Company Brief:
A leading Finance and Investment Collective providing expert mortgage broking and lending services to its clients across the globe. The company is endeavoring to develop a responsive web-based application, which will expedite Bank loan policy onboarding, and enable loan brokers to drastically reduce the turn-around-time on customer queries with an inbuilt AI assistant built on OpenAI APIs.
The Need for Speed: Accelerating Response Time in Customer Queries
The Need for Speed: Accelerating Response Time in Customer Queries
The existing process of analyzing and responding to customer queries for credit and loan requirements for the client was time-consuming and inefficient. Brokers and agents are burdened with manually reading through multiple bank policy documents to provide appropriate and accurate responses that cater to customer needs while optimizing revenue. This tedious task results in significant delays, taking hours to get back to the customer requests.
Pain Points:
- Analysis of relevant loan policy documents for the relevant and accurate answersย
- Verification and validation of the gleaned information for accuracyย
- Subsequent response time to customers/loan applicants
The AI Advantage: Streamlining Queries Management for Faster Customer Support
Binmileโs team of expert developers proposed a comprehensive team of frontend and backend experts, QA engineers, DevOps experts, UI/UX designers, project managers and team leads. Our team has been involved right from the discovery to delivery of the project ensuring quality platform development throughout our association with the client.
Our team is developing a web-based AI assistant that will provide answers to loan-related queries from brokers. The projected product will create interactive sessions with the AI engine to help Brokers answer queries efficiently. Additionally, the platform is intended to reduce the turnaround time between the initiation of loan policy analysis, and the time-accurate answer provided by the broker to the client or prospective clients.
The responsive web-based AI assistant will help speed up Bank credit policies onboarding and enable loan brokers to answer queries of customers with the Policy Pal web application, built on OpenAI APIs. This will help speed up the turnaround time to address a customer query and share the most accurate response from the list of applicable bank policy documents uploaded in the AI database.
Dual User Dashboard:
Broker Panel
To search for policy information in the database along with basic configurations like subscriptions, upgrades, and mapping with banks.
Admin Panelย
To facilitate smooth system operations and efficiently manage policy documents, access rights, search conditions, and enabling/disabling of banks from the backend of the system.
Expected project impact:
30% Streamlined Business Processes
95% Enhanced Ticket Response Time
75% Improved Customer Satisfaction Rate
89% Accurate And Optimised Responses To Customer Queries