From Chaos to Clarity: Managing Agentic System Complexity in Cloud-Native FinTech
Workshop
Overview: AI adoption brings system complexity, especially when autonomy, orchestration, and cloud-native microservices collide. Based on my published research and enterprise experience, this workshop breaks down the complexity of deploying agentic systems responsibly. This workshop is aimed at senior engineers who are navigating cloud-native architectures while introducing autonomous AI components, without a clear blueprint.Contents:1. The New Complexity Stack a) Microservices, AI, and third-party code generators b) Where system chaos starts and why it escalates
2. Understanding Agentic AI Behavior a) Autonomy, memory, and hallucination risk b) Real-world examples from financial decision support
3. Design Patterns for Clarity a) Guardrails for system observability b) Tradeoffs: orchestration vs code generation
4. Scalability Without Burnout a) What senior engineers must lead: governance, ethics, reliability b) Designing systems that scale safely under load
5. Takeaways a) Agentic adoption roadmap b) How to test and monitor non-deterministic AI c) Alignment with team velocity and business outcomes
2. Understanding Agentic AI Behavior a) Autonomy, memory, and hallucination risk b) Real-world examples from financial decision support
3. Design Patterns for Clarity a) Guardrails for system observability b) Tradeoffs: orchestration vs code generation
4. Scalability Without Burnout a) What senior engineers must lead: governance, ethics, reliability b) Designing systems that scale safely under load
5. Takeaways a) Agentic adoption roadmap b) How to test and monitor non-deterministic AI c) Alignment with team velocity and business outcomes