Knowledge

Governance & quality

Keep knowledge accurate, scoped, and reviewable so automation stays trustworthy.

Why governance matters

Workflows and bots can only be as correct as the knowledge they’re allowed to reference. A small amount of curation prevents:

  • contradictory answers across channels
  • low-trust automation (“the bot makes things up”)
  • operator confusion in Shared Inbox
  • One canonical source per topic: if two items cover the same policy, pick one and archive the other.
  • Use Q&A for critical answers: it’s the most deterministic format.
  • Keep websites curated: choose stable, canonical URLs and review them periodically.
  • Tag consistently: a small controlled vocabulary beats free-form tagging.

A lightweight tagging system

Start with 5–10 tags and resist adding more unless you can explain the new category:

  • policy
  • pricing
  • support
  • billing
  • legal
  • onboarding

Lifecycle: active vs archived

Knowledge items have a status:

  • active: eligible for selection and use in flows/bots
  • archived: kept for history but should not power new automation

Archiving is preferred over deletion when you want an audit trail of what changed.

Review cadence

  • Monthly: scan for outdated pricing/hours/refund rules.
  • After major product changes: update Q&A first, then websites/files.
  • After workflow changes: verify the sources referenced by Knowledge bot nodes still match intent.

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