AI Governance Framework

AIGRAIL is a unified framework for AI governance designed to guide organizations through responsible deployment and management of AI systems.

Comprehensive AI Governance

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Risk Management

Structured risk assessment and mitigation strategies aligned with international standards like ISO/IEC 42001 and NIST AI RMF.

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Regulatory Compliance

Meet compliance obligations under EU AI Act, ISO 42001, and other emerging AI regulations with confidence.

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Transparency & Accountability

Foster stakeholder trust through transparent AI operations and clear accountability frameworks.

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Human-Centric Design

Ensure AI systems respect human rights, values, and promote equitable treatment across all use cases.

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Security & Safety

Build robust AI systems that are secure against manipulation and ensure operational safety.

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Continuous Monitoring

Real-time metrics, dashboards, and scheduled audits to maintain ongoing compliance and performance.

EU AI Act Compliance Platform

Get immediate compliance assessment for your AI systems with our specialized EU AI Act platform - your first step into the AIGRAIL ecosystem.

Risk Assessment

20+ question compliance questionnaire with weighted scoring

Professional Reports

Detailed compliance reports with gap analysis and recommendations

Document Generation

AI-powered transparency notices, model cards, and risk assessments

Evidence Management

Upload and track compliance documentation with audit trails

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AIGRAIL Implementation Phases

Phase A: AI Vision & Strategy

Develop organizational AI mission and align goals with enterprise strategy.

Phase B: AI Business Architecture

Map AI use cases, value drivers, and identify key stakeholders and impact areas.

Phase C: Information Systems

Define data architecture including ownership, quality, and lineage requirements.

Phase D: Technology Architecture

Define infrastructure, platforms, and tooling required for AI governance.

Phase E: Opportunities & Solutions

Identify potential AI solutions and prioritize based on risk, value, and feasibility.

Phase F: Migration Planning

Create roadmap to implement prioritized solutions with defined transition states.

Phase G: Implementation Governance

Define controls, audits, oversight bodies, and enforce compliance requirements.

Phase H: Change Management

Train staff, manage organizational change, and establish feedback loops.