AI that’s more than your average chatbot
Watson is built on deep learning, machine learning, and Natural Language Processing (NLP) models to elevate customer experiences and help customers change an appointment, track a shipment, or check a balance. Watson also uses machine learning algorithms and asks follow-up questions to better understand customers and pass them off to a human agent when needed.
Get better results from your chatbot
Optimization and automation
AI that finds insights
Use machine learning to uncover common topics in existing chatlogs and quickly train your AI chatbot on the most frequent issues and questions.
Give customers relevant suggestions
Offer related options when customers seem stuck or don’t know what to do next.
Optimize with autolearning
Improve the customer journey without the need for manual intervention, as Watson learns from common conversational paths and choices.
AI that understands
Natural Language Understanding (NLU)
Use our best-in-class NLU models to enable greater accuracy of customer inquiries from day one.
Intent clarification with disambiguation
Reduce frustration by asking customers for context when their questions or responses aren’t clear.
Keep track of conversation with digression
Easily manage multiple topics during a customer interaction, to separate the main goal from conversational asides.
AI for a better experience
Connect to your CRM systems
Built with industry-leading natural language processing (NLP) that can connect to your existing CRM systems like Salesforce, Cisco, Avaya, and more.
Interact on any channel
Provide your customers with fast, accurate information over the phone, SMS, web, or any messaging platform.
Tune your assistant to better understand your company-specific vocabulary and domain terminology.
We conducted a thorough evaluation of 15 AI virtual assistant solutions and found Watson Assistant to be the best and most accurate.
Technical Director, Artificial Intelligence Senior Architect