AI Voice Assistant for Lead Generation & Call Handling
About Client
Industry
Financial Services & Lending
Location
USA
Project Overview
A leading banking and lending institution in the United States manages a high volume of customer interactions daily, spanning loan inquiries, eligibility assessments, document submissions, interest rate queries, and application status updates. As its customer base grew, so did the operational pressure on its call center teams to handle this demand consistently and at scale.
The institution recognised that its existing communication model was becoming a bottleneck. Customers were waiting longer for responses, agents were occupied with repetitive queries, and follow-up processes were largely manual. Something had to change.
To address this, we built and implemented an AI Voice Assistant for Lead Generation & Call Handling that would modernise the institution’s inbound and outbound call operations while preserving the option for human intervention at every critical touchpoint.
Traditional Process
Before implementing our solution, the institution’s customer communication model was entirely agent-dependent. Every inbound and outbound interaction required direct human involvement.
01
Manual Inbound Call Handling
Banking representatives managed all incoming customer queries manually, covering everything from loan eligibility questions to account service requests.
02
High Dependency on Call Center Staff
There was no automation layer. Every interaction, regardless of complexity, demanded staff time and attention.
03
Repetitive Query Resolution
Agents spent a disproportionate share of their day answering the same categories of questions: documentation requirements, interest rates, loan status, and application guidance.
04
Manual Follow-Up Process
Outbound communication for incomplete applications, pending documents, and approval updates was handled through manual phone calls by support staff.
05
Limited Service Hours
Customer support was only accessible during standard business hours, leaving queries unaddressed outside operational windows.
06
Inefficient Call Routing
Customers were frequently transferred between departments before reaching the right specialist, adding friction to an already slow process.
Challenges Faced
As customer volumes continued to rise, the limitations of the manual model became increasingly costly.
01
Managing High Call Volumes
Large numbers of inbound and outbound calls created pressure on support teams and impacted service efficiency.
02
Slow Lead Engagement
Delays in reaching prospective borrowers at the right moment resulted in missed conversion opportunities.
03
Inconsistent Follow-Ups
Manual processes made it difficult to maintain timely communication with every customer throughout the loan journey.
04
Resource-Heavy Operations
Support teams spent valuable time handling repetitive conversations rather than focusing on complex customer needs.
05
Long Customer Wait Times
Peak-hour call traffic created queues, reducing customer satisfaction and increasing abandonment.
06
Inefficient Call Routing
Without intelligent routing, customers often passed through multiple departments before connecting with the right person.
07
Scalability Constraints
Growing the support function required proportional increases in headcount, making scale both slow and expensive.
08
No After-Hours Support
Customers had no reliable channel for assistance outside business hours, limiting access and experience.
Our Solutions - AI Voice Assistant For Lead Generation and Call Handling
SculptSoft designed and implemented an AI Voice Assistant for Lead Generation and Call Handling – a purpose-built voice automation platform for the institution’s banking and lending operations.
01
Intelligent Inbound Call Handling
02
Automated Loan Application Assistance
The system guides customers through loan-related conversations, walking them through eligibility criteria, documentation requirements, application stages, and approval timelines without requiring agent involvement for standard enquiries.
03
Proactive Outbound Engagement
The platform automatically initiates outbound calls to customers for application follow-ups, document collection reminders, status notifications, and next-step guidance. This replaced the institution’s entirely manual follow-up process with a structured, automated communication workflow.
04
Smart Call Routing
The system analyses customer intent in real time and routes calls directly to the appropriate loan officer, relationship manager, or banking specialist. Unnecessary transfers are eliminated, and customers reach the right person faster.
05
Seamless Human Escalation with Context Transfer
When a conversation requires human judgement whether due to complexity, sensitivity, or customer preference, the system escalates immediately to a banking representative. The full conversation history is transferred alongside the call, so customers never have to repeat themselves.
06
24/7 Availability and Multi-Call Processing
The Voice Assistant operates around the clock and handles multiple simultaneous calls, ensuring the institution can serve customers at any hour without staffing constraints.
07
CRM Integration and Call Analytics
All voice interactions are connected to the institution’s CRM platform, with call data, customer history, and interaction outcomes feeding directly into reporting and analytics workflows.
Outcome
Features
AI-Powered Inbound Call Handling
Intelligent Call Routing
Context-Aware Conversation Transfer
Eligibility & Document Guidance
Real-Time Lead Engagement
24/7 Voice Support
Call Analytics & Reporting
Automated Outbound Calling
Human Agent Handoff
Loan Application Assistance
Application Status Updates
Multi-Call Handling
CRM Integration
Scalable Voice Automation
Technologies Used
Front-end
- React
Human-in-the-Loop (HITL)
Third Party Integration
- Twilio Studio
- Twilio SMS
- Twilio Voice
- Twilio WebSocket
- Deepgram STT
- OpenAI GP
- ElevenLabs TTS
- GPT-realtime
Backend
- Python
Database
- Cosmos DB
Server
- Azure VM/App Service
Integrations
- CRM Integration
