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Voice AI, Conversational Agents, AI/ML
Completed

Healthcare AI Call System

Automated inbound and outbound calling system integrating Retell AI with HubSpot CRM

Client
Healthcare Client
Duration
6 weeks
Team Size
3 developers
Completed
September 2025
Healthcare AI Call System

Project Overview

The client needed to scale their sales operations without proportionally increasing headcount. Their manual calling process was creating bottlenecks and losing valuable leads due to slow response times.

The Challenge

The client was struggling with inconsistent lead follow-up, manual data entry errors, and inability to handle high call volumes during peak hours. They needed an intelligent system that could qualify leads 24/7 while maintaining personalized communication.

Our Solution

We built a sophisticated automation pipeline connecting Retell AI with HubSpot CRM through n8n workflows. The system automatically triggers calls based on lead behavior, updates CRM records in real-time, and routes qualified leads to human sales reps at the optimal moment.

Key Features

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Intelligent Call Routing

AI-powered system that analyzes caller intent and routes to appropriate workflows or human agents based on conversation context and lead scoring.

πŸ’Ύ

CRM Integration

Bidirectional sync between Retell AI and HubSpot ensuring all call data, notes, and outcomes are automatically logged and accessible to sales teams.

πŸ“’

Automated Campaigns

Schedule and execute outbound calling campaigns with personalized messaging based on CRM data and customer segments.

Technical Challenges & Solutions

Complex Data Mapping

HubSpot's custom properties and complex object relationships required careful mapping to ensure data integrity.

Solution: Created comprehensive data mapping schema with validation rules and error handling in n8n workflows.

Real-Time Synchronization

Ensuring instant updates between systems without overwhelming API rate limits.

Solution: Implemented intelligent batching and priority queuing system for API calls with fallback mechanisms.

Project Timeline

1

Discovery & Planning

1 week

Analyzed existing processes, CRM structure, and call workflows

Requirements document
Technical architecture
Integration plan
2

Development

3 weeks

Built n8n workflows, configured Retell AI, and integrated with HubSpot

Working integrations
Custom workflows
API connections
3

Testing & Optimization

1 week

Comprehensive testing and AI conversation refinement

Test reports
Optimized AI scripts
Documentation
4

Deployment & Training

1 week

Production deployment and team training

Live system
Training materials
Support documentation

Key Results

Faster
Response Time
Average time from lead inquiry to first contact reduced
Increased
Lead Qualification
More leads properly qualified and routed to appropriate sales teams
Cost savings
Cost Savings
Reduction in operational costs through automation of routine tasks

Technologies Used

Retell AI
HubSpot CRM
n8n
HubSpot Workflows
REST APIs
Webhooks

Before vs After

avgResponseTime
Slower→ Faster
qualificationRate
Lower→ Higher
callsPerDay
Lower→ Higher
conversionRate
Lower→ Higher

Interested in Our Work?

Let's discuss how we can build a similar solution for your business