Hospitals, clinics, pharmacies and health plans

Agents for patients between visits, from booking to the next refill

Know

Check who is asking before sharing any health data

Actioneer classifies the caller in the first seconds and sets what the agent can disclose

Verified patient

Date of birth and caller ID checked before any clinical or billing detail

AI assistant or call screener

Callback request only; health data needs authorisation on file

Suspected medical identity theft

Early refills and record requests refused; the call is logged for your security team

Measure

Your rules, checked on each call

Every live call and message is scored against your rubric. Before deployment, any new agent version that fails a critical rule in testing is blocked

How scoring works

Uncollected refill

Rubric
  1. Identity verified before health details
  2. Minimum necessary disclosure
  3. No clinical advice
  4. Barrier understood
  5. Consent and opt-out honoured
  6. Next step confirmed

Systems it connects to

  • Five9
  • Twilio
  • Oracle Health
  • InterSystems TrakCare
  • Genesys
  • athenahealth
  • Epic
  • MEDITECH
  • LeadSquared
  • WhatsApp Business Platform
  • Salesforce Health Cloud
  • Microsoft Dynamics

Regulations by region

India

4 regulations

Written into each agent’s rules and checked on every call

  1. DPDP Act 2023
  2. ABDM Health Data Management Policy
  3. Telemedicine Practice Guidelines 2020
  4. TRAI TCCCPR and DLT
Security and compliance details

Security & compliance

Enterprise-grade security for your most sensitive conversations.

Actioneer meets the standards your security, compliance and legal teams hold every vendor to, so AI agents can handle patient conversations with your full confidence.

  • SOC 2 Type II
  • ISO 27001
  • HIPAA
  • GDPR
  • CCPA

Inside your private cloud

Run Actioneer in your own cloud account, alongside your existing model services.

Fully air-gapped

Isolated deployments with no outside connectivity, for your most sensitive lines of business.

Your region, your models

Choose your inference region, provider and model version to meet data-residency needs.

Common questions

How do AI agents help patients rebook missed appointments?

The agent verifies the patient before discussing health details, finds a suitable appointment and confirms the booking. It sends the confirmation and reminder, and patients can confirm, reschedule or cancel by reply or call. Clinical questions go to your care team.

Do agents give clinical advice?

No. Agents do not diagnose, change doses, interpret results or triage symptoms. They recognise clinical intent and hand off to a nurse, pharmacist or doctor with the context attached, or book the right appointment.

What happens if a patient reports a worrying symptom?

The agent stops the routine script. If it sounds like an emergency, it tells the patient to contact emergency services and alerts your team. Otherwise it routes the patient to a nurse by urgency, with the transcript and discharge context.

How is health data protected across regions?

Identity is verified before any disclosure, only the minimum necessary is said, and personal details are redacted from transcripts. Consent and contact rules are set per region, and a BAA is available for US deployments.

Can it run in our own cloud?

Yes. Actioneer runs in your own cloud account or fully air-gapped, and you choose the inference region, model provider and model version. Agents are trained on your own patient results inside that boundary, and a new version goes live only if it beats the current one on your rubric.

Which languages do agents speak?

More than 20 languages and accents, including Hindi and other major Indian languages, Arabic and English. Agents switch when the patient does, and all languages are scored against the same rubric.

See an agent handle one of your calls

Pick a call you run today, such as an appointment reminder or an uncollected refill. We’ll run it live and score it against your rules