Edith Heroux

Implementing advanced AI capabilities in internal audit functions represents one of the most significant operational transformations organizations can undertake. Yet many initiatives fail not from technological limitations but from incomplete planning and execution. Success requires systematic attention to technical, organizational, and governance dimensions that span far beyond simply purchasing and deploying software. This comprehensive checklist distills critical implementation steps, each with specific rationale explaining why it matters and what happens when organizations skip or shortchange the effort. Organizations embarking on Generative AI for Internal Audit journeys benefit enormously from structured implementation frameworks that address all critical success factors. This checklist provides that framework, organized into sequential phases that build upon each other. While every organization's context differs, these elements represent non-negotiable foundations for susta...

Deploying autonomous intelligent systems into enterprise environments is a high-stakes undertaking where oversights can lead to operational disruptions, compliance violations, or significant financial losses. Unlike consumer applications where failures inconvenience individual users, enterprise deployments affect entire organizations, their customers, and sometimes regulatory standing. A systematic approach that addresses technical, organizational, and governance dimensions dramatically increases the likelihood of successful implementation while minimizing risks that have derailed countless initiatives. This comprehensive checklist distills lessons from hundreds of deployments into actionable verification steps. Whether you're implementing your first autonomous system or expanding an existing program, these checkpoints ensure you've addressed critical success factors before committing to production. The framework for evaluating Enterprise AI Agents must encompass both technica...