In the race toward digital innovation, enterprise IT teams are often held back by legacy systems that have evolved over decades with little documentation. These systems, many over 15 years old, still power core business operations for 74% of enterprises. Yet maintaining them consumes more than 60% of IT budgets. The bigger issue lies in the reliance on tribal knowledge: when seasoned developers retire, their understanding retires with them. This results in onboarding delays, fragile support operations, and costly downtime. Without a clear grasp of the embedded logic and workflows, even routine changes become risky and time-consuming.
Surprisingly, the root of the problem isn’t the legacy technology itself. It’s the lack of visibility and systemic understanding that turns these systems into bottlenecks. Most modernization efforts fail not because of technical limitations, but due to insufficient insights 43% of digital initiatives go over budget, and 38% fail to meet business goals. Without structured documentation, every upgrade becomes a shot in the dark. Today, AI offers a breakthrough: it can re-learn undocumented business rules, make sense of outdated code, and turn chaotic systems into structured, navigable knowledge layers.
That’s exactly what RocketDev.AI delivers. As a purpose-built AI-native platform for Rocket Software systems, it decodes complexity using a domain-trained large language model and specialized parsing algorithms. It automatically discovers hidden logic, builds enduring institutional memory, and empowers developers to become productive in weeks instead of months. The results speak for themselves: 50% faster onboarding, 60% quicker ticket resolution, and 40% improved support efficiency. With RocketDev.AI, enterprises can finally de-risk modernization, reduce technical debt, and turn their most challenging systems into strategic assets, unlocking innovation instead of funding stagnation.
By Thilina Herath
Chief Technical Officer (CTO) at Mitra Al
