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● Public sector — Social welfare officer

AI agent for the social welfare officer

An assistant that pre-assesses applications for help, prepares the panel files and drafts the replies — the social worker keeps the assessment and the decision. Hosted in France, on a resource isolated for each centre, residents' social circumstances stay strictly confidential. The AI agent assists, the social worker decides.

Hosted in France Social circumstances protected GDPR & AI Act: governed deployment Human oversight

Updated on

Deployed in a few weeks
Welfare centre assistant · hosted in France
Pre-assess this emergency food assistance application received this morning.
Application pre-assessed. Documents present: proof of household income, rent receipt, household composition. Disposable income calculated against your assistance rules: the situation falls within the criteria for emergency help. Missing: this month's benefit statement.
A one-page summary is ready for the social assessment.
⛓ Source · the documents in the file + the centre's assistance rules
Prepare Thursday's panel file: three applications for discretionary help.
Panel file ready. For each application: a summary of the situation, income and disposable income, the help requested, the history of help granted. No ranking and no prioritisation: the panel considers each situation freely.
Individual notes attached, ready for review.
✎ Action · notes ready — the social worker and the panel decide
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 social worker decidesThe AI agent assists, it never awards alone
✦ In brief

In a local welfare centre, a Blue Lemon Agent agent assists the social welfare officer with the repetitive tasks — pre-assessment of applications for discretionary help, files and notes for the panel, reply letters, directing people to the right schemes — and summarises situations for the social assessment. It runs on local inference or is hosted in France on a resource dedicated to and isolated for each centre: residents' social circumstances are never exposed to a foreign service, architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity. The assessment and the award stay human; the time won back goes to supporting people. Live within a few weeks. Your public-sector staff write to it from Microsoft Teams, Slack or their email, and users 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 local welfare centres — and why they hesitate

Applications on the rise, emergencies to handle quickly, panel files to prepare: local social welfare is short of time, while the data it handles — income, health, hardship — is among the most sensitive there is.

! The issue

The social welfare officer is caught between people in difficulty who need a quick answer and a growing administrative load: documents to check, files to summarise, letters to write. Yet most consumer AI tools would amount to entrusting residents' income, family situations and vulnerabilities to a third party, often hosted outside Europe and subject to the Cloud Act.

Our answer

For social circumstances, AI is only of interest if it is sovereign and confidential by design. Local inference or an isolated resource hosted in France, systematic human oversight, the social assessment and the award reserved to the social worker and the panel: the time saved on pre-assessment is never paid for in lost confidentiality. The aim is not to replace the social welfare officer, but to give them back time for people.

The decisive point

Protecting social circumstances: sovereignty & compliance

A welfare centre handles its residents' most intimate data: income, hardship, sometimes health. Here is how the architecture of our agents protects it, centre by centre.

Local inference

The agent can run on a machine at the centre: 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 social circumstances: processing and access within the European Union targeted by the architecture.

Reduced extraterritorial exposure

Architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity for social circumstances: our architecture depends on a subcontracting chain and remote access documented for the configuration chosen.

A resource isolated per centre

No pooling of data: an environment strictly dedicated to your centre, guaranteeing the continuity of the public service.

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 help is awarded 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 most sensitive data, SecNumCloud and HDS options are available — particularly relevant as soon as social or health data is processed. 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

CCAS of Verneuil-en-Brie — municipal social action centre of a town of 12,600 residents

Sector
Municipal social action — discretionary assistance, emergency relief, administrative address registration, meals on wheels, social needs analysis; front desk open 24 hours a week across four days
Headcount
9 staff — 2 social workers, 1 family and social economy adviser, 1 social reception officer, 1 head of service, 1 accounts secretariat and 3 meals-on-wheels staff; the casework team is four people
Public served
12,600 residents, 1,130 households followed — 5,400 enquiries a year: 3,020 phone calls, 1,460 counter visits, 920 e-mails
Order of magnitude
486 applications for discretionary assistance a year — 168 emergency relief cases, 132 files examined across 11 committee meetings, 186 decided under delegation below the threshold set by the rules — 612 reply letters and 189 referrals to a partner
Tools in place
Social action case management software, e-mail, switchboard, office templates and 3 years of filed case records — the agent plugs into them read-only, nothing is replaced and nothing is migrated
Who decides what
The award committee decides on discretionary assistance; the head of service decides under delegation below the threshold set by the adopted rules; social workers own the social assessment and validate every output before it leaves
Room for improvement
41 % of the 3,020 calls ring out beyond the 24 opening hours; a reply letter waits 9 days; 7 of the 23 standard letters predate the revision of the means scale; and 312 likely entitlements have never been claimed

In Verneuil-en-Brie, four people handle 486 assistance applications a year, 11 committee meetings, the letters and the front desk. The data involved — income, rent, household composition, sometimes health — is among the most sensitive there is. The agent runs as local inference on a machine belonging to the CCAS, reads the three years of case records without ever writing to them, and sends out nothing without a public officer's validation. The exchanges below cover one year, from the overhaul of the standard letters to the report 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.

