Find, Control & Govern AI Before It Becomes a Liability.
From shadow AI discovery and vendor review to M&A due diligence and continuous monitoring, we help organizations build practical, auditable AI governance — backed by AIGIP certification training for the people who run it.
Why Now
AI Adoption Has Outpaced AI Governance
Most organizations cannot answer basic questions about their AI exposure: where it lives, what data it sees, who approved it, and how it's monitored. Regulators, boards, and acquirers increasingly demand answers — and the gap is now a material business risk.
Shadow AI
Unsanctioned tools touch sensitive data daily.
Regulation
EU AI Act, NIST AI RMF, ISO 42001 raising the bar.
M&A Risk
Unmanaged AI shows up as deal-value leakage.
Board Demand
Directors expect defensible AI oversight reporting.
Service Pillars
Structured AI Risk & Governance Programs
Four service areas. Each addresses a specific operational need, produces documented artifacts, and creates measurable risk reduction.
AI Risk & Governance Assessments
The Problem
Employees are already using ChatGPT, Copilot, Gemini, embedded SaaS AI, meeting bots, and coding assistants — often with sensitive data and without approval, review, or risk classification.
Business Impact
Gives leadership a clear, defensible picture of current AI exposure — the foundation for every governance decision that follows.
What We Deliver
- AI System Inventory & Use Case Register
- Shadow AI Discovery Report
- AI Risk Register with Impact Scoring
- Data Flow & Sensitive Data Mapping
- Vendor and Third-Party AI Review
- Regulatory Gap Analysis (NIST AI RMF, EU AI Act)
- Priority Remediation Roadmap
- Executive Summary for Leadership & Board
AI Governance Design & Implementation
The Problem
A policy alone doesn't answer who approves AI tools, who reviews vendors, what data is allowed, what evidence is retained, or how exceptions are handled. Governance has to work inside real operations.
Business Impact
Delivers controlled enablement — letting the organization use AI while reducing legal, data, vendor, security, and operational risk.
What We Deliver
- AI Governance Framework
- AI Acceptable Use Policy
- AI Risk Management Policy
- AI Vendor Review Standards
- Use Case Intake & Approval Workflow
- RACI Matrix & AI System Classification
- Exception, Escalation & Evidence Library
- Leadership Reporting Structure
AI Risk for Transactions (M&A / PE / VC)
The Problem
Targets and portfolio companies claim AI value, but unclear data rights, undocumented vendors, weak model governance, and unreviewed AI code can inflate valuations and create post-close liability.
Business Impact
Protects deal value by identifying AI-driven legal, operational, and financial surprises before they become liabilities.
What We Deliver
- AI Due Diligence Report
- AI Use Case & Product Review
- AI Vendor & Dependency Review
- Data Rights & Model Training Risk Review
- Valuation Impact Assessment
- Portfolio AI Risk Dashboard
- Post-Acquisition Governance Roadmap
- Investment Committee / Board Risk Summary
AI Operations, Monitoring & Training
The Problem
Governance fails when treated as a one-time project. New tools appear, vendors change features, models drift, and the organization slowly returns to unmanaged AI use.
Business Impact
Keeps AI governance operational — continuous oversight, measurable metrics, and trained teams instead of one-time documentation.
What We Deliver
- AI Governance Dashboard
- AI Use Case & Vendor Change Monitoring
- Model Drift & Performance Monitoring
- AI Incident Response Procedures
- Quarterly Governance Reviews & KPI Reporting
- AIGIP Training Integration (AIGL · AIRM · AIPR · AIGOV · AIIL · AIEL)
- Policy Refresh & Regulatory Update Support
Framework Expertise
Frameworks Are Not Enough. Execution Matters.
We turn NIST AI RMF, EU AI Act, and ISO 42001 requirements into working governance programs with measurable controls.
NIST AI Risk Management Framework
We operationalize NIST AI RMF's four functions — Govern, Map, Measure, Manage — into executable programs with documented controls.
EU AI Act Readiness
Risk-based classification, conformity assessment, technical documentation, and post-market monitoring — built before enforcement deadlines.
ISO 42001 Alignment
Build and maintain AI management systems that meet certification requirements and demonstrate governance maturity.
Implementation Lifecycle
From Framework to Operations
Framework Selection
Map regulatory obligations and select frameworks based on jurisdiction, industry, and AI use cases.
