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● Public sector — Family benefits caseworker

AI agent for the family benefits caseworker

An assistant that pre-assesses benefit claims, checks the documents and prepares the replies to claimants — the caseworker approves every entitlement opened. Hosted in France, on a resource isolated for each organisation. GDPR & AI Act: governed deployment: the AI agent assists, the caseworker decides.

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

Updated on

Deployed in a few weeks
Family benefits assistant · hosted in France
Check whether this in-work benefit claim filed yesterday is complete.
File analysed. Documents present: quarterly income declaration, payslips, bank details. Missing: the tax assessment and proof of address less than three months old. The income declared is consistent with the payslips supplied.
I am preparing the request for the additional documents.
⛓ Source · the documents in the file + the conditions for the benefit
A claimant is disputing an overpayment of housing benefit. Prepare a draft reply.
Draft reply ready. A reminder of the reason for the overpayment (a change of circumstances declared late), the periods concerned, the routes of appeal and the possibility of asking for a write-off or instalments. The points to check before sending are highlighted.
No decision is taken on the file.
✎ Action · letter ready for review — the caseworker 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 caseworker decidesThe AI agent assists, it never opens an entitlement
✦ In brief

In a family benefits fund, a Blue Lemon Agent agent assists the caseworker with the repetitive tasks — pre-assessment of claims, checking documents and income, letters and notifications to claimants — and flags inconsistencies to check before handling. It runs on local inference or is hosted in France on a resource dedicated to and isolated for each organisation: families' data is never exposed to a foreign service, architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity. Opening or revising an entitlement remains an act of the caseworker; the time won back goes to complex situations and supporting families. Live within a few weeks. Your public-sector staff write to it from Microsoft Teams, Slack or their email, and benefit recipients 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 family benefits funds — and why they hesitate

In-trays overflowing at every declaration deadline, families waiting for their entitlements to open, documents to check one by one: the caseworker handles some of the most sensitive data there is every day — income, household composition, social circumstances.

! The issue

The caseworker is caught between claimants waiting for their entitlements to open quickly — income support, housing benefit, in-work benefit — and a flow of files, documents and declarations that keeps growing. Yet most consumer AI tools would amount to entrusting claimants' income, household composition and social circumstances to a third party, often hosted outside Europe and subject to the Cloud Act.

Our answer

For social data, 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, opening entitlements reserved to the caseworker: the time saved on checking documents is never paid for in lost confidentiality, nor in unequal treatment. The aim is not to replace the caseworker, but to give them back time for complex situations.

The decisive point

Protecting claimants' data: sovereignty & compliance

A family benefits fund handles the income and family life of millions of households. Here is how the architecture of our agents protects it, organisation by organisation.

Local inference

The agent can run on a machine at the organisation: 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 — claimants' data: 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 families' data: our architecture depends on a subcontracting chain and remote access documented for the configuration chosen.

One isolated resource per organisation

No pooling of data: an environment strictly dedicated to your fund, 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 entitlement is opened or revised 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

Val-d'Aubrac family benefits office — a fictional mid-sized public body

Activity
Paying family and social benefits — income support, housing benefit, in-work benefit, family allowances
Headcount
210 staff, including 96 caseworkers, 12 in the mail service and 8 in the checking unit; the AI agent is connected to the caseworkers' perimeter only
People served
118,000 claimant households, of which 14,200 on income support and 26,500 on the in-work benefit
Volume
4,200 documents filed a week, 2,400 completeness checks and 3,100 letters a month, 640 first income support claims a month
Tools in place
The benefits information system, the document management system, the letter tool, the online services portal and the switchboard — the agent plugs into them, nothing is replaced
Who decides
The caseworker signs off every grant, revision or refusal of entitlement; the head of the benefits department sets the checking rules; the public accountant keeps the recovery of overpayments
Room for improvement
21 days average on a first in-work benefit claim, against a 15-day service commitment; 31% of files go back out as a request for documents; 2,900 contacts a month simply to ask where a file stands

The Val-d'Aubrac office is not trying to process more files with fewer staff: it is trying to keep the service commitment it made to families and to return its caseworkers to the situations that call for professional judgement. The agent runs on an isolated resource hosted in France, dedicated to this body, and plugs into the benefits information system, the document management system and the letter tool in a supporting role. It analyses, it writes, it puts figures on the table and it carries out what has been decided; a public officer's sign-off stays on every act that touches a family. The exchanges below cover one quarter, from the first queue to the review.

