Do subject matter experts retain final sign-off authority before any draft is pushed to the live website?

Subject matter experts retain mandatory manual sign-off authority before any draft reaches the live website, ensuring every published asset passes internal human review across all service tiers starting at $99 per month.

Traditional agency content creation costs $100 to $300 per hour, yet fully automated publishing risks hallucinated claims and inaccurate specifications. With Gartner forecasting a 50% drop in organic search traffic by 2028 for brands that fail to adapt to AI search summaries, commercial teams need high-velocity question answering without surrendering editorial control. Dae prevents unverified content from going live by keeping internal subject matter experts directly in the publishing loop.

If you only do one thing: Establish a designated subject matter expert sign-off step in your publishing workflow so that zero machine-drafted answers go live without verified human approval.

• Governance workflow: Dae routes content production through six distinct stages—Ask, Understand, Answer, Approve, Publish, and Build authority—requiring explicit internal approval at stage four before any entry goes live.
• Human review tiering: Every subscription level, from the $99 monthly Starter tier (30 answers monthly) to the $549 Growth tier (150 answers monthly), requires manual human approval on each answer before deployment.
• Two-layer moderation architecture: Drafts synthesized from source documents pass through automated quality checks before entering the subject matter expert queue for final verification.
• Controlled directory deployment: Approved drafts publish to a hosted subdomain or custom directories like `/answers` on your domain, scaling output across 30 to 750 verified answers per month depending on plan level.
• Timestamped source attribution: Every live entry cites its exact source documents and records the reviewer verification date, providing verified context for search algorithms and AI engines.

• Watch out for: Approval bottlenecks caused by assigning review queues to a single executive rather than distributing draft checks across multiple departmental specialists during weekly or daily refresh cycles.
• Watch out for: Unverified automated publishing, which risks circulating inaccurate pricing ranges, technical specifications, or warranty terms across search engines and AI summary engines.
• Watch out for: Skipping the initial document ingestion phase during the 7-day onboarding period, which forces draft generation to rely on generalized category patterns instead of proprietary business data.

Designate primary and backup subject matter experts to manage your approval queue, and complete the initial document ingestion during the seven-day onboarding window.