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● Public sector — Support for the labour inspectorate

AI agent supporting the labour inspectorate

An assistant that prepares regulatory letters, handles the documents and answers enquiries — the inspector keeps the analysis, the inspection and the decision. A strictly administrative and documentary scope: no support for inspections or for the decisions that follow. Hosted in France, on an isolated resource.

Hosted in France Case data protected GDPR & AI Act: governed deployment No support for inspections

Updated on

Deployed in a few weeks
Labour inspectorate support · hosted in France
An employer asks what must be displayed on the premises in a company with fewer than 50 staff. Prepare an informative reply.
Informative reply drafted. It sets out what must be displayed and circulated (working hours, contact details for the inspectorate and occupational health, safety instructions, workplace equality…) with the references in the labour code, and points to the official resources.
A general reply, with no assessment of an individual situation — ready for review.
⛓ Source · the labour code + your information sheets
Prepare the acknowledgement for this report and file the case documents according to our filing plan.
Documentary support carried out. Acknowledgement drafted on your template, 12 documents named and filed according to your plan (letters, contracts, payslips), a contents list generated with a cross-reference to each document.
No analysis of the substance: the assessment and what follows rest exclusively with the inspector.
✎ Action · case filed, letter ready — the inspector approves
Local inference · no data outside the EU
Data hosted in France
Sovereign by designLocal inference or hosting in France
GDPR & AI Act: governed deploymentTraceability & human oversight
TurnkeyDesigned, installed and operated for you
The inspector decidesAdministrative support — never the inspection
✦ In brief

For the labour inspectorate, a Blue Lemon Agent agent provides strictly administrative and documentary support: regulatory letters and notifications prepared from your templates, documentary handling of case files (documents, references to the labour code), informative replies to the public — employers and employees alike. It never takes part in inspection work or in the decisions that follow: no support for targeting, assessment or decision. It runs on local inference or is hosted in France on a dedicated, isolated resource, architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity. Live within a few weeks. Your public-sector staff write to it from Microsoft Teams, Slack or their email, and employers and employees 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 inspection services — and why they hesitate

Labour inspectorate units handle a considerable volume of letters, reports and enquiries, with constrained staffing. Every hour spent on administration is an hour less for the core mission — and the case data (companies, employees) is highly confidential.

! The issue

Officers are caught between members of the public — employers and employees — who expect quick answers, and a heavy administrative load: regulatory letters, filing documents, documentary tracking. Yet most consumer AI tools amount to entrusting reports, company data and employees' situations to a third party, often hosted outside Europe and subject to the Cloud Act — and they blur the boundary with inspection work.

Our answer

For the labour inspectorate, AI is only of interest if it is sovereign, confidential and strictly confined. Local inference or an isolated resource hosted in France, systematic human oversight, and a scope defined by design: administrative and documentary support only, never support for inspections, targeting or decisions. The aim is not to assist the inspection mission, but to give back the time to carry it out fully.

The decisive point

Protecting the case data: sovereignty & compliance

Reports, company data, employees' situations: the inspectorate's files are highly confidential. Here is how the architecture of our agents protects them, unit by unit.

Local inference

The agent can run on a machine at the unit: 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 — the case data: processing and access within the European Union targeted by the architecture.

Reduced extraterritorial exposure

For the case data, the architecture aims to reduce exposure to the Cloud Act and FISA 702; being located in France or in the European Union does not, on its own, guarantee immunity.

One isolated resource per department

No pooling of data: an environment strictly dedicated to your unit, guaranteeing the confidentiality of the files.

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 administrative support; no involvement in inspections or what follows; traceability 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 most sensitive data, SecNumCloud and HDS options are available depending on your requirements. 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

4 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

Vallonnais departmental employment and labour directorate — inspection unit no. 3 (fictional service)

