Karsun Solutions, an enterprise modernization company delivering solutions to mission-driven organizations and public sector agencies, announced it achieved the Generative AI Consulting Services Competency. This designation recognizes Karsun’s proven technical expertise and demonstrated success helping customers build and deploy generative AI solutions on Amazon Web Services (AWS).

As an AWS Partner Network (APN) Advanced Tier Services Partner, Karsun continues to expand its portfolio of AWS recognitions. In addition to this new competency, it holds AWS competencies in Mainframe Modernization, Migration and Modernization, Government, and DevOps, and is a recognized AWS Well-Architected Partner.

Accelerating Enterprise AI with the ReDuX Platform

Central to Karsun’s generative AI solutions is its ReDuX platform. ReDuX applies specialized AI agents to accelerate enterprise modernization by transforming legacy systems into AI-ready applications. The platform rapidly analyzes complex enterprise environments, extracts institutional knowledge and business rules, generates production-ready code, automates testing, and creates comprehensive documentation, helping organizations modernize with greater speed, accuracy, and confidence.

Built with enterprise governance and human oversight at its core, ReDuX enables organizations to responsibly adopt generative AI while maintaining the security, transparency, and traceability required for mission-critical systems.

Delivering AI-Powered Modernization

Karsun helps government agencies and commercial organizations move beyond AI experimentation by embedding generative AI throughout the software modernization lifecycle. With ReDuX, organizations can:

  • Analyze and blueprint legacy applications using AI-powered discovery.
  • Extract business rules and institutional knowledge from decades-old systems.
  • Generate modern application code and supporting documentation.
  • Automate testing and quality assurance to accelerate delivery.
  • Enable human-in-the-loop modernization with enterprise governance and security.

By combining the ReDuX platform with decades of modernization experience, Karsun helps organizations modernize legacy systems, accelerate software delivery, and prepare their technology ecosystems for enterprise AI.

The ReDuX platform is now available to federal and commercial customers in AWS Marketplace and at GoReDuX.ai.

About Karsun Solutions

Karsun Solutions modernizes legacy systems, enabling government agencies and enterprise organizations to elevate mission capability. IT solutions from Karsun are tailored to meet mission-driven organizations’ unique needs and optimize operations. These solutions adapt and stay relevant to current trends while using secure, digital architecture built to last. Karsun is a proven modernization partner whose expertise ensures every next opportunity is within reach. Learn more at Karsun-LLC.com.

About ReDuX

The ReDuX AI-powered platform expedites the modernization of mainframe and other legacy system applications. Key tools in the platform include its blueprinting agents, which provide deep insights into system structure and behavior, and its transformation agents, which use the outputs from the blueprinting agents to generate code and facilitate incremental migration. These agents enhance security and privacy through project-specific deployments, reduce hallucinations by grounding AI in customer artifacts, and provide proven prompt templates that accelerate developer productivity. Learn more at GoReDuX.ai.

For more information or media requests, contact the Karsun Marketing Team at marketing@karsun-llc.com.

As organizations move from AI experimentation to real implementation, one thing is becoming clear: there is no single path to integrating large language models (LLMs). The way enterprises adopt AI depends heavily on where they start, whether that is application development, data infrastructure, or regulatory requirements.

At Karsun, we see this play out across customers. Instead of pushing a single solution, our focus is on helping organizations navigate this growing ecosystem of enterprise AI platforms and then select the approach that best aligns with their goals and mission. We work with many of  the most common enterprise AI platforms including Amazon Bedrock, Databricks Mosaic AI and Snowflake Cortex.

Two Ways Organizations Are Approaching AI

At a high level, enterprise AI strategies tend to fall into two categories. Some organizations prioritize speed and accessibility, adopting API-driven services that make it easy to integrate AI into applications. Others prioritize control and governance, embedding AI directly into their data platforms as part of a broader enterprise AI platform strategy. I like to think of this as a spectrum, ranging from a high-end all-you-can-eat buffet to a custom Michelin-star kitchen. Some enterprise AI platforms are designed for speed and flexibility, allowing teams to quickly access a variety of models and get started with minimal overhead. Others are built for control and customization, enabling organizations to tailor models, workflows, and governance to their specific data and requirements. 

Neither approach is inherently better. They reflect different priorities, and in many cases, organizations are starting to use both, aligning each approach to the specific problem they are trying to solve.

