Building a Multi-Agent Operating Layer for Enterprise SDLC

PowerTalk

About the session

Enterprise AI transformation requires moving past isolated AI extensions toward an integrated, workflow-embedded ecosystem. This session delivers a production-hardened case study of a multi-agent framework built to optimize the end-to-end Software Development Life Cycle (SDLC).
 
We will break down the practical mechanics of a modular, two-layer system architecture that cleanly separates core platform governance from composable multi-agent orchestration. The session will also demonstrate how we successfully deployed specialized agent cohorts Information Assistants, Bandwidth Augmenters, and Quality Evaluators tailored to specific enterprise personas like Business Analysts and Test Engineers along with the observability frameworks that drove measurable lifecycle efficiency gains for the platform.

Speaker

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