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Corporate treasury is built on control. What happens when AI begins making liquidity decisions at machine speed? This video examines how an agentic treasury can automate cash positioning, forecasting, risk sensing, and execution without surrendering institutional authority. You’ll learn where authority must be encoded, how escalation protects the institution, and why autonomy and accountability must remain inseparable. What authority would you give an AI treasury agent—and what decision should always require human approval? Share your perspective in the comments. Chapters 00:00 Why treasury AI needs a new architecture 00:35 The five-layer agentic treasury 01:11 Build the institutional control plane first 01:58 Forecast with verifiable agentic intelligence 02:45 Coordinate agents to solve liquidity risk 03:38 Connect safely through MCP execution boundaries 04:35 Keep authority and accountability human 05:23 Deploy incrementally by risk level 05:51 Governance first, automation last Learn more: https://www.theagenticinstitution.ai #AgenticTreasury #AutonomousFinance #AIGovernance © 2025-2026 Driss Temsamani. All rights reserved. The Agentic Institution framework is authored by Driss Temsamani and adapted from The Agentic Bank. No reproduction, redistribution, republication, transmission, or commercial use without prior written permission. Inquiries: [email protected].

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