Compliance turns AI ideas into governed workflows: data boundaries, human approvals, audit trails, retention, disclosures, consent, and deployment readiness.
HTTPS, privacy, cookie consent, accessibility basics, AI disclosure, contact/legal pages, review capture, and messaging consent.
Model policy, vendor rules, data classification, audit logging, human-in-loop design, retention, and regulated workflow review.
Issues by severity, owner, business risk, fix effort, and recommended due date.
What AI can observe, draft, recommend, or act on, and where approval is mandatory.
What gets logged, where logs live, who reviews them, and how incidents are handled.
Approved tools, retention settings, prohibited data flows, fallback rules, and evaluation criteria.
Customer messaging consent, opt-outs, call recording notices, and campaign risk flags.
Public cloud, private cloud, hybrid, or on-prem recommendation based on risk.
Start with a scan for SMB or an assessment for enterprise.