Vancouver
British Columbia, Canada
AI Management and
Governance
Why AI Governance
It is estimated that over 80% of AI projects fail to deliver anticipated business value. These failures are most often caused by organizations prioritizing the development of AI models over clear business objectives, governance, and long-term sustainability.
AI governance provides a structured approach to align AI development with business value, regulatory compliance, and continuous improvement, ensuring solutions remain effective, responsible, and adaptable over time.
AI Governance Overview
Effective AI governance focuses on four core elements: customer focus, data validation, responsible AI, and continuous improvement, ensuring that the models are adapted to changes to operating environments over time.
Several approaches are used to deliver AI solutions, each with distinct strengths and limitations. This proposed AI framework is based on PMI-CPMAI. Officially launched in September 2025, it incorporates proven practices from other methodologies to provide a comprehensive process supporting modern AI workflows, including deep learning, generative AI, MLOps, and cloud-based pipelines.
Implementation Approach
The implementation approach consists of an iterative process of continuous improvement, with success largely dependent on the first iteration.
The goal of the first iteration is to adapt and tailor the framework to the organization’s needs and capacity. This approach implements a minimum viable process that delivers value quickly, and establishes a strong foundation for continuous improvement in subsequent iterations, until a goldilocks framework is achieved.
Right-fitting the framework requires consultations to understand the organization’s unique context, and desired outcome.
Claude Valin
Consultant with extensive experience delivering enterprise-scale technology, AI, and business transformation initiatives in regulated, multi-site environments.
Proven expertise in implementing governance, and adapting delivery frameworks to align with business strategy and capacity.
PMI-CPMAI, PMP, PMI-ACP, PRINCE2, ITILv3, SAP Activate PM