conversable product suite

Ice

Interactive Conversation Editor

ICE is a visual editor for building complex conversational flows that can include integration with external systems.

Your team can choose the platform you’re designing for, design custom conversation flows, define and configure external integrations and analyze user behavior.

Learn more

CMS

Content Management System

Centralized system to manage any language and assets of your conversational experience. Easily find and change any text, images or media that are used.

Re-use content across channels and platforms, change in one place.

Learn more

Aqua

Answering Queries Using AI

Automated responses in conversational interfaces are a valuable compliment to customer care teams. AQUA (Answering Queries Using AI) responds instantly to answer questions and efficiently delivers the next generation customer service.

Learn more

Conversable platform features & services

Conversable and its partners help enterprises navigate the evolution of an enterprise’s conversational flows, messaging channels, and desired feature roadmap including deep system integration with legacy systems with both enterprise-grade security and support.

conversation channels

One conversational model. Many flows Many platforms.

system integration

Conversable’s platform exposes an API Interface needed for the conversational model and enterprise client. In some cases, Conversable or a partner builds connectors to the legacy systems necessary to deliver the data needed to respond to various conversational requests while conforming to the API specification. The Conversable API Interface can grow and change as new conversations and nodes are requested by users and the client.

contextual vs. general intent

Much of the bot hype is about the concept of general intent where users type seemingly endless and random text into a chat interface and get magical, highly complex answers. But this is not how people use messaging in the real world.

messaging is contextual

  • First contact is almost always disambiguation. For example, a greeting that suggests “Order, Help, or Talk to an Agent.”

  • From there the user is put in a funnel with significant and increasing context through the entire interaction.

short-hand & emojis

People use short-hand and emojis when they message people.

  • They will expect these in bot experiences.

  • Specialized Natural Language Proccessing (NLP) handles these in context.

  • Messenger and Twitter feature advanced functionality which allows for “tap not type” experiences.

specialized natural language

The Conversable platform identifies points at which the user interaction fails and can be optimized with specialized natural language understanding to allow for faster and more efficient traversing of the conversational flows.

advanced system features

Using a combination of natural language understanding and supervised machine learning, the system can learn what users are looking for and suggest optimizations. Delivering more advanced AI and ML requires substantial data accumulation over many different interactions.