AI Governance Excellence

AI Governance & Compliance

Consulting, Audit & Derisking Services for AI Systems

EU AI ActNYC Bias Law 144NIST AI RMFISO/IEC 42001Colorado SB21-169
AI Adoption Surge
Organizations accelerating AI deployment without proper governance frameworks
Average Cost
Average cost of AI-related regulatory violations and compliance failures
Compliance Deadline
EU AI Act and other major regulations coming into full effect
Risk Exposure
Organizations lack comprehensive AI risk management strategies

Why AI Governance is Critical Now

The AI revolution demands responsible deployment and compliance with emerging regulations

01

Rapid AI Adoption

Rapid adoption of AI has outpaced regulatory and risk management frameworks.

02

Legal & Ethical Risks

Corporations face legal, ethical, and reputational risks from biased, opaque, or non-compliant AI systems.

03

Regulatory Requirements

New global and regional regulations demand structured audits, documentation, and explainability.

04

Compliance Obligations

Regulatory demands from EU AI Act, NYC Bias 144, ISO 42001 require immediate action.

Full-Lifecycle AI Compliance & Risk Mitigation

Comprehensive services to ensure your AI systems meet regulatory requirements and ethical standards

AI Risk Assessments

Comprehensive risk mapping aligned to regulatory obligations and identification of high-risk AI use cases.

  • Regulatory Risk Mapping
  • High-Risk AI Classification
  • Impact Assessment
  • Targeted Risk Mitigation

Bias Audits & Fairness Analysis

Comprehensive bias detection and fairness analysis for HR, Finance, and Insurance AI systems.

  • Algorithmic Bias Detection
  • Fairness Metrics Analysis
  • Demographic Parity Testing
  • Disparate Impact Assessment

Technical Documentation

Full technical documentation to ensure compliance with regulatory standards and frameworks.

  • Compliance Documentation
  • System Architecture Records
  • Model Performance Reports
  • Audit Trail Maintenance

Model Explainability & Interpretability

SHAP-based interpretability audits and model explainability solutions for transparent AI.

  • SHAP Analysis
  • Model Interpretability
  • Decision Tree Visualization
  • Feature Importance Analysis

Data Governance & Traceability

Comprehensive data governance and traceability for training pipelines and data lineage.

  • Data Lineage Tracking
  • Training Pipeline Governance
  • Data Quality Assurance
  • Provenance Documentation

Monitoring & Reporting Dashboards

Ongoing monitoring and reporting dashboards for post-deployment AI system oversight.

  • Real-time Monitoring
  • Performance Dashboards
  • Drift Detection
  • Compliance Reporting

AI Management Systems (AIMS)

Create and deploy comprehensive AI Management Systems for organizational AI governance.

  • AIMS Design & Implementation
  • ISO/IEC 42001 Alignment
  • Governance Framework Integration
  • Certification Support

Certification Support

Comprehensive support for AI-related certifications and compliance readiness assessments.

  • ISO/IEC 42001 Certification
  • EU AI Act Conformity Assessment
  • NIST RMF Alignment Verification
  • Regulatory Compliance Documentation

Supported AI Governance Frameworks

Comprehensive coverage of global AI regulations and standards

EU AI Act

High-risk classification, conformity assessment, technical documentation

NYC Local Law 144

Bias audit for automated employment decision tools

NIST AI RMF

Mapping, Measuring, Managing AI Risk

ISO/IEC 42001

AI Management System (AIMS) design and certification readiness

Colorado SB21-169

Fair lending and insurance model transparency

Who We Serve

Trusted by leading organizations across industries

Enterprise AI Deployers

Enterprises deploying high-risk AI under EU AI Act

AI Product Developers

AI product developers seeking ISO/IEC 42001 certification

Federal Contractors

U.S. Federal contractors under NIST AI RMF

Financial Institutions

Banks, Insurers, and Financial Entities subject to Colorado SB21-169

HR & Recruitment

Employers using automated hiring tools (NYC Local Law 144)

Our 5-Phase Lifecycle Approach

Comprehensive methodology for AI governance and compliance

Assessment

Risk mapping, data lineage, and bias detection

Audit

Legal documentation, system behavior logs, bias audit reports, create and deploy AIMS

Risk Mitigation

Model explainability tools, debiasing interventions, guardrails

Compliance Readiness

Align to EU/NIST/ISO compliance workflows

Monitoring

Post-deployment drift, bias, and performance tracking

NIST AI Risk Management Framework

For Federal Contractors

Comprehensive NIST AI RMF compliance services for government contractors and regulated industries

The AI Risk Landscape

  • Growing federal mandates around trustworthy AI
  • AI-related risks: bias, security, privacy, explainability
  • Consequences: contract loss, reputational damage, regulatory scrutiny

NIST AI RMF Overview

  • Voluntary yet foundational framework
  • Four core functions: Map, Measure, Manage, Govern
  • Growing role in federal procurement and oversight
  • Aligns with federal cybersecurity & privacy standards

Why Alignment Matters

  • Increasing expectation for RMF-aligned documentation in RFPs
  • Demonstrates commitment to responsible, trustworthy AI
  • Mitigates risks and prepares for audits
  • Positions contractors competitively for bids

Our NIST AI RMF Consulting Services

RMF Readiness Assessment & Gap Analysis

Comprehensive evaluation of current AI risk management practices against NIST framework requirements

AI Risk Mapping & Impact Assessment

Systematic identification and assessment of AI-related risks across your organization

Bias, Explainability & Privacy Audits

Thorough audits ensuring AI systems meet fairness, transparency, and privacy standards

AI Governance Framework Setup

Establishment of comprehensive AI governance structures and processes

RFP & Contract Compliance Documentation

Preparation of documentation for federal procurement and contract compliance

Training & Enablement Programs

Comprehensive training programs to build internal AI risk management capabilities