Earlier this month, Karsun Solutions sponsored the AI House at the Consumer Electronics Show (CES). CES is the most powerful tech event in the world for consumer technology and a place where new ideas around artificial intelligence, robotics, and digital innovation take shape. The AI House is the most exciting part of CES for enterprise technology leaders, offering a focused space to explore how AI is transforming complex systems and shaping the future. It brings together leaders from influential brands, and platforms to focus specifically on how AI is transforming complex systems. 

In an interview recorded live at CES, Badri Sriraman, who leads Karsun’s Innovation Center, discusses three key approaches for organizations modernizing legacy systems. Each of these accelerates transformation without losing the institutional knowledge that makes these systems work. 

Inspired by the conversations at the CES AI House, his insights closely reflected what the Karsun ReDuX team sees every day in the field. The outcome of modernization efforts depends not only on tools alone, but also on how well organizations understand the decisions and intent embedded in their existing systems. If you would like to hear more insights,watch videos from all the technology experts interviewed at the AI House here.

Legacy Systems Are Repositories of Critical Knowledge

Legacy systems are living repositories of decades of operational decisions. Teams embed thousands of policies into the code of systems, based on their needs at that time. At the same time, much of this process was never documented externally and, often only a handful of people truly understand why systems behave the way they do. This is why modernization efforts so often stall or fail.

Modernizing without first understanding this embedded knowledge is risky. Successful modernization must start with learning and mapping workflows. That means analyzing legacy systems, understanding the decisions that shaped them, and capturing institutional knowledge before attempting change. Only with this foundation can organizations modernize safely, retain critical knowledge, and make decisions that align with business priorities.

Traceability Is Key to Successful Modernization

In his interview, Badri emphasized the importance of traceability. Too often, modernization efforts focus on moving code or changing platforms without preserving the business logic behind the system. Without traceability, testing, validation, and future maintenance become difficult, and teams lose the ability to explain why systems behave the way they do. Decisions made years or even decades ago including policies, exceptions and workflows are often hidden or undocumented, leaving teams unsure of the impact of changes. This lack of visibility increases risk and slows progress, making modernization more costly and prone to errors. Building traceability into the process helps teams retain critical knowledge, make informed decisions, and modernize with confidence.

AI-Powered Modernization with ReDuX

Due to the deep technical and operational complexity of legacy systems, modernization carries a high risk of failure. As Badri emphasized, it is essential to understand the “why” behind these systems, including why decisions were made, why workflows were structured in a certain way, and why rules were implemented, before making any changes. ReDuX tackles this challenge by combining human expertise and AI-powered agents that analyze legacy applications at both a structural and behavioral level. It studies how the system is built, extracts business rules, and captures how users interact with it. This produces a clear blueprint that guides teams to make informed decisions grounded in the system’s design, logic, and the priorities embedded in legacy systems.

The platform also accelerates the technical transformation itself. ReDuX agents generate modern, modular, and cloud-native equivalents of legacy code, helping teams reduce development effort, preserve functional equivalence, and retain institutional knowledge. ReDuX transforms modernization from a high-risk, manual effort into a scalable, AI-assisted process. This approach gives organizations clarity, traceability, and confidence, ensuring modernization decisions support business goals while preserving the system’s original intent. 

Want to see how ReDuX brings clarity and confidence to legacy modernization? Book a demo to explore the platform firsthand, or stay tuned for our upcoming webinar co-hosted with Modev, the team behind CES AI House, for deeper insights and real-world examples.