Enterprise AI Platform for Speed and Optionality

Amazon Bedrock 

Amazon Bedrock represents a more application-layer approach to AI. It provides a fully managed, serverless enterprise AI platform that provides access to multiple foundation models through a single API, removing the need to manage infrastructure.

This allows teams to move quickly from experimentation to production. Developers can integrate AI capabilities, test across different models, and scale usage without needing deep expertise in model hosting or data engineering. Built-in guardrails and simplified retrieval-augmented generation workflows also make it easier to incorporate enterprise data while maintaining appropriate controls. For many organizations, especially those already operating in cloud environments, this becomes a practical way to introduce AI without significant overhead.

Enterprise AI Platform for Control and Customization

Databricks Mosaic AI

Databricks Mosaic AI reflects a different approach by embedding AI directly within the data platform. Instead of sitting on top of the stack, it becomes part of the broader data and analytics workflow.

This gives organizations tighter control over how models are built and trained. Teams can work directly with proprietary data and develop more customized solutions. It also supports more complex, multi-step AI systems that go beyond simple prompt-response use cases. For organizations where AI is deeply tied to data strategy, this type of enterprise AI platform is essential to delivering reliable and repeatable outcomes.

Snowflake Cortex

Snowflake Cortex represents another data-centric approach to enterprise AI by embedding AI capabilities directly within the data cloud. Similar to Databricks Mosaic AI, it focuses on bringing models closer to where enterprise data already lives. This allows organizations to run AI-powered functions directly within Snowflake using familiar tools like SQL and Python. Teams can apply LLM capabilities including classification and data enrichment without needing to move data outside the platform or manage additional infrastructure.

For organizations already invested in Snowflake, Cortex becomes a natural extension of their data strategy. It enables teams to integrate AI directly into analytics and reporting workflows while maintaining strong governance and control over sensitive data.

Built for Compliance and Change

For enterprise and government customers, these decisions are rarely just technical. Compliance, security, and regulatory requirements often play a central role in shaping AI architecture. Some organizations prioritize managed enterprise AI platforms with built-in guardrails to simplify compliance, while others require full control over their data and models to meet strict governance standards. Both approaches are reflected in platforms like Bedrock,  Mosaic AI, and Snowflake Cortex.As regulations evolve and model availability changes, organizations need the ability to adapt without being locked into a single provider or model. At Karsun, this is a key part of how solutions are designed. Our goal is to help customers build AI systems that align with their compliance frameworks while remaining adaptable over time.

Connect with our team and learn more about Karsun’s AI solutions to see how these enterprise AI platforms can be applied to your organization’s needs.

HERNDON, VA — Karsun Solutions, a leading provider of enterprise modernization software and solutions, announced it was named to the Northern Virginia Technology Council (NVTC) AI50 list. AI50 Companies are outstanding organizations whose artificial intelligence (AI) use creates customer value, transforms operations, and advances the Washington region’s AI leadership.

Karsun’s ReDuX Platform Drives Growth

Karsun has over 15 years of experience providing information technology services to the U.S. federal government. In 2025 it expanded its offerings to include new AI solutions while launching its ReDuX® AI-powered platform in the commercial market. Since its launch Karsun received repeated recognition for its ReDuX® platform including identification in the recently released 2026 Information Services Group (ISG) Provider Lens® Mainframes  — Services and Solutions report for Application Modernization Software

The ReDuX® platform uses agentic AI to accelerate key modernization tasks from discovery to delivery.  ReDuX® uses AI agents to automate critical modernization tasks including blueprinting legacy systems, business logic and requirements extraction, code conversion and test automation, and the creation of custom digital workforces for common tasks.

Karsun recently released a pair of mainframe modernization case studies demonstrating the platform’s capabilities. These highlight the platform’s traceability and explainability features and show how teams use ReDuX® to reimagine document workflows. Learn how it works at GoReDuX.ai/how-it-works.

Karsun’s Technology Leadership in the D.C. Region

Karsun has previously received recognition on the NVTC’s Tech 100 ranking of the 100 leading companies in the Northern Virginia region located in the Washington, D.C. metro area. Its commitment to integrating emerging technologies into its software and solutions is led by the Karsun Innovation Center. This in-house research and development unit is responsible for developing the ReDuX® platform

The 2026 AI honorees will be celebrated at the NVTC’s Impact AI Summit on May 14, 2026. The recognition solidifies Karsun’s position as an emerging leader in the AI software and solutions market in one of the nation’s most dynamic technology ecosystems. Register to join Karsun and the other honorees at https://nvtc.glueup.com/event/impact-ai-summit-166407/.

