Case Study · Conversational AI · Healthcare
FamilyCheck
A production AI voice agent for the people you love
FamilyCheck places warm daily medication check-in calls to elderly family members and keeps caregivers informed after every call.
Under the hood, FamilyCheck is a fully autonomous voice agent Modeo designed, built, and operates in production: consent-gated outbound calls, retrieval over each patient's medications, real-time tool use, and multi-channel notifications on a Vapi, Twilio, and Resend stack.
What is FamilyCheck?
FamilyCheck is a consumer product, live at family-checker.com. A caregiver enters a loved one's name, medications, and preferred call times. FamilyCheck then calls daily with a warm voice, asks about the medication, and sends the outcome to the caregiver over WhatsApp or email in seconds. It works on any phone: no app, no smartphone, no internet.
For Modeo, it is also the proof behind everything we tell enterprise buyers: a regulated-context voice agent that runs autonomously in production, built and operated by the same team you would engage.
What did Modeo build?
The agent runs on Vapi and Twilio for telephony and voice orchestration, with OpenAI models for conversation and ElevenLabs for the voice, and Resend for caregiver notifications. Every call is an autonomous, multi-turn conversation with real-time tool use: the agent retrieves the patient's actual medication list mid-call and logs a structured outcome when the call ends.
- Consent-gated outbound calling: the agent calls the patient first, and daily reminders begin only after verbal agreement
- Retrieval over each patient's medications, so the conversation names the right drug at the right time
- Structured outcome logging per call, delivered to caregivers over WhatsApp or email
- Fail-closed webhook verification across Vapi, Twilio, and Stripe
How does a voice agent stay safe in a regulated context?
Healthcare tolerates no improvisation, so the system is built consent-first and eval-driven. Nothing about the agent's behavior changes casually: prompt changes are scored against recorded scenario suites before they ship, and call flows that matter, consent, sign-off, escalation, are covered by dedicated eval suites.
The human stays in the loop by design. Caregivers see the outcome of every call, and the patient can opt out verbally at any time.
Why it matters for enterprise buyers
Most agencies show slideware. FamilyCheck is a live autonomous system in a regulated healthcare context, operated continuously by the team that built it. If you are evaluating whether Modeo can carry an agent from design to production and then keep it running, this is the evidence.
Where else this pattern pays back
Where the pattern applies
- Appointment confirmation and rescheduling calls
- Insurance renewal and missing-document calls
- Delivery and service-window confirmation
- Post-visit and post-service check-in calls
Illustrative payback: A clinic group or insurer placing 10,000 confirmation calls a month
- Staff time today
- 6 minutes a call, 1,000 hours a month
- Loaded staff cost
- $30 an hour, $30,000 a month
- Calls the agent completes without staff
- 60%, $18,000 a month saved
- Agent run cost
- 3 minutes a call at $0.20 a minute, $6,000 a month
$12,000 a month net. A $35,000 regulated build pays back in about 3 months, and within 12 months above about 2,500 calls a month.
Payback figures are illustrative models built on the assumptions shown, not client results. They exclude Monitor and Improve ($5,500 a month) and your team's time during the build. The AI Opportunity Assessment replaces every input with your measured baseline.
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