Leverage AI Virtual Assistants to help customers get their inquiries answered and able to execute basic tasks without requiring to contact customer support (money transfer, balance check, view transaction history, apply for services, and more)
Provide faster and more personalized customer experience, reduce traffic on branches and call center agents, and decrease support costs
Understand the Use-case under 5 minutes
Video (1.5 minutes)
A whole new way to stay on top of your money, Erica is available 24/7 with personalized proactive insights and guidance to help you with your everyday banking needs.
Watch
Video (4.5 minutes)
Kore.ai's intelligent banking assistant is a fully functional, omnichannel, domain trained, and easily customizable bot that empowers human-like conversations to respond to most asked retail banking customer queries.
Watch
Get to know more Business and Technical details about the use-case (15-30 minutes)
More detailed introduction covering business and technical aspects
Article (10 minutes)
This article goes through the benefits of chatbots in banking, presents 12 potential use cases, expands on security considerations when building chatbots, and how you can get started building one
Visit
Article (10 minutes)
What conversational banking means, how next-gen technologies enable BFSI industries to cater to the changing customer requirements, benefits of conversational banking for customers and banks, and some uses cases
Read
Article (8 minutes)
This three-part roadmap shows banks and credit unions the features and customer value they can achieve with an AI bot in just 30 days, with a growth path to greater value.
ReadCase studies, Organizational Aspects, Return on Investment examples
Case Study (6 minutes)
Banca Transilvania, one of Romania's leading financial services companies, leverages AI-enabled Chatbot to reduce call center calls by 50%
Read
Case Study (5 minutes)
SEB bank usage of conversational AI-powered virtual agent case study. Virtual Advisor is currently doing the work of more than 10 full time employees and is expected to grow even further
Read
Case Study (3 minutes)
N26, the leading mobile bank in Europe, uses Rasa to handle complex back-and-forth conversations. This has led to a 20% of customer requests handled by it, working on getting it to 30%
VisitMore details on the technical aspects of the use-case
Video (30 minutes)
Video by Edureka that will help you understand what chatbots and their inner components are, & how to build awesome chatbots using Aws Lex service
Watch
Video Playlist (19 minutes)
A gentle intro to concepts in the world of chatbots/conversational AI, intents, entities, and flow of conversation (using Google’s DialogFlow)
Visit
Article (6 minutes)
Steps of building a virtual banking assistant using IBM Watson
Visit
Technical resources that will help you implement the use-case (notebooks, tutorials..)
AI Service
Dialogflow is a natural language understanding platform that makes it easy to design and integrate a conversational user interface into your apps. Explore the Documentation, Tutorials, and Banking Templates
Visit
AI Service
Lex is an AI amazon service for building conversational interfaces into any application using voice and text. Explore the Documentation, Github Repo, and this Video Tutorial for building a Virtual Banking Assistant
Visit
AI Service
A comprehensive development environment for designing and building enterprise-grade conversational AI. Explore Documentation, Github Samples, and this book for building Banking Virtual Assistants
Visit
Article (23 minutes)
How to build a BankingBot with Amazon Lex V2 console and API
Visit
AI Service
A machine learning-based service to build natural language into apps, bots, and IoT devices. Quickly create enterprise-ready, custom models that continuously improve.
Visit
Data Sets you can use to build Demos, POCs, or test Algorithms
Dataset composed of online banking queries annotated with their corresponding intents. It comprises 13,083 customer service queries labeled with 77 intents. It focuses on fine-grained single-domain intent detection.
Off-the-Shelf Products using AI for Banking Virtual Agents
Copyright © 2024 AI Cases. All rights reserved
Session expired
Please log in again. The login page will open in a new tab. After logging in you can close it and return to this page.
