Scaling Content Moderation Across 500K Users With AI

500,000 Users. One Moderation Team. Drowning in Alerts.

Managing Viva Engage threads across half a million users wasn't a moderation challenge. It was a signal-to-noise problem. Alerts were constant, undifferentiated, and overwhelming. Real issues were buried under notifications that didn't matter. Admins were spending hours on triage that should have taken seconds — and still missing what actually needed attention.

Manual moderation at that scale doesn't just strain resources. It fails.

Built to Filter Noise, Not Just Volume

We built an AI-powered moderation system using Azure AI Services and SharePoint Framework that scans text, images, and documents in real time across the entire platform.

The system doesn't just process content — it prioritizes it. Alerts are delivered based on actual severity, not default settings. Low-priority items route to a daily digest instead of clogging inboxes. Admins control their own thresholds, tuning the system to their environment without requiring technical intervention. Real issues surface immediately. Everything else waits its turn.

20 Hours to 60 Seconds. Moderation That Finally Scales.

Alert processing time dropped from 20+ hours to under 60 seconds. The system now monitors 10,000+ posts daily and generates 1,500 relevant alerts — the ones that matter, not everything that triggers a keyword.

Admins spend less time on triage and more time on response. The noise is gone. The signal is clear.

That's the difference between a moderation system that processes content and one that understands it.