About Karsun Solutions

Karsun Solutions modernizes legacy systems enabling government agencies and enterprise organizations to elevate mission capability. IT solutions from Karsun are tailored to meet mission-driven organizations’ unique needs and optimize operations. These solutions adapt and stay relevant to current trends while using secure, digital architecture built to last. It is a proven modernization partner whose expertise ensures every next opportunity is within reach. Learn more at Karsun-LLC.com.

About ReDuX

The ReDuX AI-powered platform expedites the modernization of mainframe and other legacy system applications. Key tools in the platform include its blueprinting agents, which provide deep insights into system structure and behavior, and its modernization agents, which use the outputs from the blueprinting agents to generate code and facilitate incremental migration. These agents also bring enhanced security and privacy, offering project-specific usability by interfacing with various systems, overcome hallucinations noted in large language models (LLMs), and provide proven prompt templates to save developers time and effort. Get started at GoReDuX.ai.

Karsun Solutions Contact

marketing@karsun-llc.com

HERNDON, VA — Karsun Solutions, the enterprise modernization experts, today announced its recognition in the 2026 Information Services Group (ISG) Provider Lens® Mainframes Services and Solutions report. The firm was identified as a Contender in the U.S. Public Sector Application Modernization Services quadrant and a Product Challenger in the Global Mainframe Application Modernization Software quadrant.

As public sector agencies face the dual challenges of an aging workforce and the expiration of stimulus funding, Karsun has established itself as a strategic partner capable of bridging high-end federal engineering to state and local government engagement. ISG’s research highlights Karsun’s deep domain expertise in modernizing mission-critical, complex government systems that require strict compliance and end-to-end traceability.

ReDuX: The Capability Driver for AI-Native Modernization 

Central to Karsun’s recognition is ReDuX®, its AI-native modernization platform. ReDuX leverages agentic, multimodal AI to automate critical modernization tasks, including:

  • Blueprinting and Requirements Extraction: Documenting black box legacy systems to understand complex, undocumented applications.
  • Code Conversion and Test Automation: Accelerating throughput while reducing the risks associated with manual refactoring.
  • Human-in-the-Loop Governance: Ensuring auditability and verification, which is essential for regulated public sector environments.

Using ReDuX Karsun claims teams deliver four times faster with two times less rework. It recently released a pair of mainframe modernization case studies. These demonstrated ReDuX’s traceability and explainability features and a modernization engagement that reimagined document workflows for a legacy certification system. Karsun shares how ReDuX works at GoReDuX.ai/how-it-works.

Delivery Discipline Plus Public Sector Expertise

Karsun’s public sector expertise is boosted by its delivery discipline. Its work is underpinned by its CMMI Level 5 appraisal and commitment to quality, enabling predictable, measurable outcomes across complex legacy landscapes. This high level of compliance allows Karsun to provide enterprise-grade security to state and local agencies, meeting the same rigorous standards required of federal agencies.

Karsun brings this validated public sector experience to rigorous execution of modernization initiatives for commercial enterprises. Backed by the Karsun Innovation Center, its experts deliver modern software development, cloud, data and AI solutions. Learn more about Karsun’s professional services at karsun-llc.com/solutions/.

About Karsun Solutions

Karsun Solutions modernizes legacy systems enabling government agencies and enterprise organizations to elevate mission capability. IT solutions from Karsun are tailored to meet mission-driven organizations’ unique needs and optimize operations. These solutions adapt and stay relevant to current trends while using secure, digital architecture built to last. It is a proven modernization partner whose expertise ensures every next opportunity is within reach. Learn more at Karsun-LLC.com.

About ReDuX

The ReDuX AI-powered platform expedites the modernization of mainframe and other legacy system applications. Key tools in the platform include its blueprinting agents, which provide deep insights into system structure and behavior, and its transformation agents, which use the outputs from the blueprinting agents to generate code and facilitate incremental migration. These agents also bring enhanced security and privacy, offering project-specific usability by interfacing with various systems, overcome hallucinations noted in large language models (LLMs), and provide proven prompt templates to save developers time and effort. Get started at GoReDuX.ai.

