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 low-trust-friction scan from sanitized exports, screenshots, or workflow descriptions.
1 workflow
Zapier, Make, n8n, or Power Automate by request
3 outputs
Risk score, remediation checklist, evidence pack
No login
Manual-backed intake before deep integrations
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 paid manual scan.
The first paid product
A manual-backed scan now, monitoring later.
The first offer is intentionally narrow: one risky workflow, practical remediation, and evidence that an operator 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
Paid Monitoring
- Re-scan on workflow changes
- Monthly control drift report
- Exception and approval evidence tracker
Targeting decision
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
Best first surfaces because customers can provide sanitized exports, screenshots, step lists, and run history without granting account access.
OpenAI, Anthropic, Microsoft
Scan provider posture when those systems power the workflow: keys, retention, logs, model choices, approvals, and tool permissions.
Power Automate
Strong expansion path for Microsoft-heavy teams, but broad Microsoft governance should wait until paid scan demand is proven.