Sector
Inspection unit of a departmental employment, labour and solidarity directorate — 6,200 establishments in its area, 74,000 employees; dominant sectors: construction, food processing, road haulage, home care
Headcount
14 staff in the unit, including 9 labour inspectors, 3 unit secretariat staff in the pilot and one unit manager; the departmental labour-law information service stays outside the scope, and the agent does not touch it
Public served
9,400 enquiries a year — 5,600 calls, 2,400 emails, 900 counter visits, 500 website forms; employers and employees in almost equal shares, 54 % against 46 %
Order of magnitude
2,180 regulatory letters drafted a year, 1,460 reports received, 3,100 documents filed, 214 legal texts tracked by the watch
Tools already in place
The unit's case application (establishment files, follow-up given), filing plan and letter templates settled by the unit manager, electronic signature folder, Microsoft Teams and email — the agent plugs into them read-only, nothing is replaced or migrated
Who decides what
The labour inspector organises inspections, makes the findings and decides what follows — article L8112-1 of the Labour Code; the unit manager settles the templates and the filing plan. The agent prepares, numbers, sources and dates; it writes no finding of fact
Room for improvement
1,372 calls out of 5,600 ring unanswered — 24.5 %; an information email waits 12 days on average; document filing is 100 % manual, 2 staff for 4 days a month, that is 56 hours a month and 672 hours over the year; 604 reports out of 1,460 arrive without any of the three items that make them workable

At inspection unit no. 3 of the Vallonnais, fourteen staff cover 6,200 establishments and 74,000 employees, and receive 1,460 reports and 9,400 enquiries a year. The most repetitive questions — which notices must be displayed, how overtime is paid, where to file a report, which documents to produce — take up the largest share of the flow, and the situations that actually need an inspector queue behind them. The exchanges below cover one year, from the survey of the flow to the review presented at the management meeting. The agent is hosted in France on an isolated resource, reads the case application without ever writing to it, and its scope is strictly administrative and documentary: it prepares letters that the inspector rereads and signs, numbers the documents in the files, serves general law to the public — and it writes no finding of fact, characterises no offence and produces no targeting list.

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.

Labour inspectorate support · hosted in France
I have reread your 9,400 enquiries for the year and gone through your 1,460 reports one by one against the three items that make them workable — the survey the inspection workload never leaves time for.
What the count says: 11 topics cover 6,580 enquiries out of 9,400, that is 70.0 % of the flow. Compulsory notices and disclosures, overtime and its premium, paid leave, maximum working time and rest, termination of contract and end-of-contract papers, pay and the payslip, filing a report and what becomes of it, the prevention and information medical visit, the single staff register, employee representation, access to the applicable collective agreement. The 11 reference answers are written, sourced by article number, and dated in the version in force — they are waiting for you.
What the three items weigh, and you can check each on your own logs:
· A regulatory letter drafted from one of your templates takes 12 minutes end to end, of which 60 % is re-entering the template, the establishment's identification and the references — 7 minutes 12.
· An information reply to a member of the public takes 9 minutes, of which 40 % is the drafting itself — 3 minutes 36.
· Document filing is 100 % manual work: 2 staff for 4 working days each month, that is 56 hours a month and 672 hours over the year.
And here is the survey nobody had the days to run: out of your 1,460 reports for the year, 604 — 41.4 % — bring none of the three items that make them workable: identification of the establishment, date or period of the facts, job and length of service of the person concerned. This is not a management figure: each of those 604 files goes back out as a request for further information, comes back 21 days later on average, and some never come back at all.
The proposal, and it takes half an hour of your time: I have written you a qualified acknowledgement of receipt that says, the minute the report arrives, exactly which of the three items is missing and where to find it. The unit manager settles the wording, and it goes out on next month's reports. inspection-unit-flow_9400-enquiries-11-topics.pdf6,580 enquiries across 11 topics, the three items costed, 1,051 hours identified
⛓ Sourced · 12 months of enquiry log, register of reports, the unit's filing plan
604 incomplete reports out of 1,460 — what does that mean over time? And how do we stop it happening again?
Over 24 months the same reading brings out 1,208. The cost is not counted in euros but in delay: 21 days of back-and-forth per file, on situations where the worker wrote in because they no longer knew who to turn to.
What I did on top, and what the inspection workload never leaves time for: I wrote four completeness rules, in the language of your filing plan, and ran them over your last 24 months of reports. For each one I give you the number of flags it would have raised, the share confirmed on examination, and what it would have let through — you choose on figures, not on a hunch:
· Rule A — report without workable identification of the establishment (company name and company number, or company name and address): 486 flags over 24 months, 471 confirmed — 96.9 %. The other 15 carried the trading name, which your application already matches.
· Rule B — report with no date or period of the facts: 402 flags, 381 confirmed — 94.8 %.
· Rule C — report concerning a named person, without their job or length of service: 264 flags, 222 confirmed — 84.1 %. It is the least reliable of the four, and I am giving it to you as such.
And here is what those three rules let through, because you need to know it before you sign: 218 reports that were complete in form announced a supporting document that never arrived — a payslip, a rota, a message thread. None of the three sees them. So I wrote rule D — a document announced in the body of the report and absent from the file 15 days after the acknowledgement — and ran it over the same 24 months: 218 flags, 196 confirmed — 89.9 %.
The four rules together cover 1,124 of the period's 1,208 incomplete files — 93.0 %, that is 562 of the year's 604.
Bringing a rule into service stays with the unit: a rule only takes effect once the unit manager has validated it. I save you the writing and the measurement; the decision takes half an hour instead of a working group. four-completeness-rules_tested-over-24-months.pdf4 rules tested, 1,124 files covered out of 1,208, what each one lets through
⛓ Sourced · 24 months of the register of reports, filing plan, acknowledgements of receipt
And what about the legal texts? Our watch rests on one person, and she goes on maternity leave in March.
Your watch tracks 214 texts a year on your scope, and I hold it on six declared sources: Légifrance for the codes and decrees, the Official Journal, the Labour Ministry's official bulletin, the extended collective agreements of your four dominant sectors, the instructions of the Directorate General of Labour, and the prefecture's register of administrative acts.
What I publish against myself, because you need to know it before you rely on me: out of the year's 214 texts, my watch missed 9 — 4.2 %. The explanation is not an excuse, it is a cause: all nine are prefectoral orders — working-time derogations, authorisations for young workers — published in the register of administrative acts, a source I was not querying because it was not on the starting list.
What I did about it: the source has been connected since 12 April, and I caught up the previous 24 months — 31 orders recovered, 4 of which touch an article cited by a template in service. Those four templates are marked « to be reviewed » in the signature folder; I did not modify them, the unit manager settles the templates.
The figure that matters for March: the delay between a text being published and reaching your templates has gone from 9 days to under 24 hours, and it no longer depends on one person being at their desk. What I propose for the leave period: I produce a two-page watch note every Monday — what has been published, what it touches here, which template is concerned — and you decide whether you want it with or without the case-law review, which adds twenty minutes of reading. regulatory-watch_6-sources-214-texts-and-the-9-missed.pdfThe 6 sources, the 9 texts missed and their cause, the 24-month catch-up
⛓ Sourced · six declared watch sources, 24 months caught up, the unit's template register
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 support of the labour inspectorate

