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  • Use chatbots to easily surface firm intelligence from multiple Line of Business data sources?

    How to use chatbots to easily surface firm intelligence from multiple Line of Business data sources?

    Firm intelligence is the next data revolution, and organizations today to be successful must gain value from the information it has access. Businesses to achieve productivity, as well as performance enhancements, must have an intention of transformation, as developing an intelligent organization is not possible without a digital transformation plan. Firm intelligence is workforce or organization focused and enables effective collaborative communications between internal as well as external users.

    Although several organizations realize the enhancements, digital transformation can bring in to the firm, around 35% of firms still do not plan for digital transformation(1).

    The chatbot does it all!

    Chatbots have proven out to be one of the best digital transformation efforts to transform the way an organization gathers and utilize their knowledge.

    Chatbots perform multiple business operations and process a massive chunk of data to deliver relevant answers quickly. A firm employee can have two roles as a manager as well as an assistant on two different portals. Here chatbots play a significant role in understanding access rights and delivering confidential data. Other than retrieving information from portals, a chatbot also makes it possible to write back or reply within the portal.

    Legal chatbot — KLoBot

    A chatbot goes through a sense think and act cycle to provide organizations with diversified communication models and conversation flows. Chatbots first collect the data required to complete a task and then thinks (thinking signifies an important essence of AI). Then the final step involves chatbots deciding to respond. These chatbots deliver responses faster than human agents and in a user-friendly manner.

    Why a company creates a chatbot? Are chatbots everywhere?

    The growing adoption of conversational AI chatbots is empowering enterprises to deliver sophisticated employee experiences. These chatbots have the capabilities and intelligence which are required to meet the present complicated needs of any business, including a vast number of communication channels and 24/7 availability.

    Chatbots are one of the best solutions, especially for firms working with multiple data sources. Several firms across verticals are increasingly using AI-enabled chatbots to replace repetitive human work and strengthen their efficiency.

    Trending Bot Articles:

    1. 3 Tips for your Voice and Chatbot Program from Gartner’s Customer Service Hype Cycle 2020

    2. Deploying Watson Assistant Web Chat in Salesforce Lightning Console

    3. Are Chatbots Vulnerable? Best Practices to Ensure Chatbots Security

    4. Your Path to AI — An IBM Developer Series

    AI-enabled chatbots are changing the way businesses are done by allowing employees to access information from multiple portals seamlessly. With a strong knowledge base, these intelligent chatbots can identify patterns and respond aptly with quality answers. These AI chatbots serve as a front-line virtual agent for firm employees dealing with numerous data sources.

    What is the best AI chatbot builder platform available?

    Determining the right chatbot that best fits an organization’s needs and strategy is a crucial step for any firm. A firm may need a chatbot for internal as well as external uses, and creating those intelligent chatbots requires a bot builder platform. One such platform is “KLoBot,” which is a DIY no-code AI chatbot builder platform for any firm.

    Benefits of KLoBot

    With KLoBot’s easy drag and drop user interface, a chatbot can be quickly designed for simple as well as complex bot interactions. KLoBot can be configured with several popular channels, including MS Teams, Facebook, Twilio, Slack, and Cortana, among others.

    KLoBot is an incredibly intelligent platform that can assist and accelerate a firm’s digital transformation with its intuitive conversational UI. Chatbots built on KLoBot come with skills such as speech to text, language understanding, text analytics, web search, and much more. To know more about KLoBot and the benefits it can offer to your firm, please click here.

    KLoBot — create intelligent chatbots to meet organizations custom requirements

    The introduction of KLoBot 3.0 allows firms to surface firm intelligence from multiple lines to business data sources and empower remote workers to experience human-like conversations. KLoBot helps firms in developing AI chatbots to perform tasks such as collect, modify, and post information in the line of business systems.

    The AI-enabled chatbots build on the KLoBot platform empower organizations to achieve a goal of enhancing business performance across a firm.

    Don’t forget to give us your 👏 !


    Use chatbots to easily surface firm intelligence from multiple Line of Business data sources? was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

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  • Reasons Your Business Needs a Facebook Messenger Bot

    Let your pillar of marketing getting more robust and make your business more productive. You might be wondering how then a Facebook bot can be your ultimate way of getting things done instantly. Let your customers have a seamless experience and connect with your brand over the most popular social media platform. For more detail, on “Reasons Your Business Needs a Facebook Messenger Bot.” Click the link.

    submitted by /u/botpenguin1
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  • Methods to get raw information into chatbot database?

    I’ve created a good chatbot architecture to potentially allow selling the service to clients. Which is great. But I’m trying to figure out a streamlined way for me or customers to enter information into a database for each client so that a chatbot could represent them and that keyword matches trigger the right content.

    The problem I’m having (conceptually) is that different customers are so completely different.

    For instance, if I were to use a questionnaire format, the range of questions would branch out into the hundreds depending on how a client answers a question. And it would require me creating those question templates, which would probably be a larger job than creating the chat bot itself! There is just too much different between the needs of a swimming pool salesperson, an artistic painter, and a dog kennel operator.

    Another approach I’m considering is to simply feed the system raw text from a client’s website or supplied information, so that it’s not as nicely structured, but may at least make the information findable. For instance, keyword matches could bring up the paragraph that the keywords were found.

    It seems that overall, creating GOOD chatbots for customers involves a lot of back end dev to massage different info to fit whatever architecture the chatbot works with.

    does anyone have any insight on this, ideas to streamline the process for wildly different use cases?

    submitted by /u/dyselixc
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  • “Direct” source of manychat isn’t starting flow, or goes to the wrong flow

    I have a few ManyChat flows but am getting quite a few subs from “direct” source of traffic. I can’t figure out what the source is, and it’s sending them to a flow that isn’t working. Any idea how I fix this?

    submitted by /u/yallapapi
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