cost, with no margin, outside the subscription.
Let's talk

Let's size up the potential in your fund

A few minutes to identify the most useful use case — hosted in France, supervised, with no commitment.