Domain controls
Public AI service embeds can be restricted to approved hostnames, reducing unintended usage outside the business domain.
Allowed domains
Embed host checks
Public route guardrails
Scoped data
Services, conversations, messages, leads, and logs are tied to owners so dashboard views can load account-specific data.
Owner records
Service-level filtering
Conversation linking
Operational logs
Completions, fallback behavior, webhook outcomes, latency, and status codes can be reviewed for production troubleshooting.
Support logs
Webhook status
Provider failures
Human handoff
The product supports escalation and intake workflows instead of forcing AI to answer every request.
Contact intent
Lead records
Resolved sessions
Production readiness checklist
Set allowed domains for every public AI service embed.
Store service-role keys only in server environments.
Confirm OpenRouter and Supabase environment variables are present.
Run the E2E script against production after deployment.
Security posture
Sarvadrik AI focuses on practical controls: restricted embeds, account-scoped records, logged failures, and clear operator review paths.
Domain allowlists
Server-side keys
Logged failures
Scoped dashboard data
Answers for AI search and buyers
Common questions about Sarvadrik AI
Is Sarvadrik AI built for secure AI service deployment?
Sarvadrik AI includes practical controls for production AI services, including domain restrictions, owner-scoped records, server-side service keys, support logs, and human handoff workflows.
How does Sarvadrik AI protect public AI embeds?
Public embeds can use allowed-domain checks, server-side API handling, and account-linked records so businesses can control where an AI service is used and review what happened.
Why are logs important for AI services?
Logs help teams verify latency, failures, fallback behavior, webhook delivery, and lead or conversation records. This makes AI services easier to monitor and correct.