Each use corresponds to an agent we deploy. All stay within administrative and documentary support, subject to the inspector's approval — never within inspection work.

Included in your agent The 5 capabilities essential to this promise are included, at no extra cost.
From 980 € incl. VAT / month

Regulatory letters & notifications

Prepare letters, acknowledgements and notifications from your templates, for approval and signature.

Documentary handling of case files

File the documents, generate the contents lists and note the references to the labour code, with no analysis of the substance.

Informative replies to the public

Answer employers' and employees' everyday questions and direct them, with no assessment of individual situations.

Research & regulatory watch

Find texts, circulars and case law and keep a targeted watch on employment law.

Plain language & easy-read draft

Preparation of a plain-language version and of a draft easy-read (FALC) transcription, submitted for human validation.

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, easy-read & translation

Part of the public remains cut off from public information: people who do not speak French, people with a cognitive disability, people uncomfortable with the written word.

On quote View the agent page
The gain

How much time can the unit win back?

By automating the preparation of letters, documentary filing and informative replies, the unit can aim for a clear reduction in administrative time — reinvested in the core mission, which stays exclusively human.

A regulatory letter from a template
Today · done by hand
Review and approval
An informative reply to a member of the public
Today · done by hand
Near-instant
Documentary filing of a case
Today · done by hand
Checking and approval
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 administrative support agent (regulatory letters, documentary handling, replies to the public), installed and operated for you. Choose according to how you are organised. Prices exclude VAT — available by direct award below the public procurement thresholds.

