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AI Governance Advisors
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Receive customized AI Risk, Maturity, and Enablement indices and then leverage a roadmap aligned to NIST AI RMF and ISO/IEC 42001 to drive your AI program to success and maturity.
Strategy. Governance. Results.
AI Enablement Edge: Your Complete Index Suite
Our flagship AI Enablement Edge program delivers three critical indices through a unified online assessment that takes just minutes to complete. Each index provides actionable intelligence to guide your AI governance strategy.
The AI Risk Index (ARI) quantifies your exposure across regulatory, operational, and reputational risk domains. The AI Maturity Index (AMI) measures how well your organization has embedded governance, oversight, and lifecycle management practices. The AI Enablement Index (AEMI) reveals your capacity to deploy AI safely and at scale.
Together, these indices give leadership a complete picture of where you stand today and exactly what to do next. Every score maps directly to NIST AI RMF and ISO/IEC 42001 requirements, ensuring your roadmap is standards-aligned from day one.
1
AI Risk Index (ARI)
Quantifies exposure across regulatory compliance, operational vulnerabilities, and reputational threats. Lower scores indicate higher risk requiring immediate attention.
2
AI Maturity Index (AMI)
Measures governance sophistication, oversight mechanisms, and lifecycle management practices. Higher scores reflect stronger organizational readiness.
3
AI Enablement Index (AEMI)
Assesses your capacity to deploy AI initiatives safely and efficiently. Reveals infrastructure, talent, and process gaps limiting scale.
What You Get With Your AI Enablement Edge
When you complete your AI Enablement Edge assessment, you receive a comprehensive intelligence package designed for immediate action. Each component serves a specific stakeholder need—from operational leaders implementing changes to board members evaluating program effectiveness.
Index Scorecards
Detailed breakdowns of your ARI, AMI, and AEMI scores with domain-level insights. See exactly where you excel and where gaps exist across risk, maturity, and enablement dimensions.
Actionable Roadmap
Prioritized initiatives mapped to expected index improvements. Each recommendation includes effort estimates, resource requirements, and projected score lift across all three indices.
Board-Ready Summary
Executive briefing with framework mapping to NIST AI RMF and ISO/IEC 42001. Clearly communicates current state, target state, and strategic investments needed to close gaps.
Audit Evidence Pack
Documentation bundle establishing baseline metrics and control maturity. Provides auditors and assessors with standardized evidence supporting certification and compliance efforts.
The AI Enablement Edge Journey
Our proven methodology moves you from insight to impact through four interconnected phases. Each stage builds on the last, creating sustainable governance capabilities while continuously improving your index scores.
Assess
Establish baseline indices across risk, maturity, and enablement. Complete stakeholder interviews, policy reviews, and technical assessments to generate your starting scores.
Align
Build your custom roadmap with prioritized initiatives tied to index improvements. Map every recommendation to NIST AI RMF and ISO/IEC 42001 requirements ensuring standards alignment.
Activate
Implement controls, enhance data governance, and drive organizational change. Deploy policies, tools, and training while tracking real-time progress toward target index levels.
Assure
Monitor ongoing performance, maintain audit readiness, and demonstrate continuous improvement. Regular index updates validate effectiveness and guide refinement efforts.
This journey isn't linear—it's iterative. As you activate new controls and governance practices, you'll reassess indices to measure impact, then align on the next wave of improvements. The cycle ensures your AI governance program matures continuously rather than stalling after initial implementation.
Advisory Tiers: Ongoing Support at Every Scale
Tier 1
Monitoring
Monthly index tracking and rapid response
Perfect for organizations with established governance seeking continuous oversight. Track monthly ARI, AMI, and AEMI deltas to spot emerging risks and maturity shifts early.
  • Monthly index reports with trend analysis
  • Regulatory rules radar alerts
  • Rapid remediation guidance
  • Quarterly review sessions
Tier 2
Enhanced Advisory
Programmatic roadmaps with measured gains
For organizations building or scaling AI governance programs. Combines monitoring with hands-on advisory support to drive measurable index improvements.
  • Everything in Tier 1
  • Quarterly roadmap updates
  • Vendor oversight support
  • Bi-weekly office hours
  • Control implementation guidance
Tier 3
Strategic Leadership
Fractional CAIO with executive-level impact
Complete governance leadership for organizations requiring executive-level AI strategy. Your fractional Chief AI Officer driving board-level reporting and OKRs.
  • Everything in Tier 2
  • Fractional CAIO services
  • Board reporting packages
  • OKRs tied to index movement
  • Strategic program leadership
All tiers include access to our client portal with real-time index dashboards, resource libraries, and direct advisor communication. Choose the tier matching your current needs, then scale up as your program matures. Most clients start with Tier 1 or 2 during initial implementation, then move to Tier 3 as AI becomes central to business strategy.
Implementation: Using AEMI As The Foundation
Strong AI governance directly improves your AI Maturity Index and AI Enablement Index. Without proper data policies, classification, and lifecycle management, AI initiatives face compliance risk, quality issues, and operational inefficiency.
01
Policy Framework Development
Establish comprehensive data governance policies aligned with AI use cases. Define ownership, accountability, and decision rights across data domains.