CCAS assistant · hosted in France
I reread your three years of case records over the weekend — 1,458 assistance applications, 1,130 households followed, 23 standard letters — and I have drawn out three figures your files were carrying without anyone having the time to see them.
Discretionary assistance is assistance the CCAS decides on itself, within the conditions of the rules adopted by its board, as opposed to statutory benefits whose conditions are set elsewhere.
The gap measured, and it commands everything else: 7 of your 23 standard letters predate the resolution that revised the means scale. Disposable income after essential costs is what remains to the household once compulsory outgoings are paid — rent, energy, insurance — and it opens or closes most of your assistance. The award notification still quotes the former threshold; the reasoned refusal letter relies on a replaced scale. These are not drafting mistakes: they are templates that aged while nobody had the time to reopen them.
What the three items you can check on your own records cost today:
· Pre-instruction of an application for discretionary assistance: 48 minutes, from filing to the file landing on the social worker's desk.
· A reply letter to an applicant: 32 minutes.
· The full pack for one committee meeting: 80 minutes.
What I propose, and it is not a promise — it is already written: I rewrote the 7 standard letters overnight, each aligned on the resolution in force, with the replaced line and the line replacing it side by side. What that would have changed over the past year, since that is the only measure that counts: the 268 award notifications would have carried the scale that was voted and not the repealed one, and the 47 reasoned refusals would have been reasoned on the text in force — which is what makes them defensible before a resident who challenges them.
What the three items become once the letters are settled: I build each file from your updated templates, and you keep only what you alone can do — assess, decide and sign. 48 minutes become 8, 32 become 8, 80 become 16.
And the figure that weighs most, the one I develop in a moment: rereading the documents already held in your 1,130 files, I identified 312 likely entitlements that nobody had ever claimed.
The next step, and it takes twenty minutes: you reread the three letters that weigh most, I present them to you tomorrow morning. The head of service settles the version, and it is live that evening. stocktake_23-letters-7-to-rework.pdf23 letters reread, 7 rewritten, the resolution that governs each
⛓ Sourced · 3 years of CCAS case records, register of resolutions, 23 standard letters, 7 rewritten versions
There are four of us on the casework team and I do not have half a day to spend on templates. Where do we start?
With three letters, not twenty-three — and I have ranked them by the time they give you back, not alphabetically.
What the count across your three years of case records says:
· The award notification: 268 letters a year, and it is the one quoting the replaced scale.
· The request for missing documents: 197 a yearthe letter that decides whether a file moves forward or sleeps for three weeks.
· The reasoned refusal: 47 a year, the most closely read of all, because it is the one a resident rereads before challenging it.
These three letters account for 512 of the 612 items sent in the year: three templates out of twenty-three, more than eight letters in ten. The other twenty can wait until the autumn without changing anything to your workload.
What I bring you within those twenty minutes, and what nobody has time to do: the three updated versions, already written, the governing resolution alongside with its date, and the number of letters each would have produced last year alone — 268, 197 and 47. You validate or correct with a word; the head of service settles the version. I save you the writing and the cross-checking: the decision takes twenty minutes instead of half a day, and it remains the CCAS's own — which is what makes it enforceable.
The gain these three letters carry on their own: 32 minutes down to 8 across 612 letters, that is 244 officer hours returned to the service over the year.
The next step I propose: that after these three, I flag on my own initiative any standard letter that a later resolution amends, and write the updated version overnight after the board meeting. Your 23 templates will stop ageing in silence, and it will cost you no more than one read-through per board. casework-team-workload_where-the-time-goes.pdf612 letters a year, 3 templates for eight letters in ten
⛓ Sourced · count of letters by template over 3 years, register of resolutions, 3 rewritten versions
All of this assumes you read residents' income, rent and family situations. Where do they go?
They go nowhere. I run as local inference on a machine belonging to the CCAS, and nothing I read leaves your network.
Local inference means the model computes on your own machine: the content of a social case file crosses no external network to be processed. If the CCAS would rather not host a machine, the other route is a dedicated resource hosted in France, reserved for Verneuil-en-Brieno pooling with another CCAS, which is the condition for the continuity of your service.
What that changes, point by point:
· Households' situations train no model, neither ours nor a third party's.
· I work read-only on your files, and the technical account I read through has no write permissionthat is stronger than a promise, because it can be checked with one command.
· Encryption in transit and at rest, role-based accessrights follow the job: meals-on-wheels staff do not open assistance files, the accounts secretariat sees the amounts paid and not the social assessments. 9 roles for your 9 staff, and the log shows 0 out-of-role access since go-live.
· Hosting in France, under French law, architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity.
· Logging: who asked what, when, and what the system produced.
And the rule that applies to everything leaving the CCAS: I announce without ever detailing. A message, an appointment reminder, an acknowledgement say that something is under way — they never name the reason for an application or any element of a person's situation. That holds across the 5,400 enquiries of the year, and it can be checked line by line in the outgoing log.
The act that stays with a public officer, and it is what gives the whole chain its value: the social assessment and the decision to award belong to the social worker and to the committeeand I hand it to them in minutes, on a complete, costed, reasoned and dated file. A decision that explains itself is a decision that holds before the resident as before the public accountant.
The figure that sums all this up: 0 household data leaving the CCAS network across the 1,731 outputs of the year, and processing in the EU targeted.
What I propose: that I keep up to date the record your board and your data protection officer will ask for — hosting, data processed, retention periods, who accesses what. It is requested once a year and takes two days to reconstruct; the first version is already written and attached. technical-framework_where-household-situations-live.pdfLocal inference, read-only, processing in the EU targeted
✎ Framework · deployment architecture, technical account permissions, first version of the processing record
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 local welfare centre