Karsun Solutions Media Contact

marketing@karsun-llc.com

About ISG Provider Lens® 2026 Mainframe Services and Solutions Study

The ISG Provider Lens® 2026 Mainframes Services and Solutions study analyzes the relevant software vendors/service providers in the U.S. PS, Global markets, based on a multi-phased research and analysis process, and positions these providers based on the ISG Research methodology. Learn more at

HERNDON, VA – Karsun Solutions, a premier provider of enterprise modernization solutions, announced it has received Amazon Web Services (AWS) Mainframe Modernization Consulting Competency status. This designation validates Karsun’s technical proficiency and proven success in migrating and transforming legacy mainframe workloads into agile, cloud-native environments on AWS.

An AWS Partner Network (APN) Advanced Tier Services Partner, Karsun continues to solidify its position as an enterprise-grade digital transformation leader. In addition to this new competency, Karsun holds AWS competencies in Migration and Modernization, Government, and DevOps, and is a recognized AWS Well-Architected Partner.

Accelerating Modernization with the ReDuX Platform

Central to Karsun’s mainframe modernization strategy is its ReDuX® platform. ReDuX utilizes agentic AI to rapidly assess and analyze complex mainframe systems. By mobilizing specialized AI agents, the platform automates development tasks including code translation, business rule extraction, and end-to-end testing. This comprehensive suite empowers government agencies and enterprise organizations to reimagine their legacy systems while modernizing with unprecedented speed and accuracy.

“Earning the AWS Mainframe Modernization Consulting Competency is a milestone that reflects our commitment to helping clients break free from legacy constraints,” said Badri Sriraman, Senior Vice President, Karsun Innovation Center. “With our ReDuX platform, we aren’t just moving code. We are using agentic AI to reimagine entire systems, ensuring they are scalable, secure, and fully optimized for AWS.”

Proven Mainframe Modernization Success

Karsun’s mainframe modernization capabilities are highlighted in several recent high-impact case studies:

The ReDuX® platform is now available to federal and commercial customers via the AWS Marketplace and at GoReDuX.ai.

About Karsun Solutions

Karsun Solutions modernizes legacy systems enabling government agencies and enterprise organizations to elevate mission capability. IT solutions from Karsun are tailored to meet mission-driven organizations’ unique needs and optimize operations. These solutions adapt and stay relevant to current trends while using secure, digital architecture built to last. It is a proven modernization partner whose expertise ensures every next opportunity is within reach. Learn more at Karsun-LLC.com.

About ReDuX

The ReDuX® AI-powered platform expedites the modernization of mainframe and other legacy system applications. Key tools in the platform include its blueprinting agents, which provide deep insights into system structure and behavior, and its transformation agents, which use the outputs from the blueprinting agents to generate code and facilitate incremental migration. These agents also bring enhanced security and privacy, offering project-specific usability by interfacing with various systems, overcome hallucinations noted in large language models (LLMs), and provide proven prompt templates to save developers time and effort. Get started at GoReDuX.ai.

For more information or media requests, contact the Karsun Marketing Team at marketing@karsun-llc.com.

Joe Gebbia, the nation’s first-ever chief design officer, is planning to reshape federal government websites. Calling for delightful websites, the new America by Design initiative calls on agencies to modernize the interfaces that serve everyday citizens. Signaling a new era for government websites, agentic AI may provide the key to unlocking the rapid transformation required to meet this challenge.

The Foundation: A Brief History of USWDS

The cornerstone of this transformation is the U.S. Web Design System (USWDS). Launched in 2015, USWDS was created to provide a shared set of design tools and user interface (UI) components for federal agencies. According to the USWDS history, the project was born from the need to reduce design debt and create a consistent appearance across federal websites. Beginning with a small library of buttons and forms, USWDS eventually evolved into a robust ecosystem used by hundreds of federal projects to ensure accessibility, mobile-friendliness, and trust.

The Product Mindset: Meeting User Expectations

Modernizing federal applications is about more than meeting a set of requirements. Service delivery experts know delivering a delightful user experience requires a fundamental shift in strategy. At Karsun, we advocate for a Product Mindset.

