Creating a chatbot is easy, but creating a loved customer success tool that is scalable, can be deployed for large users bases, connects to your infrastructure – that´s a challenge.
Three CAI success factors:
- Multi disciplinary team (collaboration)
- Scaling across the enterprise
Chatbots: The Definitive Guide (2020)
Not all conversational platforms are equal. There are vast differences between serving the needs of point solutions for small businesses and meeting the demands of global enterprises navigating digital transformation.
The CAI technology chosen today will dictate how fast enterprises can react in the future.
Delivering CAI applications that evolve as the business grows requires a platform that is scalable, multi-lingual and device independent. One that can seamlessly integrate with back end systems and third-party applications. But equally important, one that is easy to use.
Data is also a key consideration, since this is where enterprises derive the most benefit from their conversational systems. Without ownership of the data generated, the tools to mine it or the capabilities to meet data privacy regulations, there is little point in organizations developing conversational applications.
Building on a platform allows for enterprises to easily take the time, resources and data already invested in one project and reuse it in another. New applications are built faster, delivering benefits to customers before your competitors, while giving you even more data on which to increase your lead.
In the past, creating conversational AI applications has required specialist skills, significant resources and a great deal of time.