12 Assessment Tools
Board-ready, auditor-friendly, CFO-approved frameworks for measuring AI maturity, risk, and financial impact. All tools align with industry standards and produce exportable reports.
AI Execution Maturity Assessment
Comprehensive maturity scoring across 8 domains with CMMI-style levels (1-5). Produces overall maturity level, domain scores, gap analysis, and prioritized roadmap.
- Maturity level (1-5)
- Domain heatmap
- Top 10 gaps
AI Governance Gap Analyzer
Maps required governance controls vs. current posture. Produces control matrix, evidence checklist, and policy template recommendations.
- Governance gap register
- Control coverage %
- Policy templates
Enterprise Prompt Debt Calculator
Quantifies iteration waste, editing leakage, and search friction costs. Produces monthly/annual debt estimates and ROI projections for governance.
- Monthly prompt debt $
- CFO waterfall
- ROI scenarios
AI Waste & Redundancy Detector
Identifies duplicated work and overlapping licenses across teams. Uses similarity clustering to quantify operational waste.
- Duplication clusters
- Waste $ estimate
- Consolidation plan
Employee AI Friction & Time Usage Assessment
Measures time lost to rework, verification, and search friction. Produces friction index and time-to-final metrics by role/team.
- Friction index
- Time-to-final variance
- Role/team heatmap
Shadow AI Risk Model
Quantifies unsanctioned usage and data leakage likelihood. Produces shadow rate estimate and risk-prioritized mitigation plan.
- Shadow AI rate %
- Top risky workflows
- Data exposure score
AI Risk Exposure Index
Unified risk scoring with NIST AI RMF alignment. Produces risk matrix, materiality ranking, and integrated mitigation plan.
- Risk matrix
- Top 5 material risks
- Control effectiveness
SaaS & AI License Utilization Optimizer
Cuts redundant licenses and overlapping tooling. Analyzes seat usage and identifies consolidation opportunities.
- Reclaimable spend $
- Unused seats
- Consolidation plan
Prompt Lifecycle Governance Maturity
Assesses lifecycle rigor: create → review → deploy → observe → optimize → compound. Produces lifecycle maturity map.
- Lifecycle maturity
- Missing artifacts
- Process gaps
AI Telemetry Readiness Audit
Assesses ability to measure and monitor AI execution. Produces telemetry schema, integration backlog, and MVI checklist.
- MVI checklist
- Event schema
- Integration backlog
Execution Intelligence Opportunity Model
Identifies highest-ROI standardization opportunities. Ranks by frequency × friction × risk × business criticality.
- Ranked opportunity backlog
- ROI bands
- Quick wins
Institutional Intelligence Compounding Score
Quantifies how AI work becomes reusable organizational assets. Measures reuse rate, knowledge retention, and AI asset equity.
- Compounding score
- Institutionalization rate
- AI asset equity
Framework Alignment
All assessments are mapped to recognized standards and regulatory expectations:
Core Frameworks
- NIST AI RMF: Risk management framework (Govern, Map, Measure, Manage)
- ISO/IEC 42001: AI management systems standard
- ISO/IEC 27001: Information security management
- SOC 2: Trust Services Criteria for audit evidence
Regulatory Alignment
- EU AI Act: Risk-based regulation framework
- GDPR/CCPA: Data privacy and protection
- HIPAA: Healthcare data security
- FINRA/EEOC: Financial services and employment regulations
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