AI Censor
Collapsed moderation bottlenecks by 81%, reducing 3-day editorial cycles to under 4 hours through automated content safety guardrails while maintaining media compliance standards.
The Challenge
Content moderation for a streaming platform with thousands of new titles requires extensive manual review. Editorial teams spent 3+ days reviewing each piece of content for compliance, creating massive bottlenecks in the content pipeline and delaying releases.
The Solution
- Deployed an automated AI-based censoring system for JioTV+ content compliance
- Defined strict content safety guardrails that match editorial standards programmatically
- Reduced the review cycle from 3 days to under 4 hours while maintaining compliance quality
- Designed end-to-end workflow from content ingestion to automated flagging and human-in-the-loop review for edge cases
Impact
81%
Bottleneck Reduction
<4 hrs
Review Time (from 3 days)
Key Decisions
- Human-in-the-loop for edge cases: Fully automated for clear violations but routes ambiguous content to human reviewers, balancing speed with compliance accuracy.
- Guardrail-first design: Defined content safety rules as explicit guardrails rather than training a binary classifier, making the system transparent and auditable.
Tech Stack
Python
REST APIs
Content Safety APIs