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● Public sector — Pensions adviser

AI agent for the pensions adviser

An assistant that reconstructs career records, prepares the estimates and drafts the replies to members — the adviser checks and decides every award. Hosted in France, on a resource dedicated to and isolated for each organisation, members' career data never leaves the European Union. The AI agent assists, the adviser decides.

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

Updated on

Deployed in a few weeks
Pensions assistant · hosted in France
Check the career record on this file: the member reports a gap between 1998 and 2001.
Record analysed. 168 quarters identified across the basic and supplementary schemes. Periods to check: 1999–2000, employment declared but not recorded — payslips are in the file; 2001, national service to be validated.
I am preparing the correction request to the scheme concerned.
⛓ Source · the documents in the file + the cross-scheme career record
Prepare an estimate for retiring at 63, and another at the full rate.
Two indicative scenarios ready: retiring at 63 with a reduction, retiring at the full rate, with an estimate for the basic and supplementary schemes and a reminder of the conditions. Explicit note: an indicative, non-binding estimate; only the scheme's official statement is authoritative.
Reply letter to the member ready for review.
✎ Action · indicative estimate ready — the adviser 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 adviser decidesThe agent assists, it never awards alone
✦ In brief

In a pension fund, a Blue Lemon Agent agent assists the adviser with the repetitive tasks — reconstructing career records, indicative estimates, pre-assessment of claims, letters and notifications — and flags missing or inconsistent periods. It runs on local inference or is hosted in France on a resource dedicated to and isolated for each organisation: members' career data is never exposed to a foreign service, architecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity. The adviser checks and decides every award; the time won back goes to supporting members. Live within a few weeks. Your public-sector staff write to it from Microsoft Teams, Slack or their email, and your members 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 pension funds — and why they hesitate

Reconstructing a career, checking quarters, answering members anxious about their future pension: the adviser's work is meticulous and time-consuming, on data among the most sensitive there is — career, income, family situation.

! The issue

The pensions adviser is caught between members who expect quick answers about their future pension and increasingly complex files: fragmented careers, people with several schemes, multiple regimes. Yet most consumer AI tools would amount to entrusting members' career records, income and family situations 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, calculation and award reserved to the adviser: the time saved on pre-assessment is never paid for in lost confidentiality. The aim is not to replace the pensions adviser, but to give them back time for supporting members.

The decisive point

Protecting claimants' data: sovereignty & compliance

A pension fund handles a whole lifetime's career and income. 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

For members' 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 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 award is automated; traceability and human oversight from end to end.

What depends on the architecture chosen These points are not general guarantees: they are settled deployment by deployment, in the quotation.

  • The applicable location is that of the architecture set out in the quotation and verified before commissioning.
  • Local execution is announced only for the configuration explicitly described and accepted in the quotation.
  • The applicable isolation depends on the deployment mode set out in the quotation; no dedicated isolation is presumed.
  • The encryption mechanisms in transit and at rest, their components and key management are those documented for the architecture chosen.
  • Roles and permissions are configured and accepted for the identities and systems actually connected.
  • The events logged, their content, their retention period and who may access them are defined for the deployment chosen.
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

Caisse Ravenel — fictional pension fund, base and supplementary schemes of an occupational regime

Activity
Social protection — awarding and paying base and supplementary pensions for an occupational regime
Headcount
310 staff, of whom 74 in the pensions department: 48 pensions advisers, 12 career-record officers, 8 on telephone reception, 4 managers, 2 regulatory specialists
Public served
212,000 contributing members and 96,000 pensioners — 38% of them belong to several schemes
Volume
9,400 pension claims a year, 41,000 calls from members, 1,260 incomplete career records to reconstruct, 6,400 reply letters
Tools in place
Career-record application, inter-scheme register, document management system with 12 years of archives, outgoing mail tool, appointment diary — the agent connects to them, nothing is replaced
Who decides
The pensions adviser checks and awards every file; the regulatory specialist settles the individual hard cases; the head of the department sets priorities and deadlines
Room for improvement
Reconstructing one incomplete career record takes a full day of an officer's time; a correction request to another scheme comes back in 47 days; 1 pension claim in 6 is put on hold for want of a document

Caisse Ravenel is an organisation invented for this demonstration. It lacks neither competence nor method: it lacks officer hours, and those hours go into hunting for documents and reformatting, not into advising members. The agent runs on local inference on a machine at the fund and connects to the career-record application, the inter-scheme register, the document management system, the mail tool and the diary: it reconstructs, it pre-assesses, it drafts, it flags what must be checked — the adviser checks and awards. The exchanges below cover one year of service, from taking up the backlog to the annual 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.