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

Included in your agent The 7 capabilities essential to this promise are included, at no extra cost.
From 1,050 € incl. VAT / month

Pre-assessment of applications for help

Checking the documents and the income conditions, summarising the files for the social assessment.

Panel files

Reports and notes prepared for the awarding panel, factual and with no prioritisation.

Reply letters

Writing the letters to applicants from your templates, ready for review and signature.

Emergency help

Accelerated preparation of emergency help files, for a faster human response.

Directing people to the schemes

Identifying the schemes suited to each situation (statutory help, discretionary help, partners) and directing people.

Answering users

Answer everyday questions (help available, documents, drop-in hours) and direct people to the right person.

Appointment booking

Schedule appointments and social drop-in sessions, taking account of the emergencies flagged.

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 welfare centre win back?

By automating pre-assessment, summaries and letters, a centre can aim for a clear reduction in administrative time — reinvested in the social assessment and in supporting people.

Pre-assessment of an application for discretionary help
Today · done by hand
Prepared by the agent, to approve
A reply letter to an applicant
Today · done by hand
Near-instant
Preparing a complete panel 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

A social welfare agent (pre-assessment of help, panel files, letters), installed and operated for you. Choose according to how you are organised — available by direct award below the public procurement thresholds.

Agility

Setup + controlled subscription

12,360 € incl. VAT setup
then 1,050 € 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

1,735 € 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

17,456 € incl. VAT setup
then 1,310 € 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 local welfare centre

Social circumstances never leave the centreLocal inference or an isolated resource hosted in France; no data entrusted to a foreign third party.
Data in France, under French lawFor social circumstances: hosting under French law, native minimisation, architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity.
The social worker keeps the decisionThe agent prepares summaries, notes and letters that can be checked; no help is awarded automatically.
Human oversight & traceabilityFull traceability for the pre-assessment of applications: monitoring, updates and logging compliant with the AI Act.
Frequently asked questions

Your questions, our answers

Does the agent decide on the help?
No: it prepares and summarises; the social assessment and the decision to award stay human.
Are sensitive social circumstances protected?
Yes: hosting in France, an isolated resource, data minimisation and logging. GDPR: governed deployment.
Does the agent award the help?
No: it assesses and prepares the decision; the award remains that of the officer or the centre's panel.
Are sensitive situations protected?
Yes: data hosted in France, access recorded, and for the most sensitive cases the agent relies on local inference with no external call.
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 and handing over to your teams.
Do we need a technical team in-house?
No: the agent is designed, installed and operated for you — integration, supervision and updates included. Your teams concentrate on their work, with guided familiarisation.
Do we have to change software?
No. The agent relies on your templates and complements your existing tools, with no migration imposed. We adapt the integration to your environment.
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: a user has no account to create and no application to install. Social situations are strictly confidential: the agent gives information on support schemes, documents and drop-in hours without ever writing down the reason for a request, and the assessment stays with the social worker. 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 centre

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