Case Study

    Case Study: 24/7 AI Receptionist for a Houston Medical Practice

    How a multi-provider Houston practice replaced after-hours voicemail with a Talos Automation AI voice agent — capturing every call, scheduling new patients, and triaging urgent issues 24/7.

    The short answer

    A multi-provider Houston medical practice replaced after-hours voicemail with a Talos AI voice receptionist. Before the build every after-hours call went to voicemail, costing an estimated 20 new-patient opportunities a month. Five weeks from kickoff the agent was live: it answers 100% of inbound calls within one ring, books 25 new-patient appointments a month, and returns 30 hours a week to the front desk.

    The Challenge

    100% of inbound calls to the practice were going to voicemail outside business hours, and a meaningful share were missed during peak intake times when the front desk was occupied with check-ins. New-patient inquiries that hit voicemail rarely called back, and the practice was losing an estimated 20 new-patient opportunities per month.

    The practice manager wanted a way to answer every call, route urgent clinical issues correctly, and book new-patient appointments — without hiring an after-hours answering service. That is the problem AI after-hours call handling is built to solve.

    The Solution

    Talos Automation AI deployed a custom voice AI receptionist trained on the practice's intake scripts, insurance policies, and provider availability. The agent:

    • Answers 100% of inbound calls within one ring, 24/7
    • Books new-patient and follow-up appointments directly into the practice's scheduling system
    • Triages clinical urgency and pages the on-call provider for emergencies
    • Hands off to a live front-desk team member during business hours when the caller asks
    • Drops a full transcript and recording into the practice's CRM for every call

    Deployment took 5 weeks from kickoff to go-live, with no IT staff required on the practice's side.

    The Results

    100% of inbound calls now answered within one ring.

    25 new-patient appointments booked per month by the AI agent.

    10% reduction in calls going to voicemail.

    30 hours per week returned to front-desk staff.

    6-month payback on the implementation.

    Frequently asked questions

    What did the AI receptionist actually change for this practice?

    Before the build, every call outside business hours went to voicemail and calls were also missed during peak intake, costing the practice an estimated 20 new-patient opportunities a month. After go-live the agent answers 100% of inbound calls within one ring, books 25 new-patient appointments a month, and hands 30 hours a week back to the front desk. The implementation paid for itself in six months.

    How long did it take to deploy the AI receptionist?

    Five weeks from kickoff to go-live. The practice needed no IT staff of its own on the project — Talos trained the agent on the practice's existing intake scripts, insurance policies, and provider availability.

    Can an AI receptionist book appointments and handle urgent calls?

    Yes, and this deployment does both. The agent books new-patient and follow-up appointments directly into the practice's scheduling system, and it triages clinical urgency and pages the on-call provider for emergencies. During business hours it hands the caller off to a live front-desk team member whenever they ask for one.

    Does the practice still get a record of every call?

    Yes. The agent drops a full transcript and recording into the practice's CRM for every call it takes, so the front desk and providers can review any conversation after the fact.

    Want a 24/7 AI receptionist for your practice?

    Book a free 30-minute consultation. We'll map your call patterns and identify the highest-ROI automation for your practice.