Agent CB is a highly featured AI-enabled bot developed by InsideAIML
NLP team members which understand the context of user’s query and communicate
with Agent in case of difficulties and single-handed handles the 84% of users
question without human interaction.
It is a kind of one AI Bot for all
solutions such as-
Support Channel Automation – Agent CB automate level 1
and level 2 activity using Support Automation Bot, train entity on run time to
make bot smarter and create a more user-friendly environment.
Sales Support – It helps to release Sales representative to key deals
by assigning help desk to Agent Bot who handles all queries from the users
with understanding to context of the query.
User Help Guide - Instead
of raising helpdesk tickets, get it resolved by the bot. Handle new applicant’s
queries, openings and services company provides as well as resolve HR related queries.
Bot and Agent Both can connect to the user -
Users query gets solved
by bot without human intervention but if the bot could not solve query then Agent
gets the notification to give guidance to Bot.
Agent CB works?
Chatbots are changing the way how companies engage with their
customers. The combination of constant connectivity and instant response time makes them an attractive way to extend or even replace the
functionality of web and mobile apps.
There are two basic categories of modern chatbots.
Rule-based chatbots: It can respond to specific commands.
Artificial intelligence chatbots: It responds to
natural language or Human Langauge.
Agent CB works
and may also call as AI-enabled chatbot which takes some combination of steps
to convert text or speech into structured machine-understandable data that may
be used to select the proper response.
Below mentioned are
some of the possible NLP steps.
Tokenization - Given a string of words (characters), the natural language the processor will divide those words into pieces or tokens that are linguistically
significant or otherwise use for the application.
Named entity recognition - Looks for categories of words, like the
name of a product, a person’s name, or an address.
Normalization - Processes text in an effort to find common spelling or
typographical errors that might impact meaning.
Part of speech tagging - Identifies parts of speech — nouns, verbs
— in the text with the aim of understanding complex sentence structures and how
those structures impact meaning.
Dependency parsing - Looks for subjects and objects in the given text to find
Sentiment analysis - Watches to learn if the human user is having a good experience
or if the chat conversation should be elevated, if you will, to a human
A chatbot working on hardcoded
questions/answers have a smaller knowledge base and skill set, and can only
provide the correct output to specific instructions but Agent CB is a
more advance Chatbot which is capable to handle many different tasks using it
unique features of content understanding of the sentence.
Some of the main features of Agent CB
Integration with key channels- Agent CB can be easily
integrated with many different applications such as Facebook Messenger, Slack,
Skype, Microsoft Teams and so on.
Development Required- It’s a full-fledged
AI Bot which does not require any Development.
time Training Possible – Agent CB is also
capable of getting trained during runtime which makes it’s a very unique
understating the Context of the user’s query- Agent
CB tries to understand the context of the sentence given by the user and
provide the solution which makes it’s a very unique bot as most of the bot
available in the market using some other technique which is not so much
the chat historical data and provides insights.
– Agent CB tries to maintain all the historical data
which is has seen before any time and tries to provide very powerful insights,
How It Helps to Grow Business
It helps us to increase Leads conversion by 17% through smart
and understandable bot.
An AI to enhance, Agents and Bots training and productivity.
It also helps in cost reduction and improves productivity.