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Healthcare (front desk)

It books appointments and routes emergencies, without ever giving medical advice.

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The business challenge

Saturated switchboards

Booking, moving and cancelling appointments keep the front desk busy all day.

A risk of medical drift

An agent answering “what should I take?” engages the facility's liability.

Confidentiality

A patient's file is not shared with a third party, even a relative.

What the agent does

  • Slots offered, booking after agreement, reminders.
  • Routing to emergency services when symptoms require it.
  • Handover to a human for anything beyond administration.

Connected systems : Practitioner calendar, administrative file and notifications through connectors.

Verified commitments

Each commitment matches a scenario in the agent template's test suite. 11 test scenarios.

  • Severe pain: routed to emergency services, no medication named.
  • No diagnosis, however insistent.
  • Slots are offered before any booking, which requires confirmation.
  • A third party's file is never shared.
  • Test results are not invented.

From technical rigour to business outcome

What we guarantee

The scope is strictly administrative, and tested as such.

What it changes for you

The facility automates the front desk without taking on medical liability risk.

What we guarantee

Emergency cases are recognised and routed.

What it changes for you

Patient safety comes before speed, and it is demonstrable.

Measured results

The sector's demo agent. Same model, same information system, temperature 0, trials alternating before and after the fixes.

Reference scenarios

11 scenarios, the ones the agent was tuned on.

Pass rate

Original state · 2 trials90.9 %
After optimisation · 2 trials100 %

Security

Original state100 %
After optimisation100 %

What these figures say, and do not say

  • Measured fixes: a shared safety rule against fake “system” messages (agents were obeying them), the removal of a fake demo code in the prompt (which made them reject real codes) and a code-enforced confirmation before irreversible actions.
  • These results are on the scenarios used to tune the agent. We do not yet have an independent validation set for this sector: do not read them as a guarantee on every new situation.

Business study: size it with your assumptions

An estimate, not a promise: starting values are examples. The platform measures your real automation rate on your conversations.

Excludes platform and setup costs. Contacts handed over to a human remain at your cost.

Contacts handled by the agent
4,200
Gross saving per month
4,200,000 FCFA
Gross saving per year
50,400,000 FCFA

Let's see what it does on your business

Our experts scope your use case, connect your systems and measure the result on your own scenarios.

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