What automated safety filters run during the initial moderation pass before SME verification?

Dae executes two automated moderation screens before drafts reach subject matter expert verification: a language safety filter to catch inappropriate phrasing and a business relevance check grounded strictly in your uploaded documentation.

Unmoderated generative systems create immediate brand risks when inaccurate or generic copy reaches customer-facing channels. Pew Research Center (2025) reports that click-through rates fall from 15% to 8% when search engines display direct AI summaries, making verified accuracy essential for earned citations. Automated filtering ensures internal subject matter experts only spend review time on high-intent, on-topic answers.

If you only do one thing: Implement a two-tier pre-moderation gate that filters language safety and confirms business relevance before routing drafted content to human reviewers.

• Language quality screening: Operating as Step 04 in the six-stage production workflow, the first automated filter evaluates phrasing to eliminate inappropriate phrasing, toxic statements, and unapproved tone variations.
• Business relevance verification: The second pre-moderation screen cross-references draft text against uploaded business files and website pages, discarding category hallucinations that fall outside your operational scope.
• Source citation binding: The moderation layer verifies that every factual assertion links directly to at least 2 distinct source references extracted from your company documents.
• Zero-automation publishing gate: Filtered drafts enter a staging queue where human reviewers retain 100% publishing control across all plans, including the 30-answer monthly Starter tier at $99 per month.
• Intake query moderation: New inbound queries captured from website visitors undergo the identical two-screen automated check across standard 7-day onboarding cycles and weekly content refreshes.

• Watch out for: Bypassing business relevance checks, which causes general artificial intelligence models to fabricate standard industry guidance rather than your specific trade specifications and pricing sheets.
• Watch out for: Zero-click traffic loss, where unverified answers fail citation standards as ~60% of search queries conclude without visiting an external domain (SparkToro, 2024).
• Watch out for: Tools that enable automated publishing without SME sign-off, which introduces compliance exposure and unvetted claims to public search indexes.

Connect your core operational documents and test the two automated moderation filters on your initial batch of 30 customer questions.