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FAQs About Conversational AI And It’s Applications

May 05, 2020  •  6 minute read

Conversational AI is a part of Artificial Intelligence, that enables human-like conversation between the user and the machine. It allows human-like conversations between users with websites, applications, and devices with the help of Natural Processing Language(NLP) via texts, voice, and commands.

8 components of conversational AI:

  1. Privacy & Security
  2. Feedback Loops
  3. Machine Learning Capabilities
  4. Language Technology
  5. Data
  6. Content
  7. Design
  8. Value Proposition for User

When all of the components above are in place, a conversational AI experience can tap into many of the aspects that make the human language such a versatile and rich communication medium.

1. How does Conversational AI work?
Conversational AI works by understanding the different components of speech with respect to machine learning. By extracting entities ( day to day objects ) from the user’s utterances, we can identify or give a fairly good estimate of what the user wants. This is done by creating a machine learning model for a particular domain and making the user talk to the chatbot that becomes the subject matter expert, thanks to the machine learning model. TL; DR: Conversational AI uses Machine Learning to extract information from the user’s sentences.

CAI works by understanding user input via text or speech which is then processed via different NLP models to determine the intent and entities involved in the conversation. Further Machine learning is utilized to understand domain-specific user contexts to determine the appropriate response to be given to the users.

2. What is a Chatbot or Intelligent Virtual Assistant?
Chatbot, Virtual Assistant, or Digital Assistant are interchangeable terms mostly used to describe the automated interface used for automated conversationChatbot short for Chatterbot is an application that can be embedded on a website, messaging application, a smart speaker or all. It is a computer application that enables automated conversations with humans.

3. What are the use cases of Conversational AI?
Conversational AI can be used for automating customer engagement, customer support, employee engagement (HR Automation), and can also be used for the automation of all enterprise business processes.

4. What is Artificial Intelligence (AI)?
Artificial Intelligence is a simulation of human intelligence in machines that are programmed to think like humans and mimic human actions.

5. What is Machine Learning?
Machine learning is a part of artificial intelligence based on the theory that machines can learn with data, identify patterns, and make decisions with minimal human intervention. Machine learning is a set of algorithms learned from data and/or experiences that automates analytic model building.

6. What is Natural Language Processing (NLP)?
Natural language processing is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human languages, in particular how to program computers to process and analyze large amounts of natural language data. NLP is an umbrella term that covers Natural Language Understanding (NLU), Natural Language Generation (NLG), and Dialog Management. It enables Conversational AI to make sense of a user’s language, and recognize their intent and give the appropriate response.

7. What is Deep Learning?
Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised, or unsupervised. It is also known as Deep Neural Learning or Deep Neural Network.

8. What is Dialog Management?
Dialog Management is what drives conversation between machines and humans. Management of conversation is handled by Dialog Management in Conversational AI. Dialog management is to find a perfectly suitable response to a human dialog. Grounding the conversation, slot filling, and carrying context are some of the key attributes that separate a good dialog manager from others. A dialog manager is a component of a dialog system, responsible for the state and flow of the conversation.

9. How does Sentiment Analysis work in Conversational AI?
Sentiment Analysis is a part of machine learning and Natural Language Processing that helps conversational AI in classifying emotions of users within texts and voice data as positive, negative, or neutral and other complex emotions that are identified by the user input.

10. How does a human takeover a conversation if the Bot is unable to answer?
In case the bot is unable to answer a user, it will seamlessly transfer the conversation to a Live Agent along with the context of the conversation without affecting the quality of the user experience.

11. Is’s Conversational AI Platform compliant with GDPR?
General Data Protection Regulation states that businesses are accountable for the protection of their customer’s data.’s Conversational AI Platform complies with GDPR requirements.

12. How smart is the language understanding in’s Conversational AI Platform?’s Conversational AI platform leverages deep learning and natural language processing to respond to a wide range of questions in multilinguistic languages.

13. What are the security/privacy features offered?’s platform has gone through a detailed security assessment and is certified per OWASP guidelines. The platform has built-in capabilities to offer privacy.

14. Is the solution purpose-built for enterprise deployment? has been catering to enterprise-ready Conversational AI needs for customer engagement, customer support, employee engagement, etc.

15. Is there a proven project plan for implementation?
A good solution has a proven strategy for implementation and to adapt if required. not just provides the initial training required for implementations through an extensive range of support and demo videos, but also is available, 24/7 in case of any query.’s solution is implemented in phases starting from testing to complete launch and also 2.0 version if required.

16. How well does it scale?
The Platform auto-scales depending upon the volume of interactions coming across from all channels. Our response time for interaction is <1 second.

17. How does Conversational AI scale the business?
“Every penny saved is a new investment made”. The cost-efficiency Conversational AI creates the businesses is remarkable. Offering 360-degree Automation for both internal and external requirements making an impeccable scope of reducing human effort in various verticals including HR, Sales, IT, Marketing, Customer support, etc. can equip you to enhance your businesses with Conversational AI.

18. What industry-specific expertise and content are available at launch? caters to the following industry both at vertical and horizontal levels: Our platform is industry-agnostic and we have strong consulting experience across various industries:

  • Automotive industry
  • Banking
  • Consumer Goods
  • Education
  • Energy and Utilities
  • Insurance
  • Media and Entertainment
  • Pharmaceutical and Healthcare
  • Real Estate
  • E-commerce
  • Telecommunication
  • Travel & Hospitality

19. Can Conversational AI seamlessly integrate with CRM?
The short answer is Yes! We have out of the box ready-made connectors for leading enterprise applications which help us in reducing the time to go live.’s Conversational AI platforms can be integrated with any CRM in the market like Salesforce, Microsoft Dynamic 365, Zoho, Freshsales, etc

20. On which channels can’s Conversational AI be deployed?
A smart Conversational AI is one that can be deployed seamlessly on any platform.’s Conversational AI solutions can be deployed on 25+ channels like Facebook Messenger, Twitter, WhatsApp, Website, etc. We are official partners for Whatsapp Business API globally.

21. How will the User Experience change due to Conversational AI?
The primary key points where conversational AI enhances the user experience are:

  • No waiting time, the user has the ability to access the right data through free text or
  • voice in no time.
  • Frequently asked questions are handled more efficiently.
  • Constant Consistency
  • Optimal data collection
  • Omni-Channel experience, Customer queries can be handled on multiple
  • channels.

22. How does conversational AI help your KPI? is a pioneer in offering the most customisable platform experience, enabling the user to extract data and give analytics on the dashboard in the desired
format and UI.

Our solution offers complete customizable analytics to enable business decisions based on the data. Out-of-the-box bot analytics including the number of users, sessions, messages, journeys, etc.

  • Customizable conversational analytics to track the following KPIs
  • Bot performance metrics like failure points, goal completion rate, etc. to train the bot further
  • MIS Reporting automation is the world's leading enterprise-grade conversational AI platform that unlocks business potential at scale. It is powered by Dynamic AI Agents to deliver human-like interactions that boost customer satisfaction and increase employee engagement across 35+ voice and text channels and in 135+ languages.
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