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.

Family benefits assistant · hosted in France
I went back over the 2,400 completeness checks of the month. And I found why one file in three goes back out as a request for documents — it is not the reason your caseworkers assumed.
A completeness check verifies that a claim carries every document the benefit requires, before a caseworker assesses it.
The gap, and it is the gap that decides the gain: of the 744 files that went back out as a request for documents last month — 31% of the queue — the breakdown is this:
· 470 concerned a document the claimant had ALREADY filed, in another claim or under a different file name. Six requests in ten were about a document the office already held.
· 168 concerned a genuinely missing document.
· 106 concerned an unreadable document — a cropped photograph, a scan too dark.
What that costs a family: a request for documents adds on average 11 days of waiting before the entitlement is granted. 470 avoidable requests means that many families waiting for no reason.
The rule is written, and I have already run it over your own history: before any request goes out, match the claim against every document already filed by the household, whatever its name or the claim it came from. Over the last twelve months — 28,800 files — it would have avoided 5,640 requests and given families back 62,000 days of waiting. The request rate falls from 31% to 12%, from 744 files to 288.
And the check itself: 18 minutes per file yesterday, 3 minutes of review today — 60% of the processing time brought down to 10%, that is 600 hours a month returned to your caseworkers.
It fits in one sentence, in the form of your own framework: the head of the benefits department signs it, and it applies to the 2,400 files in the queue this evening. That signature is what makes it enforceable — and what will let a family challenge it. completeness-queue_2400-files-analysed.pdf744 requests, 470 of them for a document already held
⛓ Sourced · queue of the month, household document management system, twelve months of document requests
And the 168 genuinely missing documents? Our requests often go out a week after the filing.
They go out the same day, and they ask only for what is genuinely missing. The 168 draft letters are written, one per file.
What each request contains, and why:
· The exact list of missing documents, named as the claimant knows them — “your 2025 tax assessment”, not “supporting income document no. 4”.
· The reason for the request, in one sentence: what the document is for in assessing the entitlement. A request with no reason produces a phone call; a request with a reason produces a filing.
· The three ways to file — portal, front desk, post — and the date the document is expected.
· What has already arrived, listed too: the claimant sees what they have done, not only what is missing.
The delay this shifts: your requests went out on average six days after the filing; they now go out the same day. On a first in-work benefit claim, that is six days taken off the 21-day average, against a 15-day service commitment.
The mandate I propose for what follows, and it is bounded three ways: I send out the requests built from your templates and I schedule a reminder at day 10 if nothing arrives — capped to requests for documents alone, dated until 31/12 with a review at expiry, withdrawable in a word and with no reason to give. Any response from the claimant stops the reminder, including a call to the switchboard: nobody gets chased for a document they have just filed.
And closure, which is the act that matters: 14 files passed day 30 with no response. They are on the caseworker's desk this morning, with the full history of reminders and the draft closure letter already reasoned. Their signature closes the file in one minute instead of a quarter of an hour — and it is that signature that makes the closure dated, reasoned and open to challenge by the family. document-request_template-and-168-files.pdfWhat is missing, why, and how to file it
⛓ Sourced · documents required per benefit, the office's letter templates, filing and reminder log
Who decides a file is complete? Because that is where everything starts.
The caseworker signs, and I hand them the file ready to sign in three minutes instead of eighteen. Across the month's 2,400 files, 2,400 sign-offs.
What they have in front of them, one page per file:
· Every required document, and against it the document found, its filing date and the claim it came from.
· The rule applied, quoted from your internal reference framework with its version — the text of your own document, never a rewording of mine.
· The points to reconcile, when two documents say two different things.
What that sign-off gets you, and it is measurable: a completeness decision signed by a public officer is reasoned, dated, traced and open to challenge — a claimant can have it reviewed, and that protects the family as much as the office. And it takes three minutes to give: the reasoned decision arrives in minutes where it used to take weeks.
What I have written on top, and nobody has the time to write: 37 files this month run into two rules of your framework that contradict each other — shared custody arrangements, for the most part. I have drafted both possible readings, each in one sentence and in the form of your own rules, and run them over the 444 shared-custody files of the last twelve months:
· Reading A — the child is in the care of the declared residence: 214 households open the entitlement, 230 do not.
· Reading B — care is shared in proportion to overnight stays: 96 households open the entitlement in full, 348 at a shared rate.
The gap between the two readings covers 118 families a year. Today that gap is settled file by file, depending on which caseworker opens it — and that is exactly what produces different treatment for two families in the same situation.
What I suggest: 90 minutes with the head of the benefits department, both readings on the table with their figures. They sign one, I apply it to the 37 waiting files the same day and to every file that follows. A contradiction settled once holds for the year's 444 files.
⛓ Sourced · the office's internal reference framework, sign-off log, 444 shared-custody files over twelve months
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 for the family benefits caseworker

