On the Radar: Kore.ai

Florida startup Kore.ai provides an enterprise-focused chatbots development and hosting platform, and a collection of pre-built “Smart Bots” that addresses key industry- and line-of-business-focused use cases.


Headquartered in Orlando FL, Kore.ai is a two-year-old start-up that provides technologies which take advantage of AI, natural language processing and bots to help organisations improve digital customer interactions, business processes and employee work through conversational interfaces.

What does it do?

Kore.ai’s offering comprises the Kore.ai Bots Platform, which enables organisations to design, deploy and manage chat-based bots which can be deployed in any communication channel; and a set of focused, out-of-the-box “Smart Bots” (as well as a store of 150+ additional pre-built bots) designed to help organisations accelerate implementation and get immediate value from implementing bots.

Kore.ai Bots Platform

The Kore.ai Bots Platform is a platform-as-a-service offering that runs in the cloud or on-premise that enables organisations to design, develop, test and manage chatbots for internal or customer-facing business scenarios. These bots can then be deployed in one or more of a range of communications channels, including messaging and collaboration services such as Cisco Spark, Facebook Messenger, Skype, Slack, Twitter and Workplace by Facebook, or other channels such as SMS, email, your company website or a mobile app. An interesting feature of this omni-channel approach is that a single conversation can span different channels – starting on an organisation’s website, and then finishing on SMS, for example.

Kore.ai bots can carry out different tasks including:

  • Actions – data-entry tasks, initiated by an individual, in which the bot collects, modifies or posts information to a system of record on their behalf, either through a single command or through a guided conversation.
  • Alerts – notifications sent to users from systems of record or Internet-enabled things that can be triggered based on time, activity or other filters. Actions can also be linked to alerts to proactively suggest a next step.
  • Information/reports – these tasks enable lookups and deliver information summaries either on-demand or at scheduled intervals.
  • Knowledge/FAQ – enabling bots to query pre-defined information sources (including websites, databases and unstructured documents) to respond to an individual’s question.
  • Dialogs – where bots help execute business logic-driven workflows, either with or without a user’s direction. Workflows are designed using an in-built, visual Dialog Builder tool, and can include requests with parallel and nested intents (or tasks) so that the bot can change direction mid-conversation, while still returning to execute an original request.

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