Agentic Governance : Why Enterprise AI Changes the Rules of Governance

Описание: As enterprises move from generative AI experimentation toward autonomous AI agents, governance is becoming one of the most critical challenges facing technology leaders today.

In this episode of Enterprise Tech Talk, host Saumitra Kalikar speaks with Jesper Lowgren to unpack how organisations should govern agentic systems, multi-agent ecosystems, and autonomous enterprise AI.

The conversation explores:
▪ What defines agentic systems
▪ Why traditional governance models are insufficient
▪ Runtime governance and emergent behaviour
▪ Agentic middleware and contextual architectures
▪ Goal-based governance and policy engines
▪ Explainability, trust, and provenance
▪ Enterprise architecture’s evolving role in AI governance
▪ Practical advice for CIOs and enterprise leaders

Chapters

01:22 — Introduction
02:25 — Jesper’s AI & Architecture Journey
04:15 — What Defines Agentic Systems?
08:06 — AI Governance vs Agentic Governance
09:29 — Emergent Behaviour in Multi-Agent Systems
12:31 — Why Traditional Governance Fails
15:34 — Atomic Agents & Governance by Intent
21:39 — Goal Architectures & Policy Engines
23:42 — Reference Architecture for Agentic Governance
24:09 — Agentic Middleware & Context Management
28:20 — State Machines & Runtime Controls
32:33 — Ontology, Semantics & Shared Meaning
35:27 — Operating Models & Accountability
37:51 — Building Trust in Agentic Ecosystems
39:37 — Explainability, Provenance & Runtime Governance
42:15 — Enterprise Architecture in the Agentic Era
45:28 — Practical Advice for CIOs
48:09 — Closing Remarks

This episode is highly relevant for CIOs, enterprise architects, AI leaders, governance teams, risk professionals, and technology strategists preparing for the next phase of enterprise AI transformation.

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