Measure and Elevate Your organisation's AI Responsibility Maturity
The most comprehensive assessment framework for responsible AI governance. Evaluate your organisation across 8 critical dimensions with 135 expert-crafted questions aligned with EU AI Act, NIST AI RMF, and ISO 42001 standards.
Critical AI Responsibility Gaps Threaten Your organisation
organisations face mounting pressure from regulators, stakeholders, and the public to demonstrate responsible AI practices. Without systematic assessment, critical gaps remain hidden until they become costly crises.
Algorithmic Bias & Discrimination
AI systems can perpetuate and amplify historical biases, leading to discriminatory outcomes that harm individuals, damage brand reputation, and expose organisations to significant legal liability under emerging AI regulations.
73% of AI systems show measurable biasOpacity & Lack of Explainability
"Black box" AI decisions erode trust with customers, employees, regulators, and stakeholders who increasingly demand transparency and understanding of how AI-driven decisions affect their lives.
85% of stakeholders demand AI explanationsRegulatory Non-Compliance
The EU AI Act, NIST AI RMF, ISO 42001, and emerging global regulations require demonstrable AI responsibility practices with comprehensive documentation and audit trails.
€35M+ potential regulatory fines under EU AI ActSafety & Reliability Risks
AI system failures can cause significant harm to individuals and organisations. Without robust safety testing and reliability monitoring, organisations face unpredictable operational and reputational risks.
67% of AI projects fail due to unforeseen issuesSocial & Environmental Impact
AI systems have far-reaching social and environmental consequences. organisations must assess and mitigate impacts on vulnerable groups, communities, and the environment to maintain stakeholder trust.
$2.8B lost annually to AI-related social issuesVendor & Supply Chain Risks
AI vendors and third-party models introduce hidden risks into your organisation. Without systematic vendor governance, you inherit their biases, security vulnerabilities, and compliance gaps.
89% of organisations use third-party AIARI+ Comprehensive Responsibility Assessment
The Universal AI Responsibility Index Plus (ARI+) provides a structured, evidence-based methodology to evaluate, benchmark, and continuously improve your organisation's AI responsibility practices across all critical domains.
Comprehensive 135-Question Assessment
Expert-crafted questions across 8 dimensions evaluate your AI responsibility maturity with specific, actionable insights. Each question includes evidence requirements and assessor guidance for objective evaluation.
5-Level Maturity Benchmarking
Clear progression from Initial/Ad-hoc to optimising provides measurable benchmarks. Understand exactly where you stand and what steps are needed to advance to the next level of AI responsibility.
Regulatory Alignment
Framework aligned with EU AI Act, NIST AI RMF, ISO 42001, and emerging global standards. Generate compliance-ready documentation and demonstrate due diligence to regulators.
Actionable Recommendations
Receive detailed, prioritised recommendations for improving AI responsibility practices. CQ-style 5-tier feedback provides specific guidance for every answer with clear next steps.
8-Factor Strategic Analysis
Executive-ready factor scores provide strategic insights across Governance, Values, Human-Centricity, Safety, Transparency, Impact, Sustainability, and Ecosystem dimensions.
Continuous Improvement Framework
Track progress over time with repeatable assessments. Identify trends, measure improvement, and demonstrate advancement to stakeholders and regulators.
Comprehensive Evaluation Across All AI Responsibility Domains
ARI+ assesses your organisation across 8 critical dimensions, each containing 15-17 questions covering subdimensions essential for responsible AI governance.
Ethical Leadership & Governance
Board-level oversight, executive accountability, governance structures, and strategic oversight for responsible AI implementation.
17 questions • 9 subdimensionsPurpose-Driven Value-Aligned Innovation
AI initiative alignment with organisational purpose, mission, core values, and stakeholder value creation.
17 questions • 9 subdimensionsHuman-Centricity & Agency
Human autonomy, agency, dignity, and meaningful human control in AI-assisted decisions and interactions.
17 questions • 9 subdimensionsSafety, Robustness & Reliability
AI system safety, robustness testing, reliability monitoring, and operational resilience throughout the lifecycle.
17 questions • 9 subdimensionsTransparency & Explainability
AI decision transparency, explainability mechanisms, auditability, and stakeholder communication.
17 questions • 9 subdimensionsSocial Impact & Global Equity
Social impact assessment, equitable treatment, bias mitigation, and positive societal outcomes.
17 questions • 9 subdimensionsEnvironmental Sustainability
Environmental impact management, energy efficiency, carbon footprint, and sustainable AI practices.
17 questions • 9 subdimensionsVendor & Ecosystem Management
Vendor governance, supply chain responsibility, partner management, and ecosystem collaboration.
17 questions • 9 subdimensions5-Level AI Responsibility Maturity Model
Clear progression path from reactive, crisis-driven practices to industry-leading responsible AI governance. Know exactly where you stand and what it takes to advance.
Proven Return on AI Responsibility Investment
organisations implementing comprehensive AI responsibility frameworks see measurable improvements in risk mitigation, stakeholder trust, regulatory compliance, and competitive positioning.
- ✓Reduce regulatory and legal risk exposure by demonstrating due diligence
- ✓Build stakeholder trust through transparent AI governance practices
- ✓Identify and mitigate bias before it causes reputational damage
- ✓Create competitive advantage through industry-leading practices
- ✓Accelerate AI adoption with confidence in responsible implementation
Aligned with Global AI Regulations & Standards
ARI+ framework is designed to support compliance with major AI governance regulations and standards worldwide.
Ready to Assess Your AI Responsibility Maturity?
Get a comprehensive evaluation of your organisation's AI responsibility practices with actionable recommendations for improvement. Join 500+ organisations using ARI+ to build trusted, responsible AI systems.