Agility

Setup + controlled subscription

10,600 € incl. VAT setup
then 980 € incl. VAT/month — you invest at installation and pay a reduced subscription. Ideal for keeping the cost under control over time.
  • Installation, configuration and training for your teams
  • Operation, human oversight, updates and support
  • Sovereign hosting in France, a dedicated and isolated resource
Order →
The simplest Serenity

All inclusive, no setup fee

1,565 € incl. VAT /month
all inclusive, immediate start. No upfront investment: a single subscription. Ideal for starting quickly and simply.
  • Setup included (installation, configuration, training)
  • Operation, human oversight, updates and support
  • Sovereign hosting in France, managed end to end
Order →
100% Sovereign

On site, you own it

15,396 € incl. VAT setup
then 1,240 € incl. VAT/month · + hardware from 2,989 € (one-off purchase, in addition) — a sovereign computer installed on your premises, maintained remotely. Models run locally, your data returned at the end of the contract. 36-month commitment.
  • Hardware installed on your premises (you own it)
  • French / European AI models run locally
  • Secure remote maintenance (Pro support included)
Order →
Not included in the packages: AI consumption (model tokens), re-invoiced at real cost with no margin, and tracked in real time in your client area. Maintenance and supervision subscription for an initial term of 12 months for the Agility package, 24 months for the Serenity package and 36 months for the 100% Sovereign package, renewable; support levels (SLA 72 h / 24 h / 4 h) optional. Bespoke development, additional integrations or exceptional volumes are quoted separately. Support Monday to Friday, 9am to 6pm. Prices include VAT at 20%: as a public body that is not VAT-registered, you cannot reclaim it.
AI model: none of the AI models offered currently carries a fixed surcharge. When the selected model carries a cost, that cost is shown when you choose it, before you order, and re-invoiced at the cost incurred, with no mark-up; usage is billed at the publisher's price. Publishers' prices are published in US dollars: the amount re-invoiced is the amount in euros actually borne by Blue Lemon Agent on the publisher's invoice, at that invoice's exchange rate, with no commission or mark-up.
Included components and additional components Components included in the base offer: the Blue Lemon Agent software foundation, the AI models listed in the order journey, the standard channels (Microsoft Teams, Slack, WhatsApp Business, email, website chat, calendars, Microsoft 365 / Google Workspace, file storage, market VoIP telephony, professional social-media pages and accounts, Google Business Profile), hosting in France for the package chosen, backups, supervision, updates and support. If adapting the AI agent to your constraints, your needs or your requests requires other paid components — a third-party publisher's software licence, paid API access to one of your applications, hosting of health data, for which French law requires an HDS-certified host (art. L. 1111-8 of the French Public Health Code), SecNumCloud-qualified hosting, a speech synthesis service, particular hardware —, they are offered to you as an option or on quotation and re-invoiced at the cost incurred; nothing is committed without your written agreement. Where the artificial intelligence model you choose entails an additional cost, that cost is shown to you before you order and re-invoiced to you at the cost incurred, with no margin.
What to expect
Go-live 2 to 3 weeks
Agent designed, channels connected, team trained.
Steady state 4 to 7 weeks
After a few weeks of real use, once the agent's behaviour matches what you expect. Indicative estimate, adjusted to the options you keep. It is not a delivery commitment.
Our commitment

Four guarantees that matter to an inspection service

The case data never leaves the unitLocal inference or an isolated resource hosted in France; no data entrusted to a foreign third party.
Data in France, under French lawAs regards the case data: hosting in France under French law, architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity.
Inspection stays exclusively humanAdministrative and documentary support only; no support for targeting, assessment or decision.
Human oversight & traceabilityMonitoring, updates and logging frame the regulatory letters & notifications, in line with the AI Act.
Frequently asked questions

Your questions, our answers

Does the agent take part in inspections or decisions?
No, strictly never: it supports administrative and documentary tasks. No support for decisions, targeting or inspections.
Is the data sovereign?
Yes: local inference or hosting in France under French law, architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity.
Does the agent take part in inspections?
No: its scope is strictly administrative and documentary support; it plays no part in inspection work or in the decisions that follow.
Is company data protected?
Yes: hosting in France, with restricted 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 — strictly within the administrative scope — then a phase of design, integration and testing before going live.
Do we need a technical team in-house?
No. The agent is designed, installed and operated by us: supervision, updates and maintenance are included. The unit concentrates on its mission.
How is the scope guaranteed over time?
The confinement to administrative support is defined at the design stage, documented and logged: everything the agent produces can be traced, and the scope is reviewed with you at each change, in line with the AI Act.
Which tools can employers and employees use to reach the agent?
The ones they already have. The agent answers on WhatsApp Business, the website chat and email: an employer or an employee has no account to create and no application to install. The replies are general information on rights and procedures, never an assessment of an individual situation, which belongs to the inspector. 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 us estimate the potential in your service

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