Users expect a seamless experience. Government applications should work across devices. They should meet evolving expectations such as the integration of chatbots. A Product Mindset asks delivery teams to consider not only users’ needs today, but also their future needs. It builds in feedback loops to continuously track and ensure expectations are met. Its modernization and digital transformation that delivers applications designed for every next, ensuring they remain resilient and adaptable using not only design best practices but secure, modular, digital architecture.

ReDuX: The Bridge to the Future

Bridging the gap between legacy systems and delightful, yet compliant, interfaces is a monumental task. This is where the ReDuX platform provides a revolutionary AI-powered solution.

ReDuX uses agentic AI to ensure modernization efforts align perfectly with user intent. By taking user demos as an input, ReDuX analyzes real-life behavior to craft functional requirements that reflect how people actually use a service.

Today, ReDuX incorporates the USWDS among its input during code generation. This ensures that every line of code produced adheres to federal design standards by default. Furthermore, because ReDuX can ingest any reference material provided, it is future-proof. When USWDS evolves to the next era of web standards, ReDuX can meet the challenge, optimizing applications to new standards as they emerge.

The path to better service delivery doesn’t have to be slow. With the power of agentic AI and a Product Mindset approach, federal agencies can transform applications faster than ever before.We invite you to learn how ReDuX can help your agency deliver delightful websites that honor the mission and respect the user. Let’s build the future of federal digital services, together.

For the last decade, microservice architecture has been king. Breaking down massive, monolithic applications into small, independently deployable services revolutionized how we build and scale software.

But what’s the next step?

We’re on the verge of the next major evolution, one that infuses our systems with intelligence. We’re moving from a world of reactive microservices to one of proactive micro-agents.

This isn’t just a change in buzzwords. It’s a fundamental shift from building systems that wait for commands to building systems that understand goals.

The Now: The Reactive Microservice

First, let’s look at the microservice as we know it.

A microservice is like a specialist at a desk with a phone. It’s an expert at one specific task such as checking inventory, processing a payment, sending an email. It’s highly efficient, but it’s also dumb. It does absolutely nothing until someone calls its API and gives it a very specific, rigid command.

  • It’s Reactive: It waits for a request.
  • It’s Task-Oriented: It executes a single, well-defined job.
  • It’s Unaware: It has no concept of the “bigger picture” or the user’s ultimate goal.

All the smart logic for coordinating these services lives elsewhere, often in a central “Orchestrator” service or hard-coded into the application’s front-end. If the payment service fails, the orchestrator must have pre-written, rigid logic to handle that specific error.

The Next: The Proactive Micro-Agent

Now, imagine that same specialist, but instead of just giving them a command, you give them a goal.

This is the micro-agent. It’s an intelligent, autonomous entity that has an objective and the power to decide how to achieve it.

  • It’s Proactive: You give it a goal (e.g., “Get this order shipped”), and it decides the steps.
  • It’s Goal-Oriented: It understands the “why” behind a request, not just the “what.”
  • It’s Context-Aware: It can plan, execute, and even handle errors dynamically.

If the payment agent fails, the checkout agent doesn’t need to follow a rigid script. It can reason about the problem. It might decide to try an alternative payment method, or it might call the notification agent to ask the customer for a new card, all without human intervention.

The Secret Sauce: AI as the Reasoning Engine

What makes this shift possible? Artificial Intelligence (AI) and Large Language Models (LLMs).

An LLM acts as the brain or the reasoning engine for the agent. It’s what gives the agent the power to understand a complex goal, break it down into steps, and orchestrate the tools needed to get it done.

In this new model, your old microservices don’t disappear. They become the “tools” in the agent’s toolbox.

  • The PaymentService (a microservice) is just a tool.
  • The PaymentAgent (a micro-agent) is the intelligent “brain” that knows when and how to use that tool.

A Tale of Two Checkouts

Let’s look at a simple e-commerce example to see the difference in action.