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

Included in your agent The 6 capabilities essential to this promise are included, at no extra cost.
From 1,020 € incl. VAT / month

Pre-assessment of applications

Checking documents and income conditions, flagging discrepancies before the caseworker's decision.

Letters & notifications

Writing the letters and notifications to claimants from your templates, ready for review.

Spotting anomalies

Detection of anomalies and inconsistencies to check before handling, with no automated decision.

Completeness checks

Checking income support, housing benefit and in-work benefit files, with a list of the missing documents to request. The request for a document can be announced by text message, without ever naming the benefit.

Declaration inconsistencies

Reconciling declarations and documents to flag what needs to be compared before a decision.

Information for claimants

Answer everyday questions (entitlements, procedures, documents) and direct people to the right service, 24/7.

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
The gain

How much time can a family benefits caseworker win back?

By automating the checking of documents, the letters and the spotting of anomalies, a fund can aim for a clear reduction in time spent on repetitive tasks — reinvested in handling complex situations.

Checking the completeness of a file
Today · done by hand
Prepared by the agent, to approve
A notification letter to a claimant
Today · done by hand
Near-instant
Full pre-assessment of an income support 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 benefits agent (pre-assessment, checking documents, letters to claimants), 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

11,605 € incl. VAT setup
then 1,020 € 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

1,665 € 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

16,586 € incl. VAT setup
then 1,280 € 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 family benefits fund

Families' data never leaves the organisationLocal inference or an isolated resource hosted in France; no data entrusted to a foreign third party.
Data in France, under French lawExposure of families' data to the Cloud Act and FISA 702 is reduced by design, that data being located and minimised in France; location alone does not guarantee immunity.
The caseworker keeps the decisionThe AI agent prepares checks, letters and summaries that can be verified; no entitlement is opened automatically.
Human oversight & traceabilityPre-assessment of claims: monitoring, updates and logging, compliant with the requirements of the AI Act.
Frequently asked questions

Your questions, our answers

Does the agent open entitlements automatically?
No: it prepares and checks; opening or revising an entitlement remains a caseworker's decision, with no automation of decisions affecting claimants.
How is families' data protected?
Hosting in France, a resource isolated for each organisation, encryption and logging. GDPR: governed deployment.
Does the agent decide whether an entitlement is opened?
No: it pre-assesses and prepares the decision; granting or refusing a benefit remains an act of the caseworker, in line with the AI Act.
Does it handle overpayments?
It spots the situations to be examined and prepares the notification letters, but recovery and write-offs are a matter for the caseworker.
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 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 benefit recipients use to reach the agent?
The ones they already have. The agent answers on WhatsApp Business, the website chat and email: a benefit recipient has no account to create and no application to install. Because family data is sensitive, the agent announces without detailing: it signals that a document is missing from the file without ever naming the benefit or the situation. 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, and the gateway bills the text messages sent — are passed on at actual cost, with no margin, outside the subscription.
Can the agent notify claimants by text message?
Yes, as an option — and it is the channel that reaches the people the others never do. A text message arrives on an ordinary phone: no email address, no account, no app, no data plan and no smartphone. Telling claimants by text message that a document is missing from their file, before an entitlement lapses means fewer entitlements going unclaimed and more equal access to the service. It is an outbound notification channel, not a conversation channel: users do not write to the agent there — they reach you on WhatsApp Business, the website chat or email. The message announces without detailing — never the reason, never the detail of the situation — and never contains a payment link, a login or a password: users reach the service the way they usually do. Delivery goes through a gateway established in the European Union; the messages sent are passed on at actual cost, with no margin, and the channel itself is an optional module, set out on the pricing page.
Let's talk

Let's size up the potential in your fund

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