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Category

Business Management

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Beam.ai

AI Agent Integrations

Document360 logo

Document360

AI Agent Integrations

Document360

Update Document360 articles as product details change, automating knowledge base upkeep, and routing outdated or disputed content to a human for review.

Article Updates From Product Changes

Document360 hosts the help articles a support team and customers rely on, but those articles drift out of date as a product changes underneath them. A Beam agent watches for a defined product change, such as a feature update or a pricing change in the source system, and checks whether a related Document360 article references the old detail. Where a match is clear, for example an article naming an old plan tier, the agent updates that line and notes the change in the article's revision history. Where the match is uncertain, the agent flags the article for a writer to check.

Category and Version Organization

Document360 organizes articles into categories and can maintain separate versions for different product releases, so the same topic may need updating in more than one place at once. A Beam agent reads which categories and versions reference a given topic before making a change, so an update to a current release does not silently miss an older version still supported for some customers. It applies the same edit consistently across the versions the customer has flagged as active. Where a version is unclear, deprecated, or the categorization itself looks wrong, the agent leaves that instance untouched and asks a person to confirm.

Reader Feedback Signals

Document360 collects a simple was this helpful response from readers on each article, which is a signal that content may be unclear or outdated even when nothing in the product has changed. A Beam agent reads articles with a low or declining helpfulness score on a schedule and compiles them into a list for the content owner, along with the article's last update date and current category. It does not rewrite the article itself, since interpreting reader feedback into a content fix requires judgment. The agent's role stops at surfacing the pattern; a writer decides what, if anything, to change.

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Start building AI agents to automate processes

Join our platform and start building AI agents for various types of automations.

Start today

Start building AI agents to automate processes

Join our platform and start building AI agents for various types of automations.