ArchitectureMicroservice (Today)Micro-Agent (Future)
The ActionA central OrderService is triggered.A CheckoutAgent is given a goal: “Complete this user’s purchase.”
The ProcessThe OrderService follows a rigid, hard-coded path:1. CALL InventoryService2. IF stock > 0 THEN CALL PaymentService3. IF payment_ok THEN CALL ShippingService4. ELSE THROW PaymentErrorThe CheckoutAgent autonomously decides its path:1. “I’ll ask the InventoryAgent if the item is available.”2. “It is. I’ll ask the PaymentAgent to charge the card.”3. “Payment succeeded. I’ll tell the ShippingAgent to create a label.”4. “All done. I’ll tell the NotificationAgent to send a confirmation.”
The “Uh Oh”If the PaymentService fails, the OrderService crashes unless a developer specifically coded a catch block for that one error.If the PaymentAgent fails, the CheckoutAgent re-plans. “Hmm, payment failed. I’ll ask the CustomerAgent to check for a backup card. If not, I’ll ask the NotificationAgent to email the user.”

The Future is Autonomous

Microservices were about decentralizing tasks. This was a huge step forward.

Micro-agents are about decentralizing decisions.

This is the logical and necessary next step for building systems that are not just scalable, but truly intelligent, resilient, and autonomous. The specialists in our architecture are finally getting the promotion they deserve. They transition from order-takers to problem-solvers.

This blog is part of our ongoing series spotlighting our enterprise modernization experts. This edition’s featured author is Hari Narayanan, a Solution Advisor and Architect in the Karsun Innovation Center. Connect with him on LinkedIn.

Join Karsun Solutions on LinkedIn for more from our Enterprise Modernization Experts. To start building with your own autonomous agents check out GoReDuX.ai. For more on our approach to modern software development check out our solutions https://karsun-llc.com/solutions/.

A contractor supporting a critical mainframe modernization project for a state government agency, faced a significant challenge. Tasked with migrating a legacy COBOL system, the contractor’s initial pilot migration attempt using AWS Blu Age could not fully meet customer requirements. The tool could only output Java and not meet the new requirement for Python or C#. Furthermore, the migration lacked traceability, making it impossible to validate. This contractor engaged Karsun Solutions, which leveraged its AI-powered ReDuX modernization platform. Using Agentic AI capabilities powered by Amazon Bedrock, ReDuX automatically analyzed the legacy system and generated the required C# programs, Summer Batch Core workflows, and MS SQL Server tables, delivering the 100% traceability needed to successfully complete the pilot.

About the Customer

The customer was one of three vendors awarded a contract for a cloud services project for a state government agency. This project’s goal is to modernize a core business system by converting legacy mainframe code to Python or C# while moving to a cloud-based platform.

Customer Challenge

A state government agency initiated a high-priority project to convert its legacy system to a modern, cloud-based platform. The state’s primary goals were to enhance security, improve flexibility, ensure data redundancy, and lower long-term maintenance costs.

The project was structured in two phases: a competitive part one pilot awarded to three bidders, followed by a part two award for the full system conversion given to a single winner from the pilot. The customer team was tasked with migrating a subsystem for the pilot, as it was the least entangled with other subsystems.

The customer’s initial modernization attempt hit two critical roadblocks. First, the agency’s requirements evolved. After initially preferring Java, the state later specified a preference for Python or C#. This immediately put the team’s approach in jeopardy, as AWS Blu Age can only create code in Java. Second, they were unable to show file-level COBOL program traceability to modern programs. This made validation and future maintenance impossible in the mind of the customer. Failure to solve these challenges would result in a failed pilot and disqualification from the lucrative part two of the contract.

The Partner Solution

The pilot contract was explicitly for cloud services. The state agency sought the enhanced security, flexibility, and redundancy that a cloud-native solution provides. The successful solution embraced this by using a suite of AWS-native services. Additionally, Karsun used its AI-powered modernization platform, ReDuX, to solve complex traceability problems in legacy systems and could output modern C# code, directly meeting the new requirements.

The ReDuX platform rapidly analyzed the system and generated a fully modernized, traceable equivalent.

