+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 — Workplace injury caseworker

AI agent for the workplace injury and sick leave caseworker

An assistant that pre-assesses accident reports and sick leave, checks the documents and prepares the replies — the caseworker keeps the decision and the classification. Deciding whether an accident is work-related stays strictly human, on medical advice. HDS hosting in France for health data.

HDS hosting in France Medical data isolated GDPR & AI Act: governed deployment Human classification, always

Updated on

Deployed in a few weeks
Workplace injury assistant · hosted in France
Pre-assess this workplace accident report received this morning: check the documents and the deadlines.
File pre-assessed. Report received within the 48-hour limit, initial medical certificate attached, employer's reservations: none raised at this stage. The assessment period runs to the 28th of the month. Document to request: the salary certificate for daily benefits.
File passed on for classification — which stays yours, on medical advice.
⛓ Source · the report + the documents received, statutory deadlines
Prepare the notifications and the deadline tracking for the files whose assessment period ends this week.
5 files reaching the deadline: draft notifications prepared from your templates, decision fields left blank — recognition or refusal is a matter for your classification. Schedule updated with the deadline for each file.
All submitted for your check before sending.
✎ Action · notifications prepared — the caseworker approves and classifies
Local inference · no data outside the EU
Data hosted in France
Sovereign by designHDS hosting in France
GDPR & AI Act: governed deploymentTraceability & human oversight
TurnkeyDesigned, installed and operated for you
Classification stays humanThe agent prepares, it never classifies
✦ In brief

A Blue Lemon Agent agent assists the workplace injury caseworker with the repetitive tasks — pre-assessment of workplace accident reports and sick leave (documents, deadlines), letters and notifications to claimants and employers, tracking the classification deadlines — and spots inconsistencies to check before handling. It is hosted in France with HDS hosting for health data, on an isolated resource, architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity. Deciding whether an injury is work-related stays a human decision, on medical advice — never the machine's. Live within a few weeks. Your public-sector staff write to it from Microsoft Teams, Slack or their email, and insured people and employers 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 workplace injury services — and why they demand guarantees

Accident reports, medical certificates, salary certificates, statutory assessment periods: every workplace injury file mixes administrative documents and health data, under the pressure of strict statutory deadlines.

! The issue

The caseworker is caught between statutory assessment periods that cannot be negotiated and files whose assembly — reports, certificates, salary statements, employers' reservations — is time-consuming. Yet most consumer AI tools amount to entrusting health data, employment situations and medical information to a third party, often hosted outside Europe and subject to the Cloud Act — unacceptable for a social security body.

Our answer

For files mixing medical and social data, AI is only of interest if it is sovereign, certified and strictly bounded. HDS hosting for health data, an isolated resource, minimised access, systematic human oversight: the AI agent prepares the files and watches the deadlines, but deciding whether an accident is work-related remains the caseworker's decision, on medical advice. The time won back goes to handling the files within the deadlines.

The decisive point

Protecting occupational health data: sovereignty & compliance

A workplace injury service handles health data and sensitive employment situations. Here is how the architecture of our agents protects it.

HDS hosting

The health-data hosting level required as soon as certificates and medical information are involved, for the processing concerned: settled with you at scoping.

Hosting in France

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

Reduced extraterritorial exposure

Exposure of the medical data in workplace injury files to the Cloud Act and FISA 702 is reduced by design; location alone does not guarantee immunity.

Local inference possible

For the most sensitive information, the agent can run on local inference: nothing leaves the organisation's network.

Encryption & controlled access

Encryption in transit and at rest, minimisation, role-based access, strong authentication and logging.

AI Act: governed deployment

The agent is strictly in support; no classification is automated; 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.
HDS hosting (the French certification for health data hosts) for the processing concerned — essential as soon as a medical certificate is involved — and 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-d'Aurance health insurance fund — occupational risks service

Sector
Occupational risks — handling reports of workplace accidents, commuting accidents and occupational illnesses, monitoring sick leave and daily allowances
Headcount
62 staff — including 24 workplace injury caseworkers, 8 on the telephone service, 5 investigators, and a separate medical service, alone authorised on medical material
Public served
18,700 employers and 214,000 employees covered, from the three-worker building site to the eight-hundred-strong industrial plant
Order of magnitude
10,000 files a year — 9,400 accident reports and 600 occupational illness claims —, 31,000 sick leave spells monitored, 41,000 documents received, 12,000 letters and notifications, and 74,000 enquiries: 54,000 calls, 14,000 e-mails, 6,000 portal messages
Tools in place
National occupational risks management software, employer online reporting portal, telephone platform and 7 years of filed cases — the agent plugs into them read-only, nothing is replaced and nothing is migrated
Who decides
The caseworker prepares the file; classifying the accident as work-related is decided and signed by the authorised officer, on the medical service's opinion; the head of service rules on extensions; the medical service alone accesses medical material
Points for improvement
1,400 files a year — 14 % — reached the decision deadline without the adversarial stage having been opened; 780 overran a deadline; nearly one report in three arrived incomplete from the employer portal; and 29 % of calls rang unanswered at accident peaks

