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● Public sector — HR & payroll management

The AI HR and payroll agent for public service: answer the staff, refocus HR on people

HR teams spend a considerable share of their time answering the same questions about status, pay and leave, and rebuilding files — at the expense of supporting staff. Your AI agent absorbs that repetitive work: it answers public officers with sources to back it and prepares the files. Hosted in France — on local inference or an isolated resource — staff personal data stays under control. The HR officer keeps the decision.

Hosted in France Staff data protected GDPR & AI Act: governed deployment Human oversight

Updated on

Deployed in a few weeks
HR & payroll assistant · hosted in France
A grade B officer is asking me how many leave days they have left and whether they can take training leave next month. Can you prepare the answer?
Leave balance: 11 days for the current year, plus 3 unused working-time reduction days.
Professional training leave is open subject to length-of-service conditions (met in this file); the request must be submitted at least 120 days before the course starts.
I have prepared a draft reply to the officer and a procedure sheet, for review before sending.
⛓ Source · HR system + the internal working-time rules
And on the pay side, does their supplementary allowance change if they take on new management duties?
Yes, potentially. The supplementary allowance depends on the duties actually performed: front-line management duties give entitlement to a number of points set by the schedule in force. I have prepared a simulation of the impact on gross pay, along with the list of supporting documents to attach.
To be checked and approved by the officer before anything goes into payroll.
✎ Action · simulation ready for review — the officer 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 HR officer decidesThe AI agent assists, the public officer decides
✦ In brief

In a public sector HR department, a Blue Lemon Agent agent answers staff on status, pay, leave and mobility — with sources to back it — and prepares and checks the completeness of HR files. It runs pay and entitlement simulations intended for human verification. It runs on local inference or is hosted in France: staff personal data is never exposed to a foreign service, architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity. HR teams refocus on supporting staff. The AI agent assists; every decision affecting a member of staff stays human.

100%
hosted in France in the target architecture
0
transfer outside the EU in the target architecture
9
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 public HR departments — and why they hesitate

Staff expect quick, reliable answers about their status and their pay, while HR officers are buried under repetitive requests. But the data involved — pay, family circumstances, health — is among an administration's most sensitive.

! The issue

The HR department is caught between staff who want immediate, reliable answers and a growing management workload (status, pay, leave, mobility, files to rebuild). Yet most consumer AI solutions amount to entrusting pay, individual circumstances and staff personal data to a third party, often hosted outside Europe and subject to the Cloud Act.

Our answer

AI is only of interest to a public service if it is sovereign and confidential by design. Local inference or an isolated resource hosted in France, systematic human oversight, decisions reserved to the public officer: the time saved on repetitive administration is never paid for in lost confidentiality. The aim is not to replace the HR officer, but to give them back time to support staff — while respecting equal treatment.

The decisive point

Protecting staff data: sovereignty & compliance

An HR department handles public officers' most sensitive data. Here is how the architecture of our agents protects it, file by file.

Local inference

The agent can run on a machine belonging to the authority: no HR data leaves the network, nothing passes through a cloud.

Hosting in France

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

Reduced extraterritorial exposure

Exposure of staff data to the Cloud Act and FISA 702 is reduced by design; location alone does not guarantee immunity.

One isolated resource per administration

No pooling of personal data: an environment strictly dedicated to your HR department.

Encryption & role-based access

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

AI Act: governed deployment

An agent strictly in support; no automated individual decision; 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 most sensitive data (health, individual circumstances), 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

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

Vaurenne hospital — fictional public health establishment

Sector
Public health establishment — medicine, surgery, follow-up care and a residential home for dependent elderly people; continuous service, day and night working cycles
Headcount
1,180 staff, 720 of them caregivers — a human resources department of 9: 7 career and payroll officers, a payroll manager and a deputy director for human resources
Public served
The establishment's 1,180 staff — 9,400 HR enquiries a year at the counter, by e-mail and by phone, some of them from night staff who never cross paths with the department
Order of magnitude
14,160 payslips a year, 380 complete HR files — mobility, promotion, retirement, part-time, career break —, 1,150 pay simulations and 6,200 questions falling within 16 topics
Tools in place
Human resources information system, payroll software, time and rota management, electronic staff-file management, online services — the agent plugs into them read-only, nothing is replaced and nothing is migrated
Who decides
The HR officer processes and approves every output; the payroll manager settles what goes into pay; the deputy director for human resources signs individual decisions
Room for improvement
A member of staff waits 8 days for an answer on status or pay; 214 of the 380 HR files go out incomplete at first presentation; 37 of the 290 simulations of a quarter have to be corrected before going into pay; and 5 of the 16 answers posted at the HR counter no longer match the text in force

At Vaurenne, nine people handle the careers and pay of 1,180 staff, 720 of them caregivers who work in cycles and only reach the HR counter on their rest time. The questions are always the same — leave, time-savings account, allowances, part-time — and the answer always exists somewhere: it is availability that is missing. The agent runs on local inference on a machine belonging to the establishment, reads the human resources information system without ever writing to it, and lets nothing leave without an officer's approval. The exchanges below span a year, from the overhaul of the standard answers to the review presented to the staff committee.

