Inside an AI-Powered SDLC:
From Change Request to Test Execution in Minutes
What QA, BA, and Release Leaders Must Know to Stay Relevant in the Next 2 Years
Meet the Presenters
Ravi Ayyalaraju
Ravi brings deep experience in enterprise application testing, change management, and AI-driven transformation across SAP, Oracle, and Workday ecosystems. He works directly with enterprise QA and IT leaders navigating the shift to AI-powered delivery.
David Pickrell
David has spent 20+ years working with large enterprises on delivery speed and change management. He developed the SAP Change Velocity Framework and brings hands-on experience from leadership roles at Worksoft, Oracle, and IBM/Tivoli.
45 Minutes That Could Reshape How You Think About SDLC
AI is rapidly reshaping the SDLC, but real impact doesn't come from LLMs alone. It comes from how business and process context is built, and how decisions are incorporated. In this session, we'll explore how combining LLMs with enterprise context, decision traces, and workflow intelligence can unlock 30 to 40% efficiency gains across QA, BA, and Release processes.
Latest LLM Breakthroughs for Enterprise SDLC
What's actually new, what's hype, and which capabilities matter for QA, BA, and Release workflows right now.
Where LLMs Fall Short in Enterprise Environments
Why enterprise context, decision history, and process memory are the missing layer most AI implementations ignore.
How to Unlock 30 to 40% Efficiency Gains
A practical walkthrough of combining LLMs with workflow intelligence to compress the change-to-test cycle.
How AI is Changing QA, BA, and Release Roles
What these roles look like in 2 years, what skills matter, and how to position yourself ahead of the shift.