Scheduling Agent
Books, reschedules and confirms appointments and exams directly in the clinic's calendar, 24/7.
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Solutions by sector
AI Agents for Healthcare and Clinics
Reduce no-shows with active confirmation, book appointments and exams without phone queues and keep patients engaged — with AI agents that respect privacy and LGPD.
The pains holding your operation back
High no-show rates: patients forget appointments and the schedule ends up with gaps no one can fill in time.
Phone lines jammed with booking, rescheduling and confirmation calls — while the front desk has no time for in-person patients.
Exam preparation instructions and pre-visit guidance sent manually, with errors and omissions.
No post-visit follow-up and no reactivation of patients who drifted away.
How SON.IA can operate
Active appointment confirmation with rescheduling inside the conversation — the schedule rebuilds itself when someone cancels.
Booking and rescheduling via WhatsApp and voice, integrated with your scheduling system, no phone queue.
Automatic delivery of exam prep and instructions, with read confirmation and instant Q&A.
Post-visit follow-up, return reminders and reactivation of inactive patients, all with an auditable trail.
These are application references. Execution depends on the validated process, available data, permissions and integrations enabled for the project.
Operational AI for the industry
From conversation to action, with governance and human participation
SON.IA connects communication, knowledge and processes in a continuous journey. The final design is validated with your team before going live.
- 01
Understands context
Organizes intent, history and authorized data from the interaction.
- 02
Applies rules and knowledge
Consults approved content and follows the limits defined for each scenario.
- 03
Executes the next action
When configured, triggers workflows or native apps and records progress.
- 04
Hands off to a person
Sensitive cases, exceptions or critical decisions go to the team with context.
Scope, permissions, records and handoff criteria are defined during implementation. No example represents a guaranteed result for every operation.
AI agents that can compose the scenario
Anti no-show Agent
Confirms attendance at the right time and fills open slots from the waiting list.
Guidance Agent
Sends exam prep and pre/post-visit instructions, answering questions on the spot.
Relationship Agent
Return reminders, prevention campaigns and reactivation of inactive patients.
Use cases to validate
- Appointment confirmation and rescheduling
- Exam booking with prep instructions
- Smart waiting list for open slots
- Return and prevention reminders
- Post-visit satisfaction survey (NPS)
- Initial triage with handoff to the front desk
Illustrative scenario
Without automation
Clinic with high no-show rates, jammed phone lines and an overloaded front desk.
Illustrative scenario
With SON.IA
Active confirmation reduces no-shows, bookings happen via WhatsApp and voice, and the waiting list fills open slots automatically.
Governance applied to the workflow
Implementation can combine agent scope, permissions, interaction history, business rules and human handoff criteria. Data handling and applicable controls must be configured according to the process, industry and company obligations.
Content to go deeper
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Frequently asked questions
How does SON.IA handle patient data (LGPD)?
The implementation should define authorized sources, permissions, records, retention, and human intervention points according to the clinic's process. Available controls must be validated in scope and do not replace the institution's legal or security assessment.
Does Sonia integrate with my scheduling system?
Yes. The platform connects to the ecosystem the clinic already uses — scheduling and management systems — to book, reschedule and confirm in real time.
Can patients talk by audio?
Yes. Sonia understands and replies in text, audio and voice (including telephony), with natural voices and regional accents — ideal for audiences who prefer speaking over typing.
What about sensitive or urgent cases?
Escalation rules define when the conversation goes straight to a human — by keyword, detected intent or patient request — with full context preserved.