case study

AI-Powered Virtual Agent for Streamlining Mortgage Valuation

Banking & Financial Services

Business Impacts

~28K

Total Sessions

150K

Total Queries

72

Average Sessions Per Day

95%

Success Rate

Customer Key Facts

  • Country : India
  • Industry : BFSI
  • About : It is one of the biggest Indian multinational bank headquartered in Mumbai. With 6,000 branches and 17,000 ATMs across India, it offers a wide range of financial services globally. Recognized as a Domestic Systemically Important Bank (D-SIB), it plays a pivotal role in India’s financial landscape

Problem Context

The mortgage unit of a major Indian bank faced challenges in managing and responding to repetitive queries, which were time-consuming and labor-intensive. Maintaining updated information from multiple sources on a single platform was difficult, leading to inefficiencies. The team needed an AI-powered virtual agent to streamline query handling, reduce human effort, and ensure quick, accurate responses.

 

Challenges

  • The mortgage team was looking for an AI-powered ChatBot to answer all the frequently asked questions to reduce human effort and save time.
  • Team was facing challenges in maintaining the updated information from multiple source system at a single platform and answering the repetitive queries was very time consuming

Technologies Used

Dialog Flow CX

Dialog Flow CX

Big Query

Big Query

Google cloud Platform

Google cloud Platform

Cloud Functions

Cloud Functions

Cloud Firebase

Cloud Firebase

PowerBI

PowerBI

Solution

  • Virtual agent trained on 10,500 FAQs to respond or redirect users based on simple, repetitive queries for quick resolution
  • Creation of an Admin Panel to help upload, download & update responses to existing FAQs for different line of business
  • Power BI based dashboard to gauge the performance of virtual agent

Results

High Engagement

  • ~28K Total Sessions: Significant user interaction with the virtual agent, demonstrating strong adoption.
  • 150K Total Queries: High volume of queries handled efficiently, reducing the workload on human agents.

Daily Usage

  • 72 Average Sessions Per Day: Consistent daily engagement indicates the virtual agent's reliability and usefulness in day-to-day operations.

Efficiency and Success

  • 95% Success Rate: High accuracy in resolving queries, leading to improved customer satisfaction.
  • Time Savings: The virtual agent has significantly reduced the time spent on answering repetitive queries, allowing human agents to focus on more complex tasks.

Improved Information Management

  • Unified Platform: Centralized information from multiple sources ensures that the virtual agent provides accurate and updated responses.
  • Admin Panel: Facilitates easy updating of FAQs and responses, ensuring that the information remains current and relevant.

Performance Monitoring

  • Power BI Dashboard: Provides insights into the virtual agent's performance, enabling continuous improvement and optimization.

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