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User Guide: Bot Builder

An intelligent Bot that discovers patterns, uses Machine Learning to process big data, and learn from past events to recommend, approach, predict risks, automate tasks and assists with making key business decisions.

  • The development life-cycle consists of the following:
    1. Creating a custom skill using the KLoBot Skill Builder.
    2. Assign the needed skills to the chatbot.
    3. Deploy the bot to different channels such as SharePoint, Teams, Slack, or Messenger.

An intelligent Bot that discovers patterns, uses Machine Learning to process big data, and learn from past events to recommend, approach, predict risks, automate tasks and assists with making key business decisions.

  • Build a Bot.
  • Create and assign a skill.
  • Deploy and Connect to channels.
  • Analyze the results.

For quality assurance and best practice, it is advisable to create a development or DEV bot to test all the skills built in the chatbot.

  • Create a test bot and name the bot Development or DEV
  • Test and ensure that all skills return all the desired results from the skill builder
  • Deploy the chatbot to different channels and continue to test the skills
  • Once skills have been tested and confirmed, create and publish a Production or PROD chatbot
  • Deploy the PROD chatbot to different channels
  • Do some light testing to ensure quality