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Conversational Automation

Bot essentials 13: How chatbots evolve for business transactions

Deepak Nachnani
.
Nov 23
.

Table of contents

Key takeawaysCollaboration platforms are essential to the new way of workingEmployees prefer engati over emailEmployees play a growing part in software purchasing decisionsThe future of work is collaborativeMethodology

So we have now discussed how the NLP engine in a bot works. It’s time to tackle intelligent paths, Business platforms are primarily transaction-driven, till we shift the model to open conversations that are random as humans will communicate with each other. This is typically switching contexts while having a conversation with another human, something like

“Oh I forgot, I had to check the balance on my checking account, I better do it fast."

So, how do we evolve a chatbot for business transactions?

Intelligent paths enable you to construct bots

They drive a conversation for the user by presenting options for the user to select from. Once clicked it branches off to a path that asks further questions. Or it displays further options, or the end result that the user is looking for.

Platforms like Engati enable you to create intelligent path flows that link information retrieval to the next step of input as in a manner implementing a flow chart for a conversation or information lookup and retrieval. We can also use intelligent paths to ask further clarifying questions to narrow down the information retrieval needs for the user.

Paths allow you to do an "If - Then Else" kind of structure for your conversation flow. You can do this via a send message node, via a carousel display, via a JSON API call to retrieve information or, via a text response with tags.

Tags are the elements that we use within paths to store key information. If the user is talking about a bank account and undergoes an authentication check, then we store the bank account in a transient tag. This tag will only last for the duration of the conversation with the bot.

Evolve a bot for business transactions

The intelligent path flows let you design a richer interaction. In return, add the intelligent path flow will navigate the user. Therefore, will help keep the context of conversation while interacting with the bot. Intelligent paths and nodes represent a key element in the intelligence design for a bot.

Read about Bot Essentials 14: Blockchain and chatbots

Try it out with the Engati platform bot builder which supports paths and flows. It is a unique way to program your bot for intelligence without the need for programming. You can do this with drag and drop flows and Engati will do the rest behind the scenes.

There's a lot more about chatbots and their diverse roles for your organisation. So, start building your website chatbot now!

PS: Check out Live Chat feature now!

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Deepak Nachnani

Andy is the Co-Founder and CIO of SwissCognitive - The Global AI Hub. He’s also the President of the Swiss IT Leadership Forum.

Andy is a digital enterprise leader and is transforming business strategies keeping the best interests of shareholders, customers, and employees in mind.

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Continue Reading

Bot essentials 13: How chatbots evolve for business transactions

Deepak Nachnani
|
2
min read

So we have now discussed how the NLP engine in a bot works. It’s time to tackle intelligent paths, Business platforms are primarily transaction-driven, till we shift the model to open conversations that are random as humans will communicate with each other. This is typically switching contexts while having a conversation with another human, something like

“Oh I forgot, I had to check the balance on my checking account, I better do it fast."

So, how do we evolve a chatbot for business transactions?

Intelligent paths enable you to construct bots

They drive a conversation for the user by presenting options for the user to select from. Once clicked it branches off to a path that asks further questions. Or it displays further options, or the end result that the user is looking for.

Platforms like Engati enable you to create intelligent path flows that link information retrieval to the next step of input as in a manner implementing a flow chart for a conversation or information lookup and retrieval. We can also use intelligent paths to ask further clarifying questions to narrow down the information retrieval needs for the user.

Paths allow you to do an "If - Then Else" kind of structure for your conversation flow. You can do this via a send message node, via a carousel display, via a JSON API call to retrieve information or, via a text response with tags.

Tags are the elements that we use within paths to store key information. If the user is talking about a bank account and undergoes an authentication check, then we store the bank account in a transient tag. This tag will only last for the duration of the conversation with the bot.

Evolve a bot for business transactions

The intelligent path flows let you design a richer interaction. In return, add the intelligent path flow will navigate the user. Therefore, will help keep the context of conversation while interacting with the bot. Intelligent paths and nodes represent a key element in the intelligence design for a bot.

Read about Bot Essentials 14: Blockchain and chatbots

Try it out with the Engati platform bot builder which supports paths and flows. It is a unique way to program your bot for intelligence without the need for programming. You can do this with drag and drop flows and Engati will do the rest behind the scenes.

There's a lot more about chatbots and their diverse roles for your organisation. So, start building your website chatbot now!

PS: Check out Live Chat feature now!

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