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Modernize applications using the AI enhanced Intellisys platform to enable business and technology transformations. Increase your innovation and performance potential and reduce costs and risks associated with legacy technologies such as COBOL, PowerBuilder, mainframes and more.
Speed up timelines, mitigate risk, and ultimately achieve success
Use this approach with the Intellisys platform and complementary tools and services, to allow for multiple paths to legacy modernization.
For any legacy application transformation initiative, Intellisys helps you start by assessing your applications. The platform uses custom trained AI/ML technologies to generate documentation artifacts with
90%+ less time & effort.





Determine maintenance needs & an application modernization strategy using automated assessment tools.

Drive business value, reduce complexity and mmanage the application portfolio with application rationalization.
Application modernization is the process of transforming legacy or outdated software so that it meets the demands of today’s environment. This can include transforming just the technolog(ies) the software is built on to operate more efficiently, or it can include a robust review and update of the policies being enacted by the application. It is a strategic shift that can involve upgrading, restructuring, re-architecting, or fully replacing legacy systems so they are faster, more secure, easier to maintain, and aligned with organizational requirements for the future.
The business case for modernization is clear: standing still with legacy systems is expensive. Modernization delivers:
The 7 Rs framework promoted and adopted by Gartner, Amazon, and other large technology companies categorizes the primary strategies available for modernizing any given application:
The right choice for each application depends on its business value, technical condition, risk profile, and long-term strategic alignment. The Intellisys platform enables organizations to determine the best strategy and supports the Rehost, Refactor, Rearchitect, Rebuild, and Replace strategies. It also enables organizations to make decisions around Retain or Retire.
Even well-funded modernization programs encounter predictable obstacles:
Addressing these challenges requires clear planning, strong leadership alignment, and tooling that provides genuine visibility into