04
Case 04VoiceBot Pro + RAGChat

HEALTHCARECLINICS

Voice agent for patient calls with urgency-based escalation

VoiceBot ProRAGChat
Systems:2
Journey Steps:6
Tech Components:8

The Problem

Front desk overwhelmed with routine patient calls

01

Staff can't keep up with phone volume — appointment inquiries, insurance questions, directions

02

Patients calling after hours get voicemail and many don't leave messages

03

Staff repeat the same information about services, office hours, and accepted insurance

04

No way to triage urgency of incoming patient inquiries before they reach a person

The Solution

AI phone agent with urgency-aware escalation rules

An AI voice agent handles routine clinic calls — office hours, directions, service descriptions, insurance acceptance. Trained on your clinic's FAQ documents and policies. Urgency keyword detection and sentiment-based escalation rules ensure critical calls reach staff immediately.

System Capabilities

[01]AI voice agent for routine clinic inquiries
[02]Document ingestion for clinic FAQs and policies
[03]Urgency keyword detection in escalation rules
[04]Sentiment-based escalation for distressed callers
[05]Real-time call transcription
[06]Call recordings and transcripts for review

User Journey

Step-by-step flow from initial contact to resolution

01

Patient calls the clinic

VoiceBot Pro

"Do you accept walk-ins today?" — AI voice agent answers the phone

02

Clinic KB searched

RAGChat

RAG retrieves walk-in policy and today's hours from clinic documents

03

Voice agent responds

VoiceBot Pro

Patient gets accurate answer about walk-in availability and hours

04

Urgency keyword detected

VoiceBot Pro

Patient mentions symptoms that trigger urgency escalation rules

05

Immediate escalation to staff

VoiceBot Pro

Call routed to clinic staff with urgency flag and real-time transcript

06

Routine calls handled autonomously

RAGChat

Non-urgent calls (hours, directions, insurance) handled fully by AI — transcripts logged for review

Pipeline Complete — 6 Steps

System Architecture

How data flows through the system for this use case

system-architecture.flow
N01

Patient

Incoming phone call

N02

Vapi Voice Agent

STT → Text processing → TTS

N03

RAG Pipeline

Clinic FAQ and policy KB

N04

Escalation Engine

Keyword + sentiment rules

N05

Staff / Transcript Log

Urgent: staff | Routine: log

//

Patient calls are answered by the Vapi voice agent. Speech is transcribed, run through the RAG pipeline against clinic documents, and the response is spoken back. The escalation engine monitors for urgency keywords and sentiment signals — routing critical calls to staff immediately.

Tech Stack

Technologies powering this solution

01Vapi SDK
02Twilio
03FastAPI
04Pinecone
05Groq / OpenAI
06Escalation Engine
07Sentiment Analysis
08PostgreSQL
Ready to Deploy

Deploy This Solution

Custom-built for your specific documents, workflows, and channels.

HEALTHCARE CLINICS — Fenlo AI Use Cases | Fenlo AI