CASE STUDY

Multi-Framework Audit Readiness Without Manual Evidence Tagging

Customer Type: Mid-to-Large Enterprise with Recurring Audits

Primary Framework(s): PCI DSS + SOC 2 + ISO + AI Governance

Workflow Type: Evidence Ingestion → Control Mapping → Auditor Readiness

Customer Profile

  • Enterprise with multiple certifications and recurring recertification cycles
  • Evidence spread across GRC tools, ticketing, cloud consoles, and document repositories
  • Audit timelines range from quick SOC 2 refreshes to intensive PCI DSS periods

The Challenge

  • PCI DSS recertification created long, painful evidence collection windows
  • Evidence existed, but wasn’t mapped to controls in a reusable way
  • Manual tagging inside GRC tools was slow and inconsistent
  • Policies and documents lived in folders with no actionable framework view

How They Used CMAI

  • Submitted policies, scan outputs, configs, and operational evidence artifacts
  • CMAI mapped each artifact to relevant controls across multiple frameworks
  • Stored evidence as “control-addressing” objects for fast retrieval
  • Enabled instant views of “which evidence satisfies which controls”
  • Reduced manual mapping/labeling effort inside existing GRC workflows

Implementation Pattern

Docs + Scans + Config Exports → CMAI API → Control-Mapped Evidence Index (GRC / Auditor Portal)

Results Delivered

  • Months → Weeks for evidence preparation on high-burden audits
  • Eliminated Manual Evidence Tagging inside GRC workflows
  • Continuous Readiness instead of point-in-time scrambles

Why This Was a Fit

They weren’t missing evidence—they were missing the mapping layer that makes evidence instantly usable across frameworks.

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Drop-In Compliance Annotation (Universal Pattern)

CMAI is deployed as a stateless API inside existing pipelines to automatically tag findings, policies, and questionnaires wit structured control mappings—without requiring platform migration or centralized data storage.