Edith Heroux

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...