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.

HR & payroll assistant · hosted in France
I have reread your last twelve months of HR counter traffic — 9,400 enquiries, 14,160 payslips, 380 complete files — and I draw from it a finding your logs were carrying without anyone having the time to establish it.
The gap measured, and it governs everything else: 6,200 of your 9,400 enquiries concern 16 topics, always the same ones — leave balance, time-savings account, allowances, part-time, career break, training leave, family supplement, travel reimbursement, working cycles and time off in lieu, retirement, internal transfer, welfare benefits, employer certificate, maternity and parental leave, promotion, and how to read a payslip. Two enquiries out of three already have their answer written somewhere in your own files.
What that costs today, across the three items you measure:
· Preparing a complete HR file accounts for 60 % of the time the file takes1 hour 30 out of the 2 h 30 it takes from request to decision.
· A pay simulation on an individual case: 33 %, that is 20 minutes out of the hour the case takes.
· Answering a recurring question: 10 %, that is 4 minutes out of the 40 an enquiry consumes, from the first message to the answer sent.
· And the figure that holds the other three together: a member of staff waits 8 days for an answer on status or pay. That is not a service failure: it is nine people for 1,180 staff, 720 of them working in cycles.
What I propose, and it is not an intention — it is already written: I drafted the 16 answers overnight, each backed by its source — statutory text, resolution, internal memo or notified individual decision — with its date and the extract that grounds it. 5 of the 16 answers posted at the HR counter no longer match the text in force: the allowance scheme was revised in session, two internal memos on working cycles have been replaced, and the filing arrangements for the time-savings account have changed counter. The 5 updated versions are written, with the replaced line and the line replacing it side by side.
What that shifts once the answers are settled: the file drops to 18 %, the simulation to 8 %, the recurring question to 6 %27 minutes, 5 minutes, 2 minutes 24.
The next step, and it takes twenty minutes: you read the 3 topics that weigh the most, I bring them to you tomorrow morning. The deputy director settles the version, and it is in service the same eveningthat approval is what commits the establishment's word before a member of staff, and it is the only act I leave to you. hr-department-workload_9400-enquiries-16-topics.pdf6,200 recurring questions, 8 days' wait, 5 answers to revise
⛓ Sourced · 12 months of HR counter logs, staff e-mails, statutory texts, resolutions and internal memos, 16 answers drafted
There are nine of us for 1,180 staff. I do not have a whole day to spend on standard answers. Where do I start?
With three topics, not sixteen — and I have ranked them by the number of enquiries they take off you, not alphabetically.
What the count of your twelve months says:
· Leave balance and time-savings account: 1,640 enquiries a yearthe counter's first topic, and the one whose answer is always in the information system.
· Allowances and reading the payslip: 1,210 enquiries, packed into the three weeks after each payment, and it is the topic whose answer is out of date: the revision voted in session was never carried into the notice posted at the counter.
· Part-time, career break and return from career break: 890 enquiries, and those are the costliest when the answer comes late, because they carry filing deadlines.
Those three topics make up 3,740 of the 6,200 recurring enquiries: three answers out of sixteen, six enquiries out of ten. The other 13 can wait until the end of the month without changing anything to your workload.
What I bring you within those twenty minutes, and what nobody has the time to do: the three updated answers, already written, with the governing text alongside, its date and its extract, and the number of enquiries each would have handled in the past year alone — 1,640, 1,210 and 890. You approve, or you correct with a single word. I save you the writing and the cross-checking: the decision takes twenty minutes instead of half a day, and it remains the establishment's — which is what makes it binding and checkable by the member of staff who receives it.
The next step I propose: that after those three, I flag on my own any answer that a new text, a resolution or an internal memo amends, and that I write the updated version the night after it is published. Your 16 answers will stop ageing in silenceand all it will cost you is one review, when the text changes. sixteen-hr-answers_sourced-and-dated.pdf16 answers written, 5 updated, each with its extract
⛓ Sourced · enquiry count by topic over 12 months, statutory texts, resolutions and internal memos, 16 answers drafted
All of that assumes you read our staff files: pay, family situations, sickness absence. Where do they go?
They go nowhere. I run on local inference on a machine belonging to the establishment, and nothing I read leaves your network.
Local inference means the model computes on your own machine: the content of a staff file crosses no external network to be processed. If the establishment would rather not host a machine, the other route is an isolated resource hosted in France, dedicated to Vaurenneno pooling with another establishment.
What that changes, point by point:
· Staff files train no model, neither ours nor a third party's.
· I work read-only on the human resources information system and on the payroll software, and the technical account I read through has no right to writethat is sturdier than a promise, because it can be checked with one command. No value enters pay other than through an action by the payroll manager.
· Encryption in transit and at rest, role-based accessrights follow the job: an officer opens the files in their own portfolio, not other people's, and the “payroll” role does not open medical documents. 11 roles for your 9 staff and their managers, and the log shows 0 out-of-role access since go-live.
· Health-related documents sit in a separate perimeter, open only to the role that needs them: I handle the absence reason as the rota records it — sickness, maternity, work accident — and never its medical content.
· Hosting in France, under French law, architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity.
· Full log: which request, which answer, from which source, and who approved it.
And the rule that holds everything else, because it protects staff as much as it protects you: no individual situation is decided by me. I prepare, I calculate, I hand over every figure with its source — the decision that affects a member of staff is taken and signed by a person. That is what makes it reasoned, notifiable and open to challengea decision nobody had signed could be challenged by nobody, and would be worth nothing.
The figure that sums all this up: 0 staff data out of the establishment's network across the 9,400 enquiries of the year, and processing in the EU targeted.
What I propose: that I keep up to date the file your data protection officer and your staff committee will ask for — hosting, data processed, retention periods, who accesses what. It is requested once a year and takes two days to reconstitute; the first version is already written and waiting for you. technical-framework_where-staff-data-lives.pdfLocal inference, read-only, processing in the EU targeted
✎ Framework · deployment architecture, technical account rights, matrix of the 11 roles, first version of the register file
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 a public HR department

