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Clear the CNAM backlog without adding back-office staff

CNAM reimbursement now takes more than four months. We deploy AI agents that assemble and check your files, prepare your electronic invoicing and leave an audit trail on every step, so nothing on your side adds to the wait. Human in the loop, patient data in Tunisia.

Built for your use case · Deployed in your infrastructure · Under your governance

A clinic treats first and gets paid months later, so every incomplete file is cash you have already earned and cannot use. And here an AI system that is almost right is not a productivity problem, it is a confidentiality one: article 63 of loi organique 2004-63 reserves health data processing to doctors and to people bound by professional secrecy. We design inside that rule, not around it.

Challenges in Your Industry

The problems we solve every day for organizations like yours.

The wait for reimbursement now exceeds four months

As of July 2026 the CNAM wait passes four months, while the profession is asking for 60 days. A clinic pays salaries, suppliers and equipment out of cash it has already earned. The part you control is your side of the file: complete on the first pass, submitted on time, followed up without depending on someone remembering to chase it.

Electronic invoicing adds a layer, not a saving

The 2026 finance law pushes private practice toward electronic invoicing, and the Conseil national de l'Ordre des médecins calls the system « trop complexe et opaque », asking for monthly declarations rather than real time because of daily workload. The obligation is real. The hours it costs your staff are optional.

Software that ends in a printout

A doctor built an application to digitize health-sector requests. When he filed one through it, the administration printed the electronic request, filed it on paper and closed the case on the app. Months later he still had no answer. A tool that does not change how the work actually moves changes nothing. We start from the workflow, not the app.

Your records are fragmented, and the national file is coming

Patient history sits across your practice software, paper at reception, laboratory results and correspondence. The ministry is generalizing the Identifiant National de Santé across public structures first, with private clinics and laboratories named as the next step. Facilitating that costs less while you are choosing an architecture than after.

We work inside medical secrecy, not beside it

Health data is not ordinary personal data, and the profession is actively defending that distinction. These are the rules we build against, in the wording they are written in.

Loi organique n° 2004-63 · article 63

Only doctors and people bound by professional secrecy may process health data, and sharing it for research requires an express INPDP authorization, decided within one month. We build so the agents work on the administrative layer around the file, and clinicians keep ownership of the clinical content. Where that authorization covers research, we prepare the release so it cannot be re-identified: direct identifiers removed, the remaining fields checked so no combination narrows to one patient, and differential privacy where the analysis calls for it.

Medical secrecy by design

The Ordre des médecins told parliament its main concern is the compatibility between digital platforms and professional secrecy, including storage shared between the public and private sectors. We deploy inside your perimeter, with encryption and a traceable trail on every access.

INPDP

The Instance Nationale de Protection des Données à Caractère Personnel has published guidance specific to health establishments, doctors and pharmacists. Our documentation is written to answer it: which data, for what purpose, kept how long, accessible to whom.

Identifiant National de Santé

The ministry is generalizing the INS and preparing to extend the citizen portal Sahetna.tn to private clinics and laboratories. We build so that your patient file is ready for that integration rather than rebuilt for it.

Use Cases

Concrete applications that deliver measurable outcomes.

CNAM file preparation and follow-up

Assemble complete files from your practice software, coding and supporting documents, submit them, and track what is outstanding so nothing waits on someone remembering to chase it.

Electronic invoicing and tax compliance

Prepare and check invoices against the 2026 requirements, with monthly consolidation for practices that cannot invoice in real time.

Clinical document structuring

Turn referral letters, discharge summaries and operative reports into structured records that reach the right caregiver faster.

Patient intake, appointments and reminders

Handle appointment, preparation and follow-up questions around the clock, across your sites, with clear escalation to your medical staff for anything clinical.

How Our Capabilities Apply

Our core solutions tailored to the requirements of your sector.

AI Chatbots & Virtual Assistants

Patient-facing assistants with the tone, availability and escalation discipline that healthcare demands.

  • Deployment on your patient portal and messaging channels
  • Integration with your scheduling and records systems
  • Clear escalation to clinical staff for medical questions
  • Data handling aligned with medical secrecy
AI Process Automation

Automate the administrative chain that slows payment down, with human oversight at every clinically relevant step.

  • CNAM file assembly, checking and submission
  • Electronic invoicing preparation and monthly consolidation
  • Appointment and resource scheduling across sites
  • Traceable, auditable process execution
Custom AI Systems Engineering

Systems engineered against your clinical safety and data protection requirements, deployed in your own infrastructure.

  • Architecture reviewed against article 63 and INPDP guidance
  • Deployment within your secure infrastructure
  • Continuous monitoring with documented model behaviour
  • Handover documentation your teams can own
  • Personal data detected, masked or pseudonymized before anything is stored or indexed

What your medical council and your management will ask

Where does patient data live?

In your perimeter, or in infrastructure you control, in Tunisia. We do not train models on your patient data, and nothing leaves the framework of loi organique n° 2004-63. Direct identifiers are detected and masked before anything is stored or indexed.

Can an AI system touch health data at all?

Article 63 reserves processing to doctors and to people bound by professional secrecy. Our agents work on the administrative layer around the file, under the responsibility of your practitioners, and every clinical decision stays with a human. Anything ambiguous or sensitive escalates.

Will this hold up with the Ordre and with our patients?

The Ordre's stated objection is platform compatibility with medical secrecy, not the principle of the tools. So we deploy inside your infrastructure, encrypt at rest and in transit, and log every access, which lets you answer a patient or an inspector with evidence rather than good intentions.

Do we have to replace our practice software?

No. We connect to what you already run, your billing included, through documented and logged interfaces. No migration, no replacement.

What happens when it gets something wrong?

Doubtful or rejected files are flagged for a human instead of being submitted. Thresholds are set with you, a model can be pulled from the flow without stopping it, and every action is traceable.

Tell us where your CNAM files stall

We will map the steps between the care you deliver and the money you collect, and show you which of them an agent can take over.

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