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LearnITy™ Conversation
What is
Conversational AI?
- Conversational artificial intelligence (CAI) refers to technologies, like
chatbots or voice assistants, which human users can communicate with.
- CAI for businesses has a very sharp focus:
help
business users (customers, employees) solve specific set of
problems
- Compare this to general CAI where the focus is on engaging users in chitchat
about some domain (e.g., sports)
- As a result of these completely different focuses, the evaluations of the CAIs also
varies
- Businesses evaluate to what extent the problems are solved
- General CAI evaluates to what extent the system is able to mimic conversation
with a human (the so called Turing Test)
Why implement
CAI?
- Whether you call them virtual agents, digital assistants or chatbots,
they are already driving significant changes in many organizations.
- Consumers are becoming more demanding. They now expect an immediate service response
anytime, anywhere and on any device.
- They’re looking for self-service options that enable them to get information and solve
problems via virtual agents without waiting for human intervention.
- Virtual Agents are becoming the key to employee productivity and happiness by answering
employees in the moment they have the question
Challenges of
CAI
- There are 2 main challenges for businesses implementing CAI:
- Quickly spinning up multiple virtual agents (for supporting different business
functions such as customer support, HR, etc.) without investing in a large
technical team
- The real power of a virtual assistant is the knowledge base (KB) that it
consults to answer user queries. The ever changing content of these knowledge
sources needs to be fed to the bot so that it responds dynamically with the
latest information
- LearnITy™ Conversation (LC) is a Conversational AI (CAI) Platform addressing
these challenges
- It is built for businesses wanting to implement CAI rather than to support general CAI
Quickly spin up
a chatbot
- LC supports quickly spinning up a chatbot by uploading a simple Excel file that contains
the bot responses and the happy path navigation
- Happy path navigation is a technique now adopted throughout the industry where users
mostly click on buttons to interact with the bot rather than enter text
- This avoids the frustrations with incorrect intent and/or entity recognition (the
infamous sorry don’t understand syndrome) that often results from user entered
text
- Modification of the bot responses as well as navigation is made very simple: update the
Excel file and reupload
- LC supports testing of the bot in the tool before deployment
Focus on
Dynamic Knowledge
- Constant changes in the underlying knowledge sources (e.g., Government regulations for
BFSI) is a reality in today’s business conditions.
- Human agents need to continuously train themselves by consulting the latest documents so
that they can give relevant and correct answers to user queries.
- It would lead to a very inefficient system if the virtual agent also need to be manually
changed every time to reflect these changes in the knowledge source
- LC comes packaged with document understanding capabilities whereby the virtual
agent is automatically provided with updated information from the latest version of the
uploaded documents
Digital
Self-service Platform
- LearnITytm Conversation (LC) automates various human labour intensive tasks related to
building a digital self-service platform
- Quickly convert your FAQs to a ChatBot
- Implement multiple virtual agents (Chatbots) serving different stakeholders
(customers, employees) or different business areas (customer service, HR)
- Easily connect your Knowledge Bases and Databases to the Chatbot so that it
answers queries based on the latest updated information
- Get detailed analytics of the service requests and their fulfilment by the
virtual agent from rich dashboard
How
LC Works?
- A self-service workflow that need to be implemented by a bot is very easily created
using an Excel file
- LC converts the contents of the Excel file into a Dialogue State Machine
(popularly called Skill in the
industry) and stores the representation of this machine in a in a format designed for
efficiency.
- In addition to text, button, card, and other standard types, users may create
their custom response types using rich media (images, video, audio)
- LC generates the glue code for integrating the Chatbot with a website or other channels