Support & FAQ
Troubleshooting
Workflow Not Triggering
Symptoms: Workflow is active but never executes.
Checklist:
- Confirm the workflow status shows Active (green dot in Workflows list)
- Open the trigger node — verify credentials are not expired
- For webhooks: send a test request and check the Execution Log for a new entry
- For IMAP: verify the mailbox connection in Credentials → Test
- For schedules: confirm the cron expression is valid and the timezone is correct
Common cron mistakes:
# Wrong — runs every minute (probably not intended)
* * * * *
# Right — runs at 9:00 AM every weekday
0 9 * * 1-5
Node Returning Empty Data
Symptoms: A node produces {} or [] output unexpectedly.
Steps:
- Click the node → Test Node to inspect raw output
- Check if the upstream node is actually returning data
- Verify field name mappings — field names are case-sensitive
- For HTTP Request nodes: check the API response in the Execution Inspector
AI Agent Looping or Not Stopping
Symptoms: Agent runs for many iterations and never produces a final answer.
Fix:
- Set Max Iterations to a safe limit (e.g., 10)
- Make the system prompt more explicit about when to stop
- Add a fallback condition after the agent node to handle max-iteration exits
Credential Authentication Failures
Symptoms: 401 Unauthorized or 403 Forbidden errors from external services.
Steps:
- Go to Settings → Credentials → [Credential Name] → Test
- If OAuth2: click Reconnect to re-authorise
- Check if the API key has been rotated on the service's side
- Verify the credential has the required scopes/permissions
SAP MCP Connection Issues
Symptoms: SAP tools fail with connection or authentication errors.
Steps:
- Verify the SAP MCP Server is running:
curl http://your-mcp-host:3001/health - Check the server logs for SAP RFC or OData errors
- Confirm the SAP RFC user has the required authorisation objects
- For S/4HANA Cloud: verify the OAuth2 token URL and client credentials are correct
- Re-test the connection in Settings → MCP Servers → [Server] → Test
High Execution Times
Symptoms: Workflow takes much longer than expected.
Investigate:
- Open the Execution Inspector — look for the slowest node
- For HTTP nodes: check if the external API is slow (add a timeout)
- For AI nodes: model latency is normal (2–10s per call); consider caching results
- For loops over large arrays: enable Batch Mode to process N items at a time
Still Need Help?
If you can't resolve the issue from this guide, [contact our support team](/support) with:
- Workflow ID
- Execution ID from the failed run
- Error message (screenshot or copy-paste)
- Steps to reproduce