AI is advancing faster than institutional decision-making, risk models, and oversight structures were designed to handle. We work with executive leadership to close that gap—designing the mechanisms that allow AI to scale inside large organizations without eroding accountability, compliance, or trust. Our focus is not policy, but execution: how vendors are governed, how data is organized, how model performance is measured, how humans remain accountable, and how regulators stay aligned.
TruOS is a speciality advisory outfit providing board-level advisory services for responsible AI implementation and enterprise AI risk management.
Strategic AI governance consulting for Boards and C-suite executives. Development of AI oversight committees, risk appetite frameworks, and governance structures compliant with EU AI Act and US AI regulations.
Expert EU AI Act readiness consulting including compliance gap assessments, high-risk AI system classification, conformity assessment procedures, and implementation roadmaps for US and European organizations.
Implementation of Three Lines of Defense framework for AI risk management. AI model risk management consulting aligned with regulatory expectations including NIST AI RMF, ISO/IEC 42001, and IEEE AI standards.
Professional certifications demonstrating expertise across AI governance, data protection, and enterprise technology.
Comprehensive AI governance and compliance consulting services for organizations deploying AI at scale in the United States, European Union, and globally.
AI model risk assessment and validation frameworks aligned with regulatory requirements. Implementation of three lines of defense for AI systems including model governance, pre-deployment testing, and ongoing monitoring.
Responsible AI advisory services including algorithmic bias detection and mitigation, AI fairness assessments, discrimination prevention frameworks, and AI ethics board establishment for trustworthy AI deployment.
End-to-end AI compliance consulting across AI lifecycle. Gap identification for EU AI Act, US Executive Orders, and sector-specific AI regulations. Expert guidance on high-risk AI system requirements and conformity assessments.
Organizational capability assessment for AI governance implementation. Development of AI risk management systems, policies, procedures, and training programs for enterprise AI readiness and operational maturity.
Third-party AI audit services for M&A transactions and regulatory compliance. Independent assessment of AI model architecture, training data quality, bias testing, safety measures, and governance practices.
Strategic AI portfolio management consulting including Total Cost of Ownership assessment, ROI measurement frameworks, AI value realization, and resource optimization strategies for enterprise AI investments.
Microsoft Copilot readiness consulting and implementation support. Enterprise-wide deployment planning, data governance frameworks, security configurations, compliance assessments, and change management for generative AI adoption.
Peer-reviewed research and thought leadership on AI governance, EU AI Act implementation, and responsible AI practices.
Academic framework published in AI & Society addressing how to assign and coordinate risk management roles and responsibilities across organizations developing AI systems.
Read Publication →Comprehensive analysis of AI governance approaches across US, EU, and China covering regulatory structures, model evaluations, incident reporting, and CBRN hazards.
Read Publication →Three-level framework for measuring AI portfolio value integrating TCO, ROI, and SDG-aligned impact assessment developed with UN International Computing Centre and Cambridge University.
Read Publication →Strategic analysis of AI deployment for social good, examining governance frameworks and implementation strategies for humanitarian applications across international development contexts.
Read Publication →Implementation guide for organizations preparing for EU AI Act compliance with structured assessment criteria and readiness evaluation frameworks for high-risk AI systems.
Read Publication →Analysis of governance considerations for geospatial AI applications, addressing unique risks and regulatory requirements for location-based systems and spatial data processing.
Read Publication →Practical framework for evaluating AI systems through structured assessment methodologies, including case studies demonstrating application across different organizational contexts.
Read Publication →Examples of recent contributions across international organizations and public sector institutions.
Board-level AI governance workshop for UN-GGIM leadership on implementing responsible AI practices, risk management frameworks, and governance structures for geospatial applications.
View Organization →Advisory for implementing Principles for Ethical Use of AI in UN System including practical frameworks, assessment methodologies, and governance structures across agencies.
View Principles →Contributing to centralized platform consolidating UN AI activities providing unified access to governance frameworks, ethical guidelines, and implementation resources.
View AI Resource Hub →For board-level advisory on AI governance, risk management, or regulatory compliance