The latest report from Grand View Research predicts that “the global artificial intelligence market size is expected to expand at a compound annual growth rate (CAGR) of 40.2% from 2021 to 2028.”

Artificial intelligence has been the object of myth and legend for centuries. In ancient times it was an intellectual concept promoted by philosophers. However, it was not until scientists in the 20th century tried to harness the power of computers to imbue them with the ability to act and think in a manner that resembled human intelligence. AI has not been without its setbacks as heavy funding and research did not pan out as predicted. Fortunately, science and technology have persisted and today AI is becoming a reality with practical real-world applications. Good examples are voice assistants such as Siri, Alexa, and Cortana that most of us use frequently in a day and the automotive industry through the self-driving car like Tesla.

Why Chatbots are the Future of AI?

AI-powered chatbots represent a particularly successful implementation of AI. They have proved to be capable of performing a lot of intelligent tasks like online searches, responding to voice commands, etc. With the ongoing pandemic outbreak, organizations and enterprises have leaned on AI and chatbots at an accelerated pace for various purposes like business continuity. Irrespective of the size of the company or the nature of the business, many chatbots are being leveraged to their maximum capability. An example of this is when Google LLC launched an AI-enabled chatbot in 2020 called the Rapid Response Virtual Agent for two-way interactions in call centres. The chatbot is designed and developed to respond to customer issues over voice, chat, and other social channels using AI. Because of Google’s example, many other companies were encouraged to invest in such chatbots that resulted in better customer retention and business outcomes.

The Ultimate Roadmap – Chatbot Development

So how do organizations build and deploy chatbots that will not only boost their business but also provide improved engagement and more unique interactions with customers? The following is the one-stop guide to develop an efficient chatbot to ease your chatbot development process.

  • Analyse your business for chatbot needs – Organizations can decide the need for a chatbot after mapping the nature of the work they do on a daily business to chatbot capabilities. For example, if they interact regularly with customers—for instance, online retail—or perform daily monotonous tasks, or require multichannel customer support then they are good candidates.
  • Define the functionalities of chatbots – Once the need for a chatbot has been carefully considered and determined the goals of the chatbot should be defined. Organizations need to list down the problems they want the chatbot to address or what they want to accomplish using the chatbot.
  • Categorize the areas that chatbot will replace – Organizations should identify and categorize the tasks that are difficult or a drain on human resources. Repetitive and time-consuming tasks are a good fit to be assigned to the bots so that employees can be redirected to focus on their core business operations.
  • Choose the languages and platform to deploy chatbots – Analyse the set of audiences you have in each platform and which are the ones where the chatbot will work well. In addition to platforms and channels, it is critical that you address customers in their native languages to make them feel more comfortable and offer a personalized experience. The chatbot should be capable of polyglot communications.
  • Integrate the chatbot with other apps and tools – Organizations should have the list of applications, software, and tools they want to integrate with the chatbot. When the collaboration between the chatbot and other tools are seamless, organizations can enjoy even greater benefits.
  • Choose the appropriate development platform ­– After the basic features of the chatbot are formalized, the next thing to do is to pick the right chatbot development platform. This is often taken care of by a third-party development team who collaborates to finalize the KPIs, deliverables, etc. When organizations shift to a long-term commitment to chatbots they need to ensure that a trained team of professionals is given the responsibility.
  • Evaluate the performance of the chatbot – Any application or software should undergo continuous performance testing to ensure that it meets operational and business requirements. All the functionalities should be closely monitored and potential risks should be identified and rectified. Rigorous testing ensures that the chatbot will function hassle-free and that end-users will have a great experience.

Building and implementing a chatbot is a huge step that organizations can take towards digital transformation. Intelligent chatbots can offer organizations and enterprises the competitive advantage they need in an agile environment and save direct and indirect costs in human resources and a lot of time.

Are you ready to implement smart chatbots to enhance the customer service and support you offer and looking for an experienced team to help you get there reliably and quickly? PreludeSys can take your chatbot requirements and turn them into an operational reality.

Schedule a call with our experts at PreludeSys today!

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