  1. Agentic Analysis: First, Karsun used its ReDuX Blueprint tool. This tool, which is powered by Amazon Bedrock, applied GenAI models to analyze the system, including COBOL programs, JCL, and DB2 database tables. This process created a comprehensive and fully documented map of the legacy system’s architecture and business logic.
  2. Automated Transformation: With this detailed blueprint, Karsun’s ReDuX Code Companion used agents to automatically transform the legacy application. The modernized solution consisted of:
    • Agentic Analysis: First, Karsun used its ReDuX Blueprint tool. This tool, which is powered by Amazon Bedrock, applied GenAI models to analyze the system, including all COBOL programs, JCL, and DB2 database tables. This process created a comprehensive and fully documented map of the legacy system’s architecture and business logic.
    • Automated Transformation: With this detailed blueprint, ReDuX Code Companion used agents to automatically transform the legacy application. The new, modernized solution consisted of:
      • Modern C# Application: C# programs were generated for every COBOL program. Verifiable, one-to-one mapping solved the traceability problem. This new application is hosted on .NET Core containers over the AWS EKS service or on EC2 instances.
      • Cloud-Native Batch Processing: Summer Batch Core workflows were generated for every JCL, converting all mainframe batch processes into cloud-native, serverless workflows.
      • File Storage: Application files are now stored in AWS S3.
      • Angular Front-End: A new user interface in Angular precisely mimicks the flow of the original mainframe green screens, such as the menu and work order creation screens.
      • MS SQL Server Tables: Every legacy DB2 database table was migrated to a new table in MS SQL Server.

Results and Benefits

Karsun’s AI-powered ReDuX platform successfully delivered a modernized pilot application that met all of the state’s requirements, rectifying the failures of the initial attempt. The primary benefit was the achievement of 100% traceability for the entire application stack.

The key success metric was the one-to-one mapping of legacy assets to modern, cloud-native code, all made possible by the GenAI analysis from AWS Bedrock:

  • Every COBOL program was converted to a corresponding C# program, now running in .NET Core containers on AWS EKS or EC2.
  • Every JCL was converted to a Summer Batch Core workflow.
  • Every DB2 table was migrated to an MS SQL Server table.

This provided the customer with a complete, verifiable, and maintainable modern application, allowing them to successfully complete the pilot.

About Karsun Solutions

Karsun Solutions modernizes enterprise systems enabling agencies to make the next technological advancement their next opportunity to elevate mission capability. Solutions are tailored to meet agencies’ unique needs and optimize operations. These solutions adapt and stay relevant to current trends while using secure, digital architecture built to last. It is a proven modernization partner whose expertise elevates agency capabilities and ensures every next opportunity is within reach.

Learn more about Karsun’s Cloud Solutions.

In a blog published shortly after its annual re:Invent conference, Amazon Web Services (AWS) announced AWS Transform composability. This co-innovation initiative empowers AWS Partners to create specialized modernization AI agents for industry-specific mainframe workloads. As part of the initiative, AWS announced 11 initial co-innovation partners. ReDuX from Karsun Solutions is a member of this inaugural cohort.

AWS Transform composability enables AWS Partners, including Migration and Modernization Competency Partners and Independent Software Vendors (ISVs), to create differentiated transformation solutions by integrating their specialized AI agents, tools, knowledge bases, and workflows with AWS Transform. This collaboration provides customers with access to targeted, specialized solutions tailored to their unique modernization needs.

AWS Transform Composability Benefits 

By integrating partner capabilities, the AWS Transform composability initiative offers significant business value by dramatically improving the speed, accuracy, and specialization of complex mainframe modernization projects.

Cost Savings from Accelerated Modernization

By leveraging specialized AI agents and automation from AWS and its partners, organizations can reduce mainframe modernization timelines from years to months. The increased precision and time savings gained from automating complex, industry-specific tasks translate directly into substantial cost reductions, with reports indicating average cost savings of 30-40% compared to traditional, manual modernization approaches.

Preservation of Critical Business Logic through Specialization

The initiative allows partners (like Karsun’s ReDuX) to build agents that recognize and handle highly technical or industry-specific patterns in legacy mainframe code. For instance, enterprise organizations working with Karsun can leverage the Government Competency Partner’s 15+ years working in highly-regulated industries. Working with specialized partners ensures greater accuracy in code transformation, preserves critical, implicit business rules that generic tools often miss, and ultimately results in a modernized cloud-native application that is both technically sound and functionally equivalent to the mission-critical legacy system.

In addition to these benefits, partner tools, such as Karsun’s ReDuX platform, bring unique insights into the modernization process. As a result, teams can proactively identify risks and eliminate technical debt early. This upfront intelligence leads to a significant reduction in rework and testing cycles, accelerating delivery and increasing confidence in the final, compliant, and scalable cloud solution.

Elevated Capabilities: Enhanced User Insights with ReDuX

One of these enhanced capabilities includes ReDuX’s unique emphasis on user behavior during legacy system analysis. Its agents deliver novel insights into user behavior and intent by combining analysis of the legacy system with user experience artifacts.

