How to automate knowledge base updates with AI

Automating knowledge base updates with AI can significantly enhance the accuracy and efficacy of self-service customer support, as demonstrated by the CodeWords tool, which integrates codebase, release pipelines, and help centers into a streamlined workflow. This system detects product changes, identifies which help articles need updates, generates drafts using large language models (LLMs), and publishes these updates, optionally involving human review to ensure accuracy. The process tackles the common issue of outdated documentation by synchronizing product changes with documentation updates, thus reducing the gap between feature releases and corresponding documentation changes. Regular staleness audits and automated updates of UI screenshots further ensure that articles remain current and relevant, enhancing the effectiveness of self-service options and reducing reliance on live support. The approach discussed is applicable across various knowledge base platforms, enhancing documentation health and maintaining high article accuracy over time.

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