Three Pillars of AI Governance
Each addresses a different question your AI deployment will be asked. Together they form a defensible posture.
01
Decision Provenance™
"How was this decided?"
Every AI-assisted recommendation is cryptographically sealed and independently verifiable — without requiring an account. The inputs, methodology, model version, and reasoning trace are bound into an artifact that survives any later review.
02
Human-First GRC Baseline
"Who is accountable?"
A practical, implementation-first GRC framework for AI-enabled platforms — capability gating, policy enforcement points (PEPs), layered assurance, distribution limits, and response SLAs. Designed to be implemented, not just published.
03
NIST AI RMF Alignment
"Does this meet the standard?"
Deployment patterns aligned to the NIST AI Risk Management Framework — Govern, Map, Measure, Manage — adapted to your sector’s examination expectations and translated into architectural decisions you can actually defend.
The Accountability Gap in AI-Generated Documents
As AI tools become standard in government and enterprise planning, every output is now followed by the same question: how do we prove this wasn't tampered with?
Federal contracting officers must defend AI-assisted IGCEs, RFP language, and technical evaluation criteria to inspectors general and FPDS audits.
Hospital CFOs must defend AI-assisted capital and procurement decisions to boards, regulators, and accrediting bodies (e.g., The Joint Commission).
State CIOs must defend modernization recommendations to legislative oversight and state auditors.
Bank CROs must defend AI-influenced risk and architectural decisions to OCC, FDIC, NYDFS, and internal audit.
Commercial boards must defend AI-driven strategic decisions to shareholders, insurers, and regulators.
Decision Provenance gives each of them the same answer: yes — and here is the cryptographically sealed evidence of how.
Research & Frameworks
Foundational research underpinning our AI governance practice.
Make Your AI Deployment Defensible.
30-minute briefing on Decision Provenance, the Human-First AI GRC baseline, and how to align an existing or planned AI deployment to NIST AI RMF and your sector's examination expectations.