The only firm and platform exclusively built for the NIST AI Risk Management Framework — AI inventory, risk assessment, policy management, and continuous monitoring under one roof.
Expert consulting + purpose-built GRC platform — one complete program.
The Problem
Organizations are deploying LLMs, autonomous agents, and AI-driven decisions before governance frameworks are in place — creating liability exposure that hasn't been mapped.
Model drift, training data bias, explainability gaps, and third-party model risk don't fit in a SOC 2 control library. AI risk needs a framework designed for how AI actually fails.
The EU AI Act is in force. NIST AI 100-1 is published. State-level AI legislation is accelerating. Early movers are already building programs — and the window is narrowing.
The Framework
The NIST AI RMF is the gold standard for trustworthy AI. Every consulting engagement and every platform feature maps directly to its four core functions.
Establish AI risk policies, accountability structures, and governance processes across the organization.
Identify and categorize AI systems, their intended use, potential impacts, and affected stakeholders.
Analyze, assess, and track AI risks using metrics, testing, and continuous evaluation methods.
Prioritize and respond to identified AI risks through treatment plans, controls, and ongoing monitoring.
The Platform
Every other GRC tool maps AI governance on top of compliance frameworks designed for IT infrastructure. This one is built from the ground up for the NIST AI RMF — so every control, every risk register, and every evidence artifact is AI-native.
Track every AI system — first-party models, third-party APIs, embedded AI — classified by risk level and ownership.
How It Works
Step 01
Assess
A 30-minute discovery call kicks things off, followed by a structured AI inventory and gap analysis against NIST AI RMF. The result is a clear picture of where the program stands and what needs to be addressed.
Step 02
Implement
We build the policy framework, control library, and onboard the team to the platform. Every control maps directly to the NIST AI RMF so documentation is audit-ready from day one.
Step 03
Monitor
AI risk is not static — models drift, regulations evolve, and new systems get deployed. The platform continuously monitors risk posture and surfaces what needs attention.
Services
Expert guidance, purpose-built software, or both — meeting organizations where they are.
Expert-led engagements that go from zero to a functioning AI governance program. Working alongside security and legal teams to build policy, assess risk, and stand up the platform — without adding headcount.
A purpose-built SaaS platform for managing AI governance programs. Inventory AI systems, map controls to the NIST AI RMF, collect evidence, and maintain audit-ready posture — continuously.
“It called out and highlighted things in my environment that I was unaware I needed to be mindful of. It provided me with an easy-to-follow roadmap that I am currently implementing in my own environment.”
Chase Sutphin
Founder, AI Governance Solutions · Early Access User
Blog
Roadmap
Shipping fast. Here's what's live and what's in progress.
Experience
Enterprise Security
Security Engineering · AI Governance
About
AI Governance Solutions was founded by Chase Sutphin, an enterprise security engineer with deep experience in AI security, threat analysis, and risk management — built because no existing tool addressed AI risk the way security practitioners actually think about it.
The platform and consulting methodology were shaped by real-world assessment work — finding gaps in AI deployments that no general GRC tool would surface, and building the playbook to close them against the NIST AI RMF.
Start with a free 30-minute discovery call. No slides, no hard sell — just an honest assessment of where you stand and what it takes to get there.