Each use corresponds to an agent we deploy. All of them work in support, subject to approval by the HR officer.

Included in your agent The 6 capabilities essential to this promise are included, at no extra cost.
From 1,070 € incl. VAT / month

Information for staff

Answering questions on status, pay, leave and mobility, with sources to back them — 24/7 and across channels.

Reading the file's documents

Extraction and checking of HR supporting documents (orders, certificates, contracts) before they go into the file.

Preparing HR files

Completeness checks, career reconstruction and preparation of mobility or promotion files.

Pay & entitlement simulations

Pre-calculating the variable elements (allowances, bonuses, indemnities) and entitlements, for human verification.

Checks & anomaly detection

Spotting inconsistencies in pay and in files (duplicates, deviations from the grade scale) before approval.

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 6 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 Apply transparent criteria and avoid automated decisions Preserve human validation, recourse and audit trail Protect HR data with fine-grained access and retention periods
What the agent must be connected to This connection is required for the agent to work. It concerns your information system and is scoped during the audit.
Integrate with the HR information system/ATS and measure quality, turnaround time and fairness
Other needs our agents cover Each card says where the matching agent stands: available, on quote, or still being architected.
The gain

How much time can an HR department win back?

By automating recurring answers and the preparation of files, an HR department can aim for a clear reduction in repetitive administration time — reinvested in supporting staff and in service quality.

Preparing a complete HR file
Today · done by hand
Prepared by the agent, to approve
Pay simulation on an individual case
Today · done by hand
Near-instant
Answering a recurring question from a member of staff
Today · done by hand
Automatic
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 HR and payroll agent (answers to staff, files, simulations), installed and operated for you. Choose according to how you work. Prices exclude VAT — annual subscription, the time it takes for the gains to settle in.

Agility

Setup + controlled subscription

13,290 € incl. VAT setup
then 1,070 € 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

1,810 € 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

18,571 € incl. VAT setup
then 1,335 € 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 a public HR department

Staff data never leaves the departmentLocal inference or an isolated resource hosted in France; no personal data entrusted to a foreign third party.
Data in France, under French lawFor staff data: hosting under French law, native minimisation, architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity.
The HR officer keeps the decisionThe agent prepares verifiable answers, files and simulations; no individual decision is automated.
Human oversight & traceabilityInformation for staff: monitoring, updates and logging, compliant with the AI Act and with the principle of equal treatment.
Frequently asked questions

Your questions, our answers

Is staff personal data protected?
Yes: hosting in France or local inference, role-based access (RBAC), full traceability and GDPR compliance. The data stays in the EU, with the deployment objective of processing and access operated within the European Union and an architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity.
Can the agent decide an individual situation?
No: it prepares and informs — answers, files, simulations — but every decision affecting a member of staff stays human. The AI agent assists, the HR officer decides, respecting equal treatment.
Does it cover all three branches of the civil service?
Yes, by adapting the regulatory base (status, agreements, council decisions) to your own scope — central government, local government or hospital service.
Can the agent really answer staff questions about pay?
Yes. It answers on status, pay, leave and mobility citing its sources (the statutory framework, internal rules, council decisions) and prepares a draft reply that the officer reviews before sending. Staff get reliable information faster, without overloading the HR department.
Do we have to change our HR system or payroll software?
No. The agent connects to your existing tools (HR system, payroll software, document management, online services) and complements them, without imposing a migration. We adapt the integration to your environment.
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 the agent?
A few weeks as a rule, after a free 15-minute audit that identifies the most useful use case, then a phase of design, integration and testing before going live and training the officers.
Let's talk

Let us estimate the potential in your HR department

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