Angela McNeal on Controlled Autonomy in Enterprise AI

MTS29m 6s
Angela McNeal in lavender beside the blue and white headline Control AI Agents on black.
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    Angela McNeal describes controlled autonomy: setting boundaries on agentsAn agent permission boundary defines and enforces which resources and actions an automated agent is allowed to use., involving people at appropriate decision points and retaining a record of the overall workflow.

    She discusses the complexity of assembling enterprise systems and argues that deciding what to optimize and how to route decisions is often harder than the routing technology itself.

    Using financial and defense settings as examples, McNeal discusses the stakes of errors and how domain experts must define trade-offs. She says broad decision automationWorkflow automation uses software or AI to complete a connected sequence of routine steps with less manual effort. remains difficult and expects workflows to improve through iteration.

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    Video topic coverage

    • Agents & workflows100
    • Coding & tools0
    • Models & learning0
    • Infrastructure & compute0
    • Research & evaluation0
    • Safety & security83
    • Business & productivity88
    • Creative & media0
    • Robotics & perception0
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    Angela McNeal in lavender beside the blue and white headline Control AI Agents on black. With WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 8 November 2026 and duration 29m 6s.

    Angela McNeal explains why enterprise AI workflows need clear decision logic, oversight and records.