Gap Assessment
Evaluate current controls against framework requirements. Identify gaps, prioritize remediation.
Control Design
Design policies, procedures, and technical controls that operationalize requirements.
Implementation
Deploy controls into operations. Train teams, configure monitoring, establish approval workflows.
Continuous Assurance
Ongoing monitoring, audit prep, maturity scoring, and updates as regulations evolve.
Company Certification Program
Build the AI Operating Capability. Then Prove It.
Adoption, governance and security are built as one capability — not three separate projects. AI Risk Partners assesses where you stand, implements the operating model with your team, and assembles the evidence package. AIGIP owns the Organization Assurance Standard, reviews that evidence and issues the certification. The certification is the proof at the end of the work, not the reason to start it.
Foundational baseline
AI-Ready Organization
Establish an evidence-based baseline: who is accountable, where AI is already in use, and what has to happen next.
See what it requires
Primary certification
AIGIP Verified AI-Governed Organization
Design, implement and evidence a functioning AI governance operating model for a named scope.
See what it requires
Advanced certification
AIGIP Assured AI-Native Organization
Embed responsible AI in the operating model and evidence governed AI running in production.
See what it requiresClient
Your organization
Provides context, access, business ownership, stakeholders and the evidence behind the program.
Delivery partner
AI Risk Partners
Assesses the current environment, builds governance, controls and adoption mechanisms with your team, and assembles the evidence package.
Standard owner
AIGIP
Owns the Organization Assurance Standard, reviews the submitted evidence and determines the certification issued.
Starting Path
AI Readiness Bootcamp
A focused working engagement — not a training course — that establishes executive alignment, the picture of current AI use and AI-enabled vendors, security and data exposure, governance ownership, approved tool strategy, workforce readiness and a prioritized roadmap. No preparation required before we start; most organizations begin with gaps.
Who We Serve
Built for Decision Makers
Boards & Executives
Risk visibility, defensible oversight, and reporting that translates AI risk into business language.
Legal, Compliance & Risk
Regulatory mapping, policy frameworks, and audit-ready documentation across NIST, EU AI Act, ISO 42001.
Investors & Acquirers
AI due diligence and portfolio governance for M&A, PE, and VC decisions.
Technology & Security Leaders
Control design, monitoring architecture, and operational integration with existing security programs.
Related
Pair AI Governance With IT Risk Management
AI governance is most effective when integrated with your broader cybersecurity and compliance program. Explore our turnkey IT Risk Management offerings.
Not sure where to start?
Most organizations should begin with an AI Risk & Governance Assessment. That first step identifies where AI is being used, what data it touches, which risks matter most, and what governance structure is needed.
Schedule an AI Risk Strategy CallAI risk & governance FAQ
What the AI Company Certification Program covers, and how AI governance work starts.
What is the AI Company Certification Program?
It is an organization-level AI certification delivered by AI Risk Partners and issued by AIGIP under the Organization Assurance Standard. Instead of certifying individuals, it certifies that a company's AI use is governed, evidenced and accountable at three levels: AI-Ready Organization, AIGIP Verified AI-Governed Organization, and AIGIP Assured AI-Native Organization.
What is the difference between AI-Ready, Verified and Assured?
AI-Ready is the evidence-based baseline: who is accountable, where AI is already in use, and what has to happen next. AIGIP Verified AI-Governed means a functioning AI governance operating model — policies, controls and oversight — is designed, implemented and evidenced for a named scope. AIGIP Assured AI-Native means responsible AI is embedded in the operating model, with governed AI systems evidenced running in production.
Who needs an AI governance program?
Any organization where employees, vendors or products already use AI to touch company or customer data. In most companies AI adoption happened bottom-up, so the first job is discovery — finding where AI is in use — before deciding what needs policy, controls and oversight.
How do AIGIP credentials fit with company certification?
AIGIP credentials certify people; the Company Certification Program certifies the organization. Trained, credentialed staff are what make a governance program sustainable, so most organizations credential the people who will own AI governance while the company-level program is built.
Where does an AI risk engagement start?
With an AI risk assessment: identifying where AI is being used, what data it touches, which risks matter most, and what governance structure is required. That assessment drives the policy work and the governance program that follows.
Can federal agencies buy AI governance services from Huttan Risk?
Yes. AI risk and governance services and AIGIP credential training are available through GSA MAS contract 47QTCA23D00CX under SIN 54151AI.