How a Conversational AI Platform Works

Product Features Summary

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Conversational AI Tools Make Bot Building Easy

Our chatbot platform provides an array of tools to support a low-code approach to building your Conversational AI bots, from managing different NLP engines to configuring your complete bot experience.  Start with one of our Bot Blueprints, hook up data, and then deploy in minutes. Whether you’re creating your first chatbot solution, optimizing existing solutions, or scaling bots across your business, our platform supports you at every stage of your journey. 

Platform Brochure

Choose the NLP That Works for Your Use Cases

The world is your oyster when it comes to conversational AI. We support all the major public NLP engines – Amazon Lex, Google DialogFlow, Rasa, IBM Watson, and Microsoft Luis. A common definition format for your chatbots allows you to easily lift the definition and training data from one NLP engine and shift it to another. This allows maximum portability and re-use without any lock-in. Define your bot experience once. It gets translated into primitives supported by your target channels so your bots can engage where your customers or employees are, whether it’s SMS, Web, Mobile, Facebook Messenger, WhatsApp, Microsoft Teams, Slack, Skype, Alexa, or any other digital channel.  

Chatbot Use Cases

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Manage and Orchestrate Multiple Conversational AI Bots.

Our Bot Orchestrator blends independently managed chatbots into a unified experience, routing to the bot best equipped to respond to user requests.  It also monitors the ebb & flow of conversations and enables all bots to support language detection, translation, sentiment analysis, PHI/PII detection, and human escalation.

Bot orchestration is critical to navigating operations across multiple bots and to overcoming intent limits as your chatbots handle more complex use cases. You can scale your business horizontally with thin-sliced bots by blending together FAQs, business processes, and transactions.
Scaling Bots with NLP Orchestration

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Monitor Bot Success with Analytics.

Measure the success of your bots and conversations with out-of-the-box metrics on chats, events, and bots. Define your own success criteria with custom goals and conversions. Improve on your bot experience by catching missed utterances using missed input workflows. 

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You Don’t Have to Be a Data Scientist.

The beauty of using a conversational AI platform is that you don’t have to be a data scientist or hire a team of data scientists because all the AI you need is made available from the bot platform. Our solution provides an open and flexible AI architecture that allows us to arbitrate between public NLP engines, use 3rd party AI frameworks, or allow you to use your own AI engine.

It Keeps Getting Better.

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