Clean source material before asking AI to use it

What this solves

AI workflows fail because the source material is old, contradictory, incomplete, or spread across too many places.

• The team disagrees about which document is current.
• Saved replies or SOPs conflict with what people actually do.
• AI drafts sound plausible but miss important context.

What AI is good at here

• Finding duplicate or conflicting source material.
• Summarizing gaps and unclear instructions.
• Suggesting a cleaner approved-source structure.

What AI should not own

• Humans must approve the final source of truth.
• AI should not decide policy, pricing, legal, clinical, or financial rules.

Best first implementation

• Choose one knowledge area that drives real customer or team questions.
• Tag each source as approved, outdated, duplicate, or needs review.
• Only connect AI to the approved set.

What good looks like

• AI outputs improve because the source material is cleaner.
• The team knows where approved answers live.
• Review becomes easier because contradictions are visible.

Common mistakes

• Indexing everything and hoping AI sorts it out.
• Treating source cleanup as optional when trust depends on it.