Experts from the Karsun ReDuX team recently joined the Fed to Fed podcast. Badri Sriraman and Judewin Gabriel joined Zack Schwartz, former CIO for the U.S. Department of Commerce, and Susan Sharer, CEO of GOVTECH CONNECTS and host of the Fed to Fed podcast. In this new episode, they discussed the use of artificial intelligence agents for rapid modernization. That includes legacy system challenges, overhyped AI, and crafting effective solutions given operational challenges.
An Urgent Need for Rapid Modernization
As they observe, the need for modernization is pervasive across government agencies. Driven by an expectation for faster, more robust, and bigger and better capabilities, today’s agencies demand speed and efficiency. Meanwhile, public expectations, shaped by advancements seen in the news, push government organizations further.
At the same time, federal leaders must balance the rise of overhyped AI solutions. These may not be fully vetted, lack support and fall flat in production environments. How then can systems integrators build trust while providing the rapid modernization solutions government agencies need?
ReDuX: The AI-First Modernization Platform Answer
To meet this demand for efficiency, agility, and accuracy, Karsun Solutions developed ReDuX, an AI-first platform that rethinks how modernization happens. It brings rapid modernization to legacy systems that have evolved over decades and often lack institutional knowledge. Even though this complexity increases risk, ReDuX moves beyond manual assessments to provide transparency and generate high quality, production ready code that requires less rework, speeding time to delivery.
How ReDuX Enables Rapid Modernization
- Multimodal AI agents build knowledge graphs from various inputs, including source code, documentation, schema information, and system demonstrations.
- Agents extract logic (APIs, batch jobs, user flows, calculations) and convert it into human-readable summaries, backed by citations.
- Agile teams review and assess legacy domains, then uncover user behaviors, business rules, data flows, and system architecture.
- Agents and teams translate business requirements into Given-When-Then (GWTs) for behavior-driven development (BDD).
- Teams reimagine the modernized systems, generating new software capabilities while preserving required functionality and supporting automated testing, ensuring functional equivalence between old and new systems.
- Teams then mobilize agents that take this information and other inputs as they generate purpose-fit, production-ready code.
The result, two times reduced effort, two times improved quality, and four times reduced time to implementation. Moreover, ReDuX takes several steps to improve the trustworthiness of the outputs produced by its AI agents. That includes using human-in-the-loop to validate outputs, automated reprocessing, implementing formal methods that specify software behavior, and active learning. If mistakes slip through, the system enables teams to trigger automated reprocessing based on feedback, making the blueprint agents smarter and more reliable over time.
The Next Evolution: Autonomous AI Agents
Karsun Solutions has a 15-year history of large-scale modernization work for federal agencies, and Redux emerged from this experience. Now the ReDuX team is applying that experience by evolving their platform to use the latest technological development. Autonomous AI agents link together forming a digital workforce capable of handling everything from product user stories to technical and production tickets. These agents learn from feedback, adapt to priorities, and collaborate like a real team. This enables precise, focused micro tools and facilitates moldable development.
Listen to the podcast for a deep dive into their process. Ready to get unstuck? Connect with our team to start your AI-powered rapid modernization journey.