At Val-d'Aurance, handling a workplace accident turns on deadlines that cannot be negotiated: when the deadline passes without a decision, the accident counts as work-related by default, and nobody has decided anything. The agent is hosted in France, on a resource dedicated to health data, with local inference available for the most sensitive material; it reads the seven years of files without ever writing to them, opens no medical item and releases nothing without a caseworker's approval. The exchanges below cover a year, from rebuilding the timetables to the review presented to management.

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.

Workplace injury assistant · hosted in France
I reread your seven years of files over the weekend — 10,000 files a year, 41,000 documents, every instruction timetable — and I have drawn out the figure that decides everything else.
The gap measured: 1,400 files a year — 14 % — reached the decision deadline without the adversarial stage having been opened. The adversarial stage is the point at which the employer and the insured person may consult the material in the file and make their observations before the decision is taken; it is not a formality, it is what makes the decision defensible.
And the figure that follows, the costliest one: 780 files overran an instruction deadline. When the deadline passes without a decision, the accident counts as work-related by default780 times, nobody decided anything, one way or the other. These are neither refusals nor recognitions: they are files the calendar settled instead of your officers.
The cause, measured and not assumed: each file's timetable lived in the head of the caseworker holding it. Of the 780, 611 were files taken over by another caseworker mid-handling — leave, moves, year-end reinforcement. The date was not lost through negligence: it was lost at the hand-over.
What I have already done, and this is not a promise: I have rebuilt the timetable of all 10,000 files — date received, starting point of each deadline, date the adversarial stage was opened, decision deadline — and rerun it over the last twelve months. With alerts at fifteen days, seven days and two days before expiry: all 1,400 adversarial stages would have been opened in time, and the 780 overruns would have fallen to 41.
The next step I propose, and it takes one meeting: you read the standard timetable for each type of file — it is written in everyday wording, one line per stage. The service settles it, and from the next day every file carries its three alerts: your 24 caseworkers stop holding dates in their heads, and not one file decides itself again. instruction-deadlines_1400-adversarial-stages-and-780-overruns.pdf14 % of files with no adversarial stage, 611 overruns after hand-over
⛓ Sourced · 7 years of files, rebuilt instruction timetables, hand-over log, rerun over 12 months
Rebuilding timetables means opening files that contain medical certificates. That has been our sticking point for two years.
I open no certificate, and it can be checked with one command: I read dates and document types, never medical content.
What I see of a medical certificate, and nothing else: that a document of that type arrived, on what date, and for which file. The content — the site of the injuries, the diagnosis, the medically justified duration — stays in the medical service, and I do not access it. What the caseworker sees is what the medical service has decided to pass on: an opinion, a date, a duration.
The architecture that guarantees it, point by point:
· The 9,400 medical documents received this year are hosted on the resource dedicated in France to hosting health data, separate from the rest, and the medical service alone accesses it.
· For the most sensitive material, local inference is availablethe model then computes on a machine belonging to the body, and nothing crosses any external network.
· Role-based accessrights follow the job: a caseworker sees the administrative documents of their files, an investigator the circumstances, the medical service the medical material, and nobody sees all three. Over the year, the log shows 0 access to a medical item outside the medical service.
· Hosting in France, under French law, architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity; a dedicated resource, with no pooling with another body; encryption in transit and at rest; a read-only technical account, with no write permission on your systems; and no insured person's data trains any model.
What this partitioning lets you say, and it is an argument, not a constraint: to an insured person asking who has seen their file, you answer with a named and dated list; to an employer asking to consult the material, you show exactly what they are entitled to consult, with no risk of showing one document too many. The log can be inspected by your data protection officer whenever she decides, without telling us.
The next step I propose: that I keep up to date the record your officer and your supervising authority will ask for — hosting, data processed, 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. technical-framework_partitioning-of-health-data.pdf0 medical access outside the medical service, local inference available
✎ Framework · deployment architecture, the HDS hosting requirement, role-based access log
We already have alerts. There are so many of them that nobody looks at them any more.
That is exactly what I produced in the first twelve weeks, and I publish the figure: 3,200 alerts, of which 2,100 were pointless — 66 %. Only one alert in three deserved a look, and that is the surest way to make all three useless.
The cause, measured: I alerted on every file whose deadline was approaching, without looking at its state. 1,380 of the 2,100 pointless alerts concerned files already decided and 720 files whose handling was suspended pending an external element.
What I did about it, and it is measured: an alert now fires only if three conditions are met: the file is open, no decision is recorded, and the stage due on that date has not been reached. Over the following twelve weeks: 1,240 alerts, 1,180 useful — 95 %. And the remaining 60 are suspended files whose suspension had not been recorded: I flag those separately, because they are the ones that go back into overrun.
What each alert carries, and it is what makes it usable in ten seconds: the file, the missing stage, the deadline, the days remaining, and the document already drafted that unblocks the stage — letter opening the adversarial stage, document request, or draft decision when the file is complete.
The time this shifts: reviewing the caseload's deadlines goes from 100 % to 20 % of the task — from 2 hours a week per caseworker to 24 minutes. Across 24 caseworkers and 45 working weeks, that is 1,728 hours given back to handling itself.
The next step I propose: that the Monday record carry the only three figures that matter to your head of service — files due within fifteen days, adversarial stages not opened, files suspended for more than thirty days. One page, three columnsthat is what allows reinforcements to be arranged on Monday morning rather than overruns to be noted at quarter end. deadline-alerts_3200-then-1240.pdf66 % pointless down to 5 %, 1,728 hours given back
⛓ Sourced · alert log over two twelve-week periods, file states, outcomes
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 in handling workplace injury claims