Pensions assistant · hosted in France
I read your 1,460 files on hold last night. A single cause explains 61% of them, and in 890 of those the missing document was already in your own file.
A career record is the list of periods worked and the quarters they open, scheme by scheme. One missing quarter can push back a retirement date by a whole year.
The gap I measured, and it settles everything else: of your 9,400 annual pension claims, those whose career record is complete on arrival are notified in 39 days; those with a single period to reconstruct take 141 days102 days of difference for one period. It is not the complexity of the calculation that lengthens a file, it is the search for a period — and 38% of your members belong to several schemes, meaning they contributed to more than one over their working life.
What I did without being asked: I cross-checked your career-record application, the inter-scheme register and your 12 years of document management, and I matched 41,200 documents — payslips, certificates, contracts — to the periods they support. I recognise them by their content, never by their file name: a payslip deposited in 2019 is often called scan_0043.pdf.
What the review gives, reason by reason: 891 files turned on a period to reconstruct, 263 on a document never received, 175 on a discrepancy between two schemes, 131 on an individual hard case. The 890 I can unblock are sorted into 9 families of situation — the largest, 412 files, is reviewed on a single criterion: whether the employer and the period match.
What that changes for an officer: reconstructing an incomplete career record took a full day, that is 7 hours; it takes 1 hr 25. Across 1,260 incomplete career records a year, that is 7,000 officer hours given back to the serviceand not one post fewer, not one post more: those hours go back to the members waiting for an appointment.
What I propose, and it is half a day for 890 files unblocked: that your two regulatory specialists review the 9 families rather than the 890 files, and approve them family by family. I then put every new file through the same sieve as it arrives, and the 131 hard cases go straight to the specialist's desk, documents gathered and the precise question already written. files-on-hold_what-the-review-reveals.pdf890 files unblocked, sorted into 9 families of situation
⛓ Sourced · career-record application, inter-scheme register, 12 years of document management, 1,460 files on hold
Take a real case. A member reports a gap between 1998 and 2001, and she wants to retire next year. Where does her file stand this morning?
Reconstructed, period by period, every line with the document that supports it — and the three anomalies are dealt with, two of them without asking the member for anything.
What is established: 168 quarters across the base and supplementary schemes, 4 different schemes over the career. Every quarter points to its source — a scheme's record, a payslip in the file, an employer's certificate — and a quarter without a source is flagged as such and never counted.
The three anomalies, and what I did with them:
· 1999-2000 — activity declared, not recorded. The 18 payslips were already in the file, deposited in 2019 with an earlier claim and never used. The supporting document exists: this is a correction, not an investigation, and the request is written.
· 2001 — national service. The record of service is missing. The letter to the member is ready, with the exact name of the document, the address where to obtain it and the time to allow. It is the only document missing from 97 files in the same familyapprove the template once and it goes out to the other 96 the same day.
· 1998, two quarters — a discrepancy between two schemes. One records 2 quarters, the other 1. I have settled it on the documents: the December 1998 payslip is in the file and it covers the disputed quarter, which proves the scheme recording two right. The correction line is written and quantified — one quarter more and €9 a month of pension — and it enters the record when the adviser signs.
What it is worth to the member, and it is the only measure that counts for her: those 8 quarters, once validated, bring forward her full-rate retirement date by two years and add €74 a month to her pension, for life. A badly reconstructed career record is not an administrative error: it is two years of someone's life.
What I have already written and what awaits a signature: the correction request to the scheme concerned, in your template, with the 18 payslips attached in chronological order and numbered — that order is what saves the other fund three weeks — and the letter telling the member where her file stands and what she does not have to do.
What I propose: that the adviser review the three anomalies — eight minutes — and approve the despatch. I chase the other scheme at 30 days without anyone having to remember, and I place the member in the queue for a support appointment the moment the quarters land: that is when she has a decision to make. career-record-reconstruction_1998-2001.pdf168 quarters, 3 anomalies dealt with, every line with its source
⛓ Sourced · inter-scheme career record, 18 payslips from the document system, records of the 4 schemes concerned
All this assumes you read the career records, incomes and family situations of 300,000 people. Where does that data go?
It does not leave the fund. I run on local inference on a machine belonging to the organisation, and no career record is copied to an outside server.
Local inference means the model computes on your machine: a member's name, income and career periods cross no outside network to be processed. And if you would rather not host a machine, the second route is just as watertight: an isolated resource hosted in France, dedicated to your organisationno pooling with another fund, in memory included, and that is the condition your supervisory authorities look at first.
What that gives, line by line:
· Hosted in France, under French law, and zero data outside the European Unionarchitecture designed to reduce exposure to extraterritorial legislation, location alone not being enough to guarantee immunity, including against a US player hosting in Europe.
· Nothing I read trains any model, neither yours nor a third party's. What I learn from a member serves that member.
· Encryption in transit and at rest, strong authentication for the 74 officers of the department, and role-based accessrights follow the job: a reception officer sees how far a file has progressed, not the income figures; a career-record officer sees the periods in their portfolio; the regulatory specialist sees everything.
· A full log: who consulted what, when, and what was approved.
The figure that makes this concrete rather than theoretical: you receive 62 requests to exercise data rights a year, and each took half a day of officer time to find what the fund holds about a person across five systems. It now takes 20 minutes, and above all the answer is complete: the index knows everywhere the member appears, where a manual search depended on the memory of whoever was searching. An obligation you used to endure becomes an obligation you meet.
And you change no tool: I connect to your career-record application, your inter-scheme register, your document system, your mail tool and your diary. No migration, no extra software for 74 people to learn.
What I propose: that I keep up to date the processing record your data protection officer presents each year — sources, retention periods, who accesses what. It used to take three days to rebuild once a year; it will be accurate at all times, and the day a supervisory authority or a member asks for it, you print it. technical-framework_where-career-records-live.pdfLocal inference, role-based access, processing in the EU targeted
✎ Framework · deployment architecture, access log, register of data-rights requests
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 pensions adviser

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

Included in your agent The 7 capabilities essential to this promise are included, at no extra cost.
From 1,135 € incl. VAT / month

Reconstructing career records

Analysis of the career record from the documents, identification of missing periods and preparation of the corrections.

Indicative pension estimates

Preparation of estimates clearly presented as indicative, with the reply letters to members.

Pre-assessment of applications

Checking the documents and the conditions, alerting on the points to verify before the adviser's decision.

Retirement scenarios

Simulation of several assumptions (age, full rate, increment) on an indicative basis, to inform the member's choice.

Notifications & missing documents

Drafting the notifications and the requests for documents to members and to the schemes concerned. A short reminder can be sent by text message, with the detailed version staying in the letter.

Information for members

Answer everyday questions (retirement age, procedures, documents) and direct people to the right person, 24/7.

Appointment booking

Qualify incoming requests and schedule pension support appointments.

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.

Multichannel administrative information

RAG on procedures; web, phone and front desk; 24/7; multilingual. Sourced answers.

On quote View the agent page
The gain

How much time can a pensions adviser win back?

By automating the reconstruction of career records, the estimates and the letters, a fund can aim for a clear reduction in time spent on repetitive tasks — reinvested in supporting members.

Pre-assessment of a pension claim
Today · done by hand
Prepared by the agent, to approve
Writing a reply letter to a member
Today · done by hand
Near-instant
Reconstructing an incomplete career record
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 pensions agent (career reconstruction, indicative estimates, letters to members), 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

13,975 € incl. VAT setup
then 1,135 € 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

1,915 € 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

19,406 € incl. VAT setup
then 1,400 € 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 pension fund

Members' 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 members' 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 adviser keeps the decisionThe agent prepares estimates, letters and files that can be checked; no award is automated.
Human oversight & traceabilityFull traceability for the reconstruction of career records: monitoring, updates and logging compliant with the AI Act.
Frequently asked questions

Your questions, our answers

Does the agent calculate the final pension?
No: it prepares estimates and pre-assesses the file; the calculation and the award stay approved by the adviser, in line with the AI Act.
Where does the data come from?
From your career management applications and the documents supplied by the member, on a resource hosted in France and isolated for each organisation.
Does the agent handle the supplementary scheme?
It gathers and reconciles the information from the basic and supplementary schemes to prepare the file, but the award is still made by the scheme concerned.
Do the simulations bind the fund?
No: they are indicative estimates, clearly presented as such; only the fund's official statement is authoritative.
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 users use to reach the agent?
The ones they already have. The agent answers on WhatsApp Business, the website chat and email: users have no account to create and no application to install. 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 insured people 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. Reminding insured people by text message of a document awaited or of a pension support appointment 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.