The agents then organize complex data into functional requirements, actionable user stories and automated test scripts. This behavioral and functional insight is essential for complex systems modernization, ensuring that the modernized system maintains functional equivalence while meeting the current needs of its users.

By integrating their specialized tools like ReDuX into the AWS Transform ecosystem, partners can build composable transformations that combine their proprietary expertise with AWS’s intelligent automation, accelerating modernization timelines and reducing risk for customers. Visit GoReDuX.ai to learn more.

If you followed us on LinkedIn on Halloween 2019 you may remember our Karsun “Zombie Slayers” pledged to eliminate a common legacy system scourge, dead code. Six years later our zombie code toolkit has expanded to include artificial intelligence (AI). The ReDuX AI-powered modernization platform and its Blueprint Lenses help our agile teams identify threats early and address their presence as part of the modernization process rather than risking cascading issues after deployment.

Three Zombie Code Threats

Zombie code typically refers to sections of source code in a software project that are no longer used or needed but still exist within the codebase. These unused code segments may have been part of previous versions of the software or were once essential but have become obsolete due to changes in requirements, design, or functionality. This creates system scar tissue that further complicates and constrains modernization efforts.

We identified three threats that still haunt enterprise teams today: dead weight code, living dead code, and vulnerable dead code. 

  1. Dead Weight Code is not related to any application functionality. Its lack of function leads to resource drain. Remediating this non-functional code siphons away developers’ time and energy creating rework and technical debt.
  2. Living Dead Code is dormant code that retains the ability to be activated. Perhaps it supports a feature no longer used by the system. However, this code poses a direct risk because it can negatively impact system output when activated by mistake. In 2019 we recounted Knight Capital’s catastrophic loss of $440 million in 30 minutes. This code woke up a dead zombie method, which incorrectly generated orders, flooding the stock market with trades.
  3. Vulnerable Dead Code consists of old libraries or packages. Vulnerable dead code introduces security risks because these old components have known security issues that are easy targets.

Identifying Dead Code with AI

Over the past six years we have honed our zombie fighting skills building the ReDuX platform. Accelerating modernization with AI, the ReDuX platform begins by providing in-depth legacy system insights. This not only helps Karsun agile teams design better modern systems, it helps us identify zombie risks early so they do not impact development later. 

The first step in our process is building a Blueprint of the legacy system then diving deeper with Blueprint Lenses. Legacy subject matter experts (SMEs) upload documentation, codebases, schema and other materials into ReDuX. Using AI ReDuX agents identify the relationships between system code and components. These agents then create several views, or lenses, to understand the system better. 

For instance, a team viewing their system in ReDuX could view their API calls, scroll through requirements and compare the code citations to ensure accuracy. As part of this process they can also identify orphan code. Thus beginning the dead code analysis process.

Addressing Zombie Code Threats with System Blueprinting

Here’s how we use AI-powered Blueprint agents to address the three types of zombie code.

  1. Dead Weight Code is addressed using AI to generate system requirements. By matching those requirements with specific sections of code we can also determine when code exists that does contribute to meeting these functional requirements. By only extracting functional equivalents, rather than automatic conversion, we can then abandon this type of zombie code in the legacy system graveyard. 
  2. Living Dead Code is addressed with AI by speeding up the discovery process. Now legacy SMEs can focus on the work of understanding how every component of the legacy system interacts with internal and external components. And, by fully generating system business rules and business logic they have a clearer picture of potential unintended consequences of living dead code.

    Teams can then proactively determine the code and system functionality they will extract from the old system to build the new system. More importantly they can do this incrementally, preserving the old system to build new components one functional slice at a time. This provides an additional backstop against living dead code.
  3. Vulnerable Dead Code is also targeted by extracting only the code we need. Further by focusing on functional equivalents we can modernize to optimize. Using AI code companion agents for development, we replace these libraries with modern architecture that is secure by design.

Whether moving away from risky code or outdated components, time is of the essence when trying to outrun zombie code. Providing four times faster delivery with two times less rework ReDuX is an essential tool for our zombie slayer teams. If you’re facing a similar challenge, our AI empowered teams address complex legacy challenges for government organizations and enterprise teams with complex mission-critical applications. Learn more about our capabilities at https://karsun-llc.com/solutions/.