Talkie.ai is unclaimed —

Talkie.ai

AI Medical Receptionist for Better Patient Access·talkie.ai

Talkie.ai is an AI-powered medical receptionist and front-desk agent for medical practices, communicating with patients via phone calls and text. It handles tasks such as appointment scheduling, waitlist management, reminders, patient recall, prescription refills, FAQ automation, and after-hours support, and integrates natively with EHR systems to log and sync patient interactions in real time. The company states it serves over 300,000 unique patients monthly and is specialized for US medical practices across 30+ specialties.

What it's for

Appointment scheduling, rescheduling, and cancellationWaitlist managementAppointment confirmations & remindersPatient recall & outreach campaigns24/7 front desk call answeringNew patient intake and chart creationPrescription refill processingAfter-hours call handling and emergency routingLogging secure patient messages in the EHRAutomated FAQ responsesAdvanced call routing to departments/staffMultilingual patient communication (Spanish and others)

Features 18

24/7 front desk call answering
Advanced call routing
After-hours support with emergency routing
Appointment scheduling, rescheduling, cancellation
Confirmations & reminders
Creating patient cases
FAQ automation based on practice knowledge base
Native EHR integrations (real-time two-way sync)
New patient intake with automatic chart creation
Patient recall & outreach
Phone: inbound & outbound communication
Prescription refill automation
Secure messages logged in EHR
Spanish & multilingual support
Text: SMS & forms
Voicemail replacement
Waitlist management
Website chat

At a glance

TypeWeb app

DeploymentCloud

PlatformsWeb

LanguagesEnglish, Spanish

Formedical practices, small practices, medium practices, large practices, enterprise medical organizations

Integrations

athenahealthModMedElation HealtheMedicalPractice

Complianceself-reported

SOC 2SOC 2 Type IIHIPAA

Pricing

No pricing figures are published on the site; pricing appears to be discussed via demo/consultation.