Last updated June 2026
TL;DRSarvadrik AI support covers AI service setup, embeds, knowledge configuration, customer intake, leads, logs, provider errors, webhook delivery, and production readiness. Start by reproducing the issue and checking logs.

Support

Help for setup, testing, and production fixes.

Use support when an AI service is not behaving correctly, an intake flow is not linking, an embed is blocked, or a production check needs review.

SAT

Sarvadrik AI Team

AI Services Platform· Updated June 2026

Common issue

Embed setup

Debug source

Logs and messages

Best test

E2E script

Priority

Production flows

AI behavior

Review system prompts, knowledge items, fallback settings, and whether the workflow has enough context to answer correctly.

Prompt review
Knowledge checks
Fallback behavior

Lead capture

Confirm capture is enabled, contact intent is detected, and records include conversation and visitor context.

Contact form
Lead records
Conversation linking

Embeds

Check allowed domains, script placement, interface appearance, and whether the production URL matches the service settings.

Allowed domains
Widget load
Styling settings

Provider and API

Verify environment variables, OpenRouter availability, service role access, support logs, and webhook results.

API keys
Latency logs
Webhook status

Before asking for support

Send one test interaction and note the conversation id if available.
Check the logs page for failed or fallback chat completion events.
Submit one test intake or lead and confirm it appears in the dashboard.
Run the E2E script against the environment you deployed.

Support goal

The fastest support path is to reproduce the issue, identify the exact failed step, and confirm the database record that should have been written.

Reproduce
Inspect logs
Verify rows
Retest flow

Common questions about Sarvadrik AI

Ready to evaluate an AI service workflow?

Configure a service, connect approved knowledge, and test the experience before publishing.