AI Workflow Scan
- One Zapier, Make, n8n, or Power Automate workflow
- AI provider and data exposure review
- Risk score and ranked findings
Workflow risk evidence for AI automations
AI Workflow Risk Scanner
Find unsafe AI automations before they break customer, ops, or compliance workflows. Start with a focused scan from sanitized exports, screenshots, or workflow descriptions.
1 workflowZapier, Make, n8n, or Power Automate by request
3 outputsRisk score, remediation checklist, evidence pack
No loginStart from sanitized evidence before any integration is needed
Risk preview
Score the workflow before anyone connects a sensitive system.
This browser-side preview does not upload data. It turns a few workflow facts into a preliminary risk readout and an evidence list for a full workflow scan.
Focused scan
Start with one workflow, then decide what needs monitoring.
The scan is intentionally concrete: one risky workflow, practical remediation, and evidence your team can hand to a founder, client, or compliance reviewer.
Evidence Pack
- Inventory record and workflow map
- Approval and audit-trail checklist
- Provider settings and retention notes
Recurring Monitoring
- Re-scan on workflow changes
- Monthly control drift report
- Exception and approval evidence tracker
System scope
Workflow surfaces first. AI providers inside the scan.
Zapier, Make, and n8n create the fastest path to a concrete workflow report. OpenAI, Anthropic, and Microsoft matter because they shape model, key, data, and audit risk inside those workflows.
Zapier, Make, n8n
Strong starting surfaces because teams can provide sanitized exports, screenshots, step lists, and run history without granting account access.
OpenAI, Anthropic, Microsoft
Reviewed as provider/control layers: key scoping, data retention posture, auditability, prompt exposure, tool boundaries, and approval gates.
Power Automate
Supported by request for Microsoft-heavy workflows that need DLP, environment, and audit-log review.