Posted on Leave a comment

Automate Client Interaction via Jasper AI

With the help of the conversational AI platform, companies can automate client interactions across a variety of platforms, including websites, messaging applications, and voice assistants. The platform employs sophisticated machine learning algorithms to comprehend client enquiries and provide natural and personalised responses.

How to use

To use, you would typically follow these steps:

  1. Sign up for a account and log in to the platform.
  2. Create a new project, which will be the foundation for your conversational AI solution. You will need to define the goals and objectives of the project, as well as the channels you want to support (e.g. website chat, messaging apps, voice assistants).
  3. Train your Jasper model by providing examples of the types of customer inquiries you expect to receive. This training data will be used to build the machine learning algorithms that will drive your conversational AI solution.
  4. Integrate the platform with your website, messaging apps, or voice assistants. This will allow you to interact with your customers via these channels, and provide them with automated, personalized responses.
  5. Monitor and analyze your conversational AI solution’s performance over time, and make any necessary updates or improvements to ensure that it continues to deliver the desired outcomes for your business.
  6. Scale your solution as needed, adding new channels and expanding your training data as your business grows and evolves. provides a comprehensive suite of tools and resources to help you get started with conversational AI, including documentation, tutorials, and support from the team.

Best Usage is best used for automating customer engagement and support through conversational AI. Some of the most common use cases for include:

  1. Chatbots for customer support: can be used to build chatbots that can handle common customer inquiries, such as questions about products, services, and order status, reducing the workload on human customer service agents.
  2. Virtual assistants for customer engagement: can be used to build virtual assistants that can interact with customers in natural language, providing them with personalized recommendations, product information, and more.
  3. Voice assistants for hands-free interaction: can be integrated with voice assistants like Amazon Alexa and Google Home, allowing customers to interact with your business using voice commands.
  4. Multichannel customer engagement: can be used to build a conversational AI solution that works across multiple channels, such as websites, messaging apps, and voice assistants, providing a seamless customer experience regardless of the channel used.
  5. Automated customer surveys: can be used to build conversational surveys that gather customer feedback, providing valuable insights into customer satisfaction and preferences.

These are just a few examples of the many ways that can be used to improve customer engagement and support. With its powerful machine learning algorithms and flexible architecture, can be tailored to meet the specific needs of any business.