BotCore

Lets the bot guide the user during the conversation by providing helpful hints and options, allowing control and direction of the user's path.

Connects multiple bots within an enterprise, including LUIS, QnA Maker, Power Virtual Agents, and other 3rd party bots, using unified NLP to route incoming requests.

Allows creation of a bot with a name, enterprise branding, and matching tone of voice to enhance adoption and create a more human-like interaction.

Integrated with Microsoft Bot Framework Composer and Language Generation (LG) for building dialogs using these tools without technical development hassle.

Provides 5 parameters for enterprise security: User Authentication, User Authorization, Multi-Factor Authentication, One-Time Authorization, and Channel Authorization.

Enables building complex conversations using an integrated knowledge graph with multi-functional nodes to handle complex user inputs and jump to the correct conversational path.

Bots can respond to users using both text and rich media formats, defined by Message Definition Language (MDL).

Allows bots to initiate conversations with users based on defined business rules or triggers.

Makes bots more graceful when errors occur and provides detailed information to the user if they get stuck.

Provides industry-standard means for integrating the bot with virtually any Line of Business (LOB) systems and extracting data from them.

Continuously tracks the sentiment of user phrases and provides a conversation-level sentiment score via reports.

Includes various modules, modes, and logs for managing and maintaining the bots within the enterprise.

The platform can be fully deployed in both on-premise environments and on Microsoft Azure.

Allows the platform to connect to and aggregate bots built on different technologies.

Specifically mentions the ability to bring together bots from these different platforms.

The solution can be integrated with an organization's existing Line of Business applications.

BotCore can function alongside existing older systems.

The platform can efficiently handle data from various sources.

Connects with an organization's established Microsoft AI cognitive services.

Provides an abstraction layer for industry-standard AI cognitive services across text, speech, vision (image), and custom machine learning algorithms, ensuring the rest of the bot implementation is unaffected by changes in these services.