AI in software delivery: From pilots to performance (Ep 02)
Why you should join us
A quick preview of why engineering leaders are joining this session:
→ Avoid costly AI missteps once teams move beyond pilots
→ Justify AI decisions with real signals, not speed metrics or hype
→ See a production-grade workflow you can adapt for your own team
What you'll learn
During this session, we’ll cover:
- AI adoption journeys at different scales
A side-by-side look at how AI is adopted at SimCorp (large enterprise teams) and Synodus (a mid-sized engineering organization) — including how teams overcome technical and organizational constraints, move beyond off-the-shelf tools, increase adoption responsibly, introduce new capabilities, and decide when to build internal AI solutions. - Measuring AI impact beyond speed
How engineering leaders evaluate AI effectiveness beyond productivity metrics — focusing on code quality, rework, reliability, and long-term developer effectiveness. - Live case walkthrough: AI in code generation and review
A practical walkthrough of AI-assisted code generation and code review in a real delivery environment, showing how AI is integrated into daily workflows with clear guardrails and human-in-the-loop decisions.
Meet your speakers:
Christian Runge – Keynote Speaker | Senior Director, Engineering for AI & Insights , Simcorp
Christian Hemmeshøj Runge is Senior Director of Artificial Intelligence at SimCorp, where he leads the company’s AI strategy, platform development, and center of excellence. With over 25 years in software and enterprise systems, he specializes in building high-performing teams and translating complex technology into impactful business solutions.
Cong Nguyen – Host | Founder & CEO, Synodus
Cong Nguyen is the CEO and Founder of Synodus. He has spent over 2 decades leading large-scale software delivery teams in regulated domains such as banking, healthcare, and the public sector. He hosts the AI in Software Delivery series to surface real decisions, trade-offs, and practices from the field.
