Agile Ahmedabad 2025 : Premier Lean

Parasuram Chandrasekaran

Manager Consulting Expert
CGI IT Services and Consulting

With over 15 years in the IT industry, I am a SAFe Practice Consultant (SPC) and ICP-Certified Agile Coach specializing in large-scale agile transformation and training. At CGI, a global leader in consulting, technology, and outsourcing services, I help teams and portfolios adopt agile ways of working and digitize solutions that deliver measurable value for customers.

I have a proven track record of mentoring agile teams, driving cultural change, and implementing frameworks such as Scrum, Kanban, and SAFe. I co-created a Product Owner mentorship program, designed and delivered SAFe and tailored agile trainings, and facilitated organizational shifts that balance people, process, and technology.

Beyond transformation work, I actively lead initiatives in release management optimization, DevOps and AI adoption, and governance model design for global clients. I am also shaping CGI’s proprietary AI-powered testing & requirements platform, CGI NAVI, creating business cases, roadmaps, and cost-benefit analyses for enterprise adoption.

Community building is central to my work. As part of Agile Network India, I organize and moderate conferences and workshops across the country—bringing together CXOs, practitioners, and students to explore agile, AI, ESG, and leadership topics. I am passionate about fostering communities of practice, creating learning opportunities, and promoting a culture of experimentation, innovation, and human-centric adoption of AI and Agile.

Session Title

Agile Scars, AI Lessons: 5 Mistakes We Must Not Repeat

Session Overview

Every transformation journey leaves its own lessons. Two decades ago, many organizations embraced Agile only to stumble—treating it as a tool, mismeasuring progress, and ignoring cultural change. Today, as leaders push AI adoption, we risk repeating those same mistakes in new forms.

In this session, I’ll share five critical Agile-era missteps—such as metrics misalignment, silver-bullet thinking, and culture neglect—and reveal their direct parallels in AI initiatives. Drawing on my real-world experience leading Agile and AI transformations, I’ll offer a practical playbook: aligning AI use cases with business value streams, embedding human-centered change management, choosing meaningful outcomes over flashy outputs, and avoiding diffusion of focus.