AI Governance

In today's business environment, artificial intelligence (AI), particularly Generative AI (GenAI), signifies a fundamental shift in computing that is likely to impact every aspect of a company, from daily operations to long-term strategic planning. For boards of directors, the conversation around AI needs to move beyond simple compliance to actively addressing both the inherent risks and the significant opportunities it brings.

Our AI Governance service is designed to help boards go beyond mere compliance and develop strong governance structures for responsible AI adoption. As fiduciaries, a board's role is to protect the organization's long-term resilience and promote value creation. This service introduces a data-driven, quantitative approach to AI risk management, enabling boards to make informed strategic decisions about risk prioritization, mitigation, and capitalizing on opportunities.

Targeted Training: We offer customized training sessions to enhance board performance, translating governance theory into practical boardroom practices. Our programs go beyond generic governance training, combining expertise in legal, intellectual property, cybersecurity, and risk management to address pressing boardroom challenges.

Strategic Alignment: We collaborate with boards to ensure that AI initiatives align with the company's overarching strategy and established risk appetite. This includes facilitating board workshops to define and align on the organization's risk appetite.

 Risk Identification & Assessment: We assist boards in thoroughly identifying AI-specific risks, including those that are interconnected or emerging. This includes evaluating AI governance practices and addressing concerns such as data privacy, intellectual property, ethical dilemmas, and operational disruptions. We also conduct a risk leadership maturity assessment to evaluate the board's risk oversight capabilities and understanding of risk.

Legal, Ethical & Regulatory Guidance: We assist in establishing and integrating clear ethical standards for AI development and deployment. We also ensure that boards actively oversee and adapt to evolving AI regulations and applicable legal frameworks. Our strategy aligns with recognized standards, such as the NIST AI Risk Management Framework (AI RMF 1.0).

Performance Monitoring: We assist in setting clear metrics and regular reporting on the organization's AI risk stance and the effectiveness of its incident management processes. We also develop frameworks for tracking key risk indicators (KRIs) that are customized to your industry, company, and level of AI use and/or deployment.