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Series 20 - The Governance Layer: What Human Oversight of Autonomous Finance AI Actually Requires

by Ryigit · 4 episodes

Business

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Autonomous AI agents in finance can process transactions, file submissions, reconcile positions, and close books without waiting for human approval. What they cannot do is govern themselves. The governance layer — the human roles, decision frameworks, escalation structures, and attestation models that make autonomous action safe, auditable, and organisationally accountable — does not emerge from the technology. It has to be designed. Hosted by Rıdvan Yiğit | Founder & CEO, RTC Suite rtcsuite.com · [email protected] · linkedin.com/in/yigitridvan

Latest episodes

  1. Series 20 - The Deep Dive: Human Governance for Autonomous Finance Agents

    The human governance of autonomous finance agents is not a compliance overhead that sits alongside the agent deployment. It is the architectural component that makes autonomous dep…

    19 min
  2. Series 20 - The Debate: Closing the AI Agent Governance Gap

    The AI agent governance gap is the distance between the governance frameworks that organisations currently have and the governance frameworks that autonomous finance agents actuall…

    18 min
  3. Series 20 - The Critique: Human Governance Roles for Finance AI Agents

    The governance frameworks that most organisations are applying to their AI agent deployments were not designed for autonomous systems. They were designed for human processes — and…

    17 min
  4. Series 20 - The Brief: Human Teams to Govern AI Agents

    The deployment of autonomous AI agents in finance does not reduce the need for human judgment. It relocates it. The humans who previously spent their time processing transactions,…

    2 min
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