Problem

The financial company faced a high volume of repetitive customer inquiries related to services, eligibility, and basic loan information. Customer support was limited to business hours, response times were slow during peak periods, and leads were handled manually without a centralized reporting system.

This resulted in increased workload for staff, delayed follow-ups, and limited visibility into customer interactions and performance metrics.

Solution

A structured chatbot system was designed to automate customer communication and streamline internal processes.

The chatbot handled:

  • Frequently asked questions

  • Service and loan information delivery

  • Lead data collection and basic pre-qualification

To ensure efficiency and scalability, the system was integrated with:

  • A Dashboard CMS for easy admin management of chatbot flows and content

  • Google Sheets for real-time data storage, reporting, and team collaboration

  • An Email notification system to alert staff instantly when new leads or important actions occurred

The conversation flow was optimized using a button-based structure to reduce user confusion and increase completion rates.

Results

  • 24/7 automated customer support without increasing staff workload

  • Faster response times and improved customer experience

  • Higher quality leads through structured data collection

  • Reduced manual work for internal teams

  • Clear visibility into chatbot performance and customer data through real-time reports

Admin & Reporting System

  • Dashboard CMS allowed non-technical staff to update chatbot content and manage settings easily

  • Google Sheets integration provided automatic logging of submissions and interaction data for reporting and analysis

  • Email integration enabled immediate follow-ups and faster internal response times