Case study · Healthcare
Aravali Health
AI intake agent handling 70% of patient pre-screening — built in 3 weeks.
Aravali
- Client
- Aravali Health
- Year
- 2025
- Category
- Healthcare
Stack
ClaudeTwilio Voicen8nPostgres
Challenge
What we were solving.
Aravali Health's intake team was drowning in pre-screening calls — most were routine and repetitive but required clinical judgement. They needed something that could handle the routine cases safely while escalating real concerns.
Solution
How we built it.
A voice + text intake agent that runs through a clinically-validated pre-screen flow, gathers symptoms, history, and urgency, then either books an appointment or escalates to a clinician based on configurable thresholds.
Results
The numbers that mattered.
- Self-served intake
- 70%
- Escalation accuracy
- 98%
- Time saved/wk
- 32 hrs
Related work
More from the portfolio.
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