Automotive · Review moderation
AI review moderation for automotive dealers
Production AI moderation for dealership review volume - policy-aware classification, escalation queues, and human gates that clear security review.
Problem
What breaks without production rigor
Dealer teams drown in UGC and review queues. Manual moderation does not scale, and off-the-shelf filters miss policy edge cases that create brand risk.
Approach
How Sanidhyam ships it
We ship an agentic moderation pipeline with allowlisted tools, citation-backed decisions where needed, and human escalation for low-confidence cases - the same pattern behind DealerVoice (3,000+ AI-moderated reviews).
- Tier-1 volume handled by AI with policy packs
- Escalation queues for edge cases humans still own
- Measurable ops time returned to sales and service teams
FAQ
Common questions
Is this a chatbot widget?
No. It is a production moderation system with classification, queues, and auditability - not a public chat demo.
How do you handle false positives?
Low-confidence cases escalate to humans. We define thresholds in discovery and tune with weekly staging demos.
Next
Scope this use case
Written scope before code. Weekly staging demos. Honest go/no-go.