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

Included in your agent The 7 capabilities essential to this promise are included, at no extra cost.

Pre-assessment of work accident and occupational disease declarations

Pre-assess accident reports and sick leave (documents, statutory deadlines) and flag discrepancies.

Checking the documents in a file

Check reports, certificates and salary statements; detect missing documents and prepare the requests.

Letters & notifications

Prepare the letters to claimants and employers from your templates, decision fields left to the caseworker.

Tracking the classification deadlines

Watch the assessment deadlines file by file and raise an alert before each statutory cut-off.

Spotting inconsistencies

Flag discrepancies between the report, the certificate and the salary statement for a human check — never an automatic decision.

Answers to claimants & employers

Inform on the progress of files and the procedures (report, documents, daily benefits), around the clock.

Help with online reporting

Guide employers through their online reports and reduce incomplete files at source.

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

Need to go further?

These agents handle a different business process, with their own owner and their own price. They are added to this one.

Does your need fall outside this?

In 15 minutes we identify the agent that will give your staff the most time back — without oversizing the project.

Book the free audit Build your agent
The gain

How much time can a workplace injury service win back?

By automating the pre-assessment, the checking of documents and the tracking of deadlines, a service can aim for a clear reduction in assembly time per file — reinvested in classification and in disputed files.

Pre-assessment of a workplace accident report
Today · done by hand
Prepared by the agent, to approve
A standard notification to a claimant or employer
Today · done by hand
Near-instant
Checking the assessment deadlines across the caseload
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 workplace injury claims and sick leave (pre-assessment, documents, notifications, deadlines), 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 a social security body

Medical data stays isolatedHDS hosting, minimisation and restricted access; local inference possible for the most sensitive information.
Data in France, under French lawNative location; architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity.
Classification stays humanThe AI agent pre-assesses and prepares; recognising an injury as work-related remains the caseworker's decision, on medical advice.
Human oversight & traceabilityPre-assessment of accident reports: 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 classify the workplace accident?
No: it pre-assesses and prepares; the classification and the decision remain those of the caseworker concerned.
How is health data protected?
HDS hosting, an isolated resource, minimisation and logging. GDPR: governed deployment.
Does the agent decide whether an accident is work-related?
No: it prepares the file; the classification remains a decision of the caseworker, on medical advice.
Is medical data isolated?
Yes: HDS hosting is available, with restricted and recorded access, and local inference for the most sensitive information.
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 insured people and employers use to reach the agent?
The ones they already have. The agent answers on WhatsApp Business, the website chat and email: an insured person or an employer has no account to create and no application to install. A workplace-accident file carries health data: the agent gives information on progress and on the documents expected, never on medical content, which stays with the department and the medical adviser. 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 organisation

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