AI Risk Management

    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)
    • 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.

    GovernMapMeasureManage

    EU AI Act Readiness

    Risk-based classification, conformity assessment, technical documentation, and post-market monitoring — built before enforcement deadlines.

    Risk ClassificationConformityTech DocsMonitoring

    ISO 42001 Alignment

    Build and maintain AI management systems that meet certification requirements and demonstrate governance maturity.

    Mgmt SystemPolicy FrameworkRisk ProcessImprovement

    Implementation Lifecycle

    From Framework to Operations

    01

    Framework Selection

    Map regulatory obligations and select frameworks based on jurisdiction, industry, and AI use cases.

    02

    Gap Assessment

    Evaluate current controls against framework requirements. Identify gaps, prioritize remediation.

    03

    Control Design

    Design policies, procedures, and technical controls that operationalize requirements.

    04

    Implementation

    Deploy controls into operations. Train teams, configure monitoring, establish approval workflows.

    05

    Continuous Assurance

    Ongoing monitoring, audit prep, maturity scoring, and updates as regulations evolve.

    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.

    Explore IT Risk Management

    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 Call