AI for healthcare organisations

Less time on paperwork. Nothing that touches care.

Letters, appointments, filing, follow-ups: an assistant takes on the non-clinical administrative and document work, and stops at the edge of care.

Tell us about your organisation

scope · administrative assistantExample

What the agent can assist with

in scope : Administrative letters
in scope : Booking and confirming appointments
in scope : Filing documents
in scope : Administrative reports
in scope : Follow-ups and reminders

What is not its business

out of scope : Diagnosis
out of scope : Prescription
out of scope : Care decisions
out of scope : Reading test results
out of scope : Clinical contact with the patient

The exact split is set during framing, with your organisation. What appears on the right is not part of a project's scope, and the system is configured to stop there.

Clinical time is scarce, and the administrative share keeps growing: letters, reports, follow-ups, filing. AI can take on this repetitive, documented work — provided the data and hosting arrangements are set out precisely with your organisation. The use cases cover non-clinical administrative and document tasks.

In practice, AI can draft an administrative letter, structure a report, answer patients' recurring administrative questions or organise the documents in a file. Every document is read and approved by a professional before it goes out.

We build these systems end to end for French healthcare organisations, with confidentiality as the starting constraint. Together with your organisation we define the architecture, the hosting, the data flows, the services and the controls, according to the data processed and the obligations that apply. Tell us about your organisation in a first conversation.

Where AI steps in

Around care, never inside it

An agent does not replace a step: it prepares the next one and hands back. The last column is the one that matters most.

Patient or member of the public

Booking an appointment
calls, forms, emails
Agent
Offers the available slots and prepares the confirmation
appointment awaiting confirmation
Humain
Reception confirms
Administrative file
certificates, funding approvals
Agent
Files the administrative documents received
list of missing documents
Humain
Reception follows up
Letters
administrative, non-clinical
Agent
Formats a letter from your templates
a draft, never sent on its own
Humain
The professional reads and approves
Consultation and care
examination, decision, prescription
No agent here, and the line is sharp: diagnosis, prescription and care decisions are not its business.

What it changes, role by role

Head of a healthcare organisation: Practice, clinic or association: you want to cut the administrative load without taking a risk on data. We frame the scope and the controls with you, ruling out any processing you have not approved.
Administrative or reception manager: You handle the letters, the appointments and the files: AI can prepare the documents and the follow-ups, while approval and the patient relationship stay human.
Healthcare professional: You want to spend more time with patients than on formalities: AI can take on the non-clinical administrative and document work, under your control.

Three scenarios

Named the way you name them

Nobody goes looking for “document summarisation”. They go looking for a way to stop ending the day on a pile of letters.

Scenario 01

Preparing administrative letters

A stack of letters of the same kind is waiting
The agent finds the template and the administrative details it needsthe agent takes over
It formats a first draft, with no care data
It flags what is missing rather than assuming it
The professional reads, corrects and signsyou take back the reins

Today: The stack grows and gets handled at the end of the day, when tiredness has set in.
With an agent: Drafts ready to read, and a review that becomes a check.

Scenario 02

Keeping appointments and follow-ups on track

Slots free up, others stay unconfirmed
The agent spots the appointments to confirm and the follow-ups duethe agent takes over
It prepares the messages according to the rules you set
It sends nothing on its own: it builds a queue to approve
Reception approves in one passyou take back the reins

Today: Follow-ups happen when someone remembers, and lost slots are never recovered.
With an agent: A follow-up queue ready each morning, approved in one go.

Scenario 03

Filing an administrative record

Documents arrive by email, by post, by upload
The agent names and files them according to your filing planthe agent takes over
It sets duplicates aside
It lists the administrative documents that are missing
Reception completes the file and closes ityou take back the reins

Today: Filing gets put off, and the information is dug out by hand when it is needed.
With an agent: A file kept in order as it goes, and a short list of what is missing.

The other tasks we keep seeing

Use cases worth examining, for non-clinical tasks.

Administrative load: Automating the letters, reports and administrative documents that eat into clinical time.
Document summarisation: Summarising and organising long documents, to find the useful information faster.
Reception & signposting: Assistants that help answer the recurring administrative questions of patients and the public.
Drafting support: First drafts of non-clinical documents, read and approved by the professionals.
Letters and reports: Turning notes into administrative letters and structured reports, from your templates and subject to your approval.
Appointments and follow-ups: Preparing slots, sending confirmations and administrative follow-ups, according to the rules you set.
Architecture and hosting: Architecture and hosting are defined with your organisation, according to the data processed and the obligations that apply.
Flows and controls: Data flows, services and controls are defined with your organisation for the project chosen.

What bounds the assistant

Data does not move without a frame.

Two tables, and they read together: what the assistant is allowed to do before it starts, and what it did once it has finished. The third column holds nothing but refusals.

Before — what is allowed

Each tool gets the rights the task needs, and not one more.

Example permissions granted to an agent, tool by tool.
Calendar	Administrative documents	Care record
allowed : read the slots	allowed : read	denied : read
allowed : prepare a proposal	allowed : file and format	denied : write
denied : confirm on its own	denied : delete	denied : share

Example. The actual split is decided during framing, tool by tool, and access can be revoked.

After — what it did

Every document touched leaves a line.

08:30:02today's letters listed
08:30:05letter template found
08:30:07first draft prepared
08:30:07no access to the care record
08:30:08approval requested
awaiting the professional's approval

An example. The real scope is set during framing, with your organisation, according to the data processed and the obligations that apply.

Your first assistant

Where an organisation would start

A first scope is chosen small: one type of letter, its templates, a measurement after thirty days.

first project · administrative lettersExample

Administrative letters and follow-ups of a single type

What the agent covers

vérifié : Formatting from your own templates
vérifié : Administrative details taken from the file
vérifié : A follow-up queue prepared every morning
vérifié : Missing administrative documents listed
exclu : Access to the care record

What it needs from you

your letter templates
your follow-up rules
a month of letters already handled

What stays with you

reading and signing
the relationship with the patient
anything that touches care

What we look at after thirty days: how many letters go out the same day, and how much time the review still takes.

estimate · letters per monthYour figures

Administrative letters per month

letters / month

Average time to prepare one letter

minutes

Time consumed today

≈ 20 hper month

This total is yours: it only comes from the two figures alongside. Only part of this time can be automated — we look at the volume, how stable the process is, the exceptions and the data available before saying so.

Get this process reviewed

How a project runs

Four steps, from framing to measurement

We move in stages, to check the value and the data arrangements before investing in a rollout.

01
Frame
- The tasks to support, the data involved, the hosting considered and the obligations that apply. You leave with an explicit scope and explicit success criteria.
02
Test
- A first assistant on the chosen case, on real data and within a bounded pilot. You adjust its behaviour with us.
03
Deploy
- Integration with your tools, the hosting, the controls, the documented data flows and the supervision agreed during framing.
04
Measure
- The gap against the success criteria, reviewed with your team. You decide on scope extensions, one step at a time.

Frequently asked questions

Framework, data and rollout

Straight answers on what AI can do inside a healthcare organisation, and under what conditions.

Is AI allowed in the healthcare sector?: Yes, within a precise framework. Our use cases cover non-clinical administrative and document tasks. The architecture, the hosting, the data flows and the controls are defined with your organisation, according to the data processed and the obligations that apply.
Is this use case really worth automating?: Not always, and we say so when it is not. We check the volume, the time it consumes, how stable the process is, how many exceptions it has and what data exists before proposing an agent. A rare task, or one full of special cases, costs more to automate than to do.
Can the data be hosted inside the organisation?: Yes. Depending on how sensitive the data is and on your obligations, the architecture can be local, hybrid or cloud, with hosts you approve. The choice is made during framing and every flow is documented.
Does the AI touch medical data?: Our scope covers non-clinical administrative and document tasks. If a project were to involve health data, we would define with your organisation the obligations that apply, the hosting chosen and the controls — nothing processed by default.
Which tasks should be automated first?: The best first cases are repetitive, well-documented tasks: administrative letters, reports, follow-ups, filing. A pilot bounded to one or two tasks lets you check the value before widening the scope.
How is patient data kept confidential?: Through architecture decisions, not promises: hosting chosen with you, minimal permissions, documented data flows and a log of every action. All of it can be checked and audited at any time.

Let's talk about your confidentiality constraints

Every healthcare organisation has its own requirements. Let's go through yours, and what can be automated within them.

Book a call

To go further

Other formats complement this offer, depending on where you're starting from.

Less time on paperwork. Nothing that touches care.

Around care, never inside it

What it changes, role by role

Named the way you name them

Preparing administrative letters

Keeping appointments and follow-ups on track

Filing an administrative record

The other tasks we keep seeing

Data does not move without a frame.

Before — what is allowed

After — what it did

Where an organisation would start

Four steps, from framing to measurement

Frame

Test

Deploy

Measure

Framework, data and rollout

Let's talk about your confidentiality constraints

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