ServiceNow has begun embedding AI agents directly into mission-critical workflows including employee onboarding, benefits enrollment, and IT service management, according to Jacqui Canney, the company's chief people and AI enablement officer. Rather than deploying AI as a standalone tool, ServiceNow is automating repetitive decision-making processes and personalizing employee experiences at scale. This approach reflects a broader enterprise shift: marketing teams using generative AI are compressing research cycles from months to weeks, reducing consumer insight costs from tens of thousands of dollars to fractions of that amount. The acceleration is real, but it surfaces an uncomfortable question—as AI systems make consequential decisions about hiring, resource allocation, and customer interactions, who actually bears responsibility when something goes wrong?