We are experiencing a strong demand for conversational AI solutions. It is coming from every corner of the B2C market. It is growing by the day.
Conversational AI is becoming increasingly popular among the consumer facing business community. It is easy to see why - AI offers sales and customer service scalability and therefore is critical for the long-term success of a business.
Conversational AI solutions such as chatbots, voice bots, and virtual assistants provide much needed speed and efficiency, in an age where the rapid advancement of technology makes them virtually the only sustainable customer service solution.
Bu there is a catch - AI is complicated. Mainstream businesses do not have in house AI expertise. And it is not part of their business model to develop such expertise.
Today’s market offer several good conversational AI solutions, such as IBM Watson or Google DialogFlow. However, getting a business value out of them requires the very AI expertise that mainstream companies do not possess.
So what can be done?
Any AI solution should follow these three steps in order for the mainstream business community to fully benefit from it:
- Conversational AI should come as a service,
- The service should be available in natural language,
- The service should be fully personalized.
