ProofLayer AI · Governance Practice at Data Fusion Analytics

ProofLayer AI: From AI Governance Policy to Audit-Ready Evidence

ProofLayer AI helps enterprises identify and fix technical gaps in identity attribution, access control, lineage, auditability, observability, policy enforcement, and governance evidence.

Tier 1 · Free · Self-Service

10-Minute AI Governance Readiness Assessment

Free self-service assessment for a single stakeholder.

  • Overall readiness score
  • Pillar-level maturity profile
  • Top risks
  • Recommended next step
Tier 2 · Paid Entry Offer

AI Governance Auditability Assessment

Paid enterprise assessment for multi-stakeholder maturity scoring, role-based variance, auditability gaps, evidence readiness, and Blueprint reporting.

  • Multi-stakeholder maturity scorecard
  • Legal, platform, and security variance analysis
  • Identity and access-control gap review
  • Lineage and traceability review
  • Audit evidence gap matrix
  • Print-ready AI Governance Blueprint
  • 90-day remediation roadmap
Tier 3 · High-Velocity Implementation

Control Remediation Sprint

A 30-to-60 day implementation engagement to close top technical control gaps across identity attribution, access control, lineage, logging, observability, and governance evidence.

  • Identity attribution & OBO redesign
  • Audit logging improvements
  • Access-control cleanup
  • Data lineage hardening
  • Pipeline observability
  • Policy-as-code implementation
  • Governance evidence dashboards
Tier 4 · Recurring Partnership

AI Governance Engineering Retainer

Recurring advisory and governance engineering support for AI systems, cloud data platforms, compliance evidence, architecture reviews, and control drift monitoring.

  • Monthly architecture reviews
  • AI use case governance reviews
  • Compliance drift monitoring
  • Quarterly maturity evaluations
  • Executive reporting
  • Control evidence support
Why ProofLayer AI sits inside Data Fusion Analytics

AI governance cannot be proven through policy alone.

Governance evidence depends on the underlying data platform — identity controls, access policies, lineage, metadata, quality checks, audit logs, and observability. Data Fusion Analytics combines governance strategy with hands-on platform architecture, so remediation isn't a slide deck — it's a shipped control.