Most enterprises today are deploying agents that are narrowly scoped rather than fully autonomous, he said. The near-term pattern is supervised autonomy, where agents execute portions of workflows while humans remain involved in approvals, oversight, and exception handling. Thus, agents are entering what he referred to as “clearly defined workflows,” such as research, onboarding support, and workflow orchestration.
Over the next several years, AI will move from standalone copilots to more connected agentic systems embedded directly into enterprise workflows, he noted. They will increasingly coordinate work across customers, suppliers, partners, employees, and enterprise apps. Agents will likely become ever more prominent in workflows around sales operations, onboarding, compliance, procurement, customer research, risk management, supplier evaluation, and monitoring.