When the question for your enterprise business is no longer “To bot, or not to bot” but instead is “Which bot?”, where do you start to find the answer?
First, you must understand what large enterprises require in a chatbot, or a virtual assistant. Consider these 7 guidelines for choosing a virtual assistant for your enterprise brand.
- Enterprise virtual assistants should have secure multifactor authentication through biometrics to ensure your customers are who they say they are without ever leaving the virtual agent conversation. Enterprise chatbots must also meet the stringent data privacy and security standards of large enterprises.
- The VA must be implemented across the whole of a robust digital engagement platform – web, mobile web, mobile app, SMS, Facebook Messenger, IVR, social, and IOT. Chatbots can be instrumental in deflecting calls from IVR to digital channels, or in fielding common questions on digital channels, leaving the more complex customer tasks to a live chat agent. The VA should also have visibility to the full user journey, giving them context of the customer’s inquiry, enabling them to resolve the issue more quickly.
- Enterprise chatbots must be connected to live assistance. Nothing is more frustrating to a customer than for a virtual assistant to provide irrelevant responses to their inquiries. You must provide customers with real human contact via live chat when issues are more intricate than a frequently asked question. Plus, the live chat agent can be available to help the chatbot behind the scenes. At Nuance, this is called Nina Coach.
- The VA must be continuously learning, not only from its own interactions, but more importantly, from live chat conversations. Chat transcripts contain person-to-person conversations that provide valuable insights from which the VA can learn and grow.
- Enterprise virtual assistants should come with full access to professional services from experts who understand the inner-workings of virtual assistance in an omni-channel environment. A virtual assistant should never be a set-it-and-forget-it product when it comes to the many variables of your enterprise customer engagement.
- An enterprise VA must be powered by Natural Language Understanding, enabling conversations between humans and computers. On an enterprise scale, NLU needs to have capacity for global languages, grammar accuracy checking, content variations, and should be scalable to accommodate the vastness of global communications.
- Enterprise chatbots should integrate analytics to view the big picture and seize optimization opportunities. Rich data, reporting and analytics provide powerful insights that are crucial to performance improvements.
With customer loyalty and revenue at stake, selecting the right virtual assistant for your organization can make or break your customer service success. Using the above guidelines can get you off on the right foot towards your selection.