02
Data Classification
Implement systematic classification schemes based on sensitivity, regulatory requirements, and business value. Enable appropriate controls and access management.
03
Retention and Disposition
Design retention schedules and disposition processes meeting compliance obligations. Reduce risk while optimizing storage costs and data utility.
04
Tooling and Automation
Deploy technology supporting policy enforcement, monitoring, and reporting. Integrate with existing data platforms and AI development workflows.
Our data governance implementation follows the same Assess → Align → Activate → Assure journey used across all services. We begin by assessing current data management maturity and its impact on your AMI and AEMI scores.
Next, we align on a governance operating model and roadmap showing expected index improvements as capabilities mature. During activation, we implement policies, classifications, and tools while training stakeholders on new processes.
Finally, we help you assure ongoing effectiveness through monitoring dashboards, periodic audits, and continuous improvement cycles. Most implementations show measurable AMI gains within 90 days and AEMI improvements within six months as data quality and availability increase.
Strong data governance isn't just a compliance checkbox—it's the infrastructure enabling safe, effective AI deployment at scale.
Workshops and Training: Build Internal Capability
Sustainable AI governance requires skilled teams across your organization. Our workshops combine conceptual learning with practical application, delivering templates, playbooks, and routines your teams can use immediately.
AI Governance Foundations
Half-day workshop covering governance fundamentals, risk management, and organizational design. Participants leave with a governance charter template and role definitions customized for your context.
Regulatory Essentials
Deep dive into NIST AI RMF, ISO/IEC 42001, and emerging regulations. Map requirements to your index scores and identify specific controls needed for compliance and certification.
AI Ethics in Practice
Interactive session on operationalizing ethical principles in AI development. Build decision frameworks, review real-world case studies, and establish ethics review routines aligned with your AMI goals.
Workshop Format
All workshops follow a consistent structure: foundational concepts in the morning, hands-on application after lunch, and synthesis with action planning before close. We typically run sessions for 15-25 participants with mixed roles—technical, legal, compliance, and business stakeholders.
Workshops can be delivered onsite, virtually, or hybrid depending on your team's needs. Most organizations start with Governance Foundations, then add Regulatory Essentials and Ethics training as programs mature.
Custom Learning Paths
Need something more tailored? We design custom learning paths aligned to your specific index improvement goals. Whether training a new AI governance team, upskilling existing risk staff, or educating executives on AI oversight, we build curricula matching your context.
Custom programs include pre-workshop assessments, personalized content, ongoing coaching, and post-training reinforcement to ensure knowledge sticks and translates into improved AMI and AEMI performance.
Proof and Standards Mapping
Every index score, recommendation, and control in the AI Enablement Edge program maps directly to established frameworks. This isn't theory—it's how we ensure your governance investment satisfies auditors, regulators, and certification bodies.
NIST AI Risk Management Framework
The ARI, AMI, and AEMI indices align with NIST AI RMF's four core functions: Govern, Map, Measure, and Manage. Your index scorecards explicitly show which framework subcategories you've addressed and which require attention.
  • Govern: Reflected in AMI governance maturity scoring
  • Map: Captured in ARI context and impact assessments
  • Measure: Built into AEMI testing and monitoring practices
  • Manage: Tracked via ARI mitigation and response capabilities
Your roadmap prioritizes initiatives closing NIST gaps first, ensuring you meet federal procurement requirements and industry expectations for responsible AI development.
ISO/IEC 42001 AI Management System
The international standard for AI management systems directly influences AMI scoring. We map your maturity across ISO 42001's requirements including organizational context, leadership, planning, operation, and performance evaluation.
  • Clause 4-6: Organizational foundations reflected in AMI
  • Clause 7: Support resources captured in AEMI infrastructure
  • Clause 8: Operational controls driving ARI reduction
  • Clause 9-10: Monitoring and improvement tracked via index deltas
Organizations pursuing ISO 42001 certification use our assessment as a pre-certification gap analysis, then leverage audit services to validate readiness before engaging certification bodies.

Standards Transparency: We maintain detailed mapping documentation showing exactly how each index component aligns with NIST AI RMF and ISO/IEC 42001 requirements. This documentation is included in your reporting package and it is updated as frameworks evolve.
Ready to Transform Your AI Governance?
Get your AI Risk, Maturity, and Enablement indices today. See exactly where you stand, what to fix first, and how to build board-level confidence in your AI program.
Thousands of risk and compliance leaders have used the AI Enablement Edge to establish baseline governance, secure leadership support, and drive measurable improvements aligned to NIST AI RMF and ISO/IEC 42001.
Your journey starts with assessment. Complete the online evaluation in minutes, then review your comprehensive intelligence package including scorecards, roadmap, board summary, and audit evidence pack. From there, choose the advisory tier and services matching your goals.
3
Critical Indices
Risk, Maturity, and Enablement scores in one unified assessment
4
Phase Journey
Assess, Align, Activate, and Assure methodology for sustainable results
100%
Standards Aligned
Full mapping to NIST AI RMF and ISO/IEC 42001 requirements
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