Automated compliance succeeds when AI is a governed system of action: it grounds judgments in authoritative sources, encodes rules as policy‑as‑code, and executes typed, auditable controls and remediations with approvals and rollback. Focus on continuous evidence collection, control monitoring, issue remediation, and report generation—measured by cost per successful action (controls verified, gaps remediated, filings submitted) … Read more
Introduction: From point-in-time audits to continuous, evidence-backed compliance Traditional compliance reporting is slow, manual, and error-prone—collecting screenshots, exporting logs, and reconciling spreadsheets every audit cycle. AI-powered SaaS shifts this to continuous compliance: automatically collecting evidence from systems, mapping it to controls across frameworks, generating auditor-ready narratives with citations, and orchestrating remediation—under strict governance, privacy, and … Read more