# AI Managers May Oversee People and More Agents as Governance Expands By Simon Yoon Canonical URL: https://www.tokenpost.com/news/technology/28034 Published: 2026-10-08T12:13:05.000Z Updated: 2026-10-08T12:13:05.000Z Section: Technology > Some companies are broadening management responsibilities as AI agents enter workflows, while survey data shows deployment is outpacing oversight. Some companies are expanding management responsibilities as AI agents enter business workflows, requiring supervisors to monitor automated systems and own outcomes across mixed human-agent teams. “How do you manage the change when you’ve got a leader with three human employees and 19 agents?” Broadridge Chief Technology Officer Tyler Derr said. The example illustrates a management challenge rather than a confirmed Broadridge reporting structure. Broadridge’s operating framework calls for digital labor to be inventoried, audited and assigned a human contact responsible for outages. Its AIVision tool monitors digital labor, tracks exceptions and provides supervisors with performance and risk information. The Depository Trust and Clearing Corporation regulates bot processing speeds and access hours. It also requires digital workers to be registered and distinguishable from human staff. IBM’s Institute for Business Value surveyed 2,000 senior technology executives across 33 geographies and 19 industries from January through April 2026. Two-thirds of respondents said they were accountable for AI systems they did not fully control, while 70% said business teams were deploying technology faster than IT could track. Respondents expected the number of AI agents to rise 38% by 2027. Only 11% said their organizations were fully prepared for that scale, while 77% said AI adoption was outpacing governance. Surveyed organizations reported an average of 54 AI-agent incidents during the previous year. Seventeen percent were classified as high severity. Respondents said 37% involved data exposure or security breaches, 33% involved cascading system failures and 17% involved compliance issues. Organizations that embedded controls into AI systems experienced 25% fewer incidents than those relying on manual governance. The findings point to a management role that includes exception handling, system oversight and accountability for business results, not only employee supervision. “It is no longer just about deploying AI faster. It's redesigning how organizations control, govern and invest in it,” IBM Chief Information Officer Matt Lyteson said. The change follows wider adjustments in financial-sector workflows, including [Goldman Sachs’ expansion of AI-agent skills across junior roles](). IBM also recommends measuring AI by cost per completed outcome and quality-adjusted productivity rather than token usage alone. ## Links in this article - [Goldman Sachs’ expansion of AI-agent skills across junior roles](https://www.tokenpost.com/news/technology/27786)