Agentic Systems Without Chaos: Early Operating Models for Autonomous Agents

About this episode

The episode discusses the implications of autonomous agents in software systems and the necessary operating models to manage their unpredictability.

Are you ready for your new non-deterministic co-workers? Autonomous agents promise to help build, operate, and run software systems, but they can also be unpredictable, chaotic, and difficult to control without the right operating model. In this episode of Next Generation Architecture Playbook, Shweta Vohra and Joseph Stein explore what changes when software systems start planning, acting, and making decisions on their own. The conversation distinguishes truly agentic use cases from traditional automation and looks at how architects and engineers should think about boundaries, orchestration, and system design in this new environment. The episode also explores the practical realities organisations face early in adoption. These include emerging risks such as prompt injection and tool misuse, the growing need for stronger observability and explainability, and how human-in-the-loop models fit into autonomous workflows. Joseph shares lessons from building a centralised AI platform used across multiple teams and products, including the unexpected operational challenges that arise when internal adoption accelerates quickly. The discussion offers a grounded look at how enterprises can…

People in this episode

Guests: Shweta Vohra, Joseph Stein

Topics covered

• autonomous agents
• operating models
• software systems
• system design
• emerging risks
• observability
• human-in-the-loop

Keywords

• agentic systems
• chaos
• automation
• orchestration
• prompt injection
• tool misuse
• AI platform
• operational challenges

Mentioned in this episode

Organizations: InfoQ

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