AI in Software Development: Designing & Delivering Real ROI
Description
Forget the AI hype and focus on real ROI in the Software Development Lifecycle (SDLC). This episode features Method's Jason Rome and Raj Sethi with ISG experts Ashwin Gaidhani and Tapati Bandopadhya, who trace a clear path from AI tools to measurable outcomes. They argue that coding speed isn't the bottleneck—specs, testing, pipelines, and change management are.
We break down the mechanics of ROI: how specification elaboration unlocks downstream gains, the decision between human-in-the-loop vs. agent-in-the-loop, and integrating GenAI into CI/CD. We also discuss cost, risk-adjusted ROI (F1 score plus risk), and practical wins for legacy modernization, like AI-driven requirement discovery and service-oriented modernization. The conversation also introduces 'stability lanes' and covers what leaders get wrong (tooling without process change, microservices by default), advocating instead for platform thinking and a conductor's mindset to orchestrate micro-tasks for real lift.
Episode Resources:
Jason Rome on LinkedIn: /jason-rom-275b2014
Raj Sethi on LinkedIn: in/rajsethi
Ashwin Gaidhani on LinkedIn: in/ashwin-gaidhani
Tapati Bandopadhya on LinkedIn: in/tapatibandopadhyay
Method Website: method.com
GlobalLogic Website: globallogic.com
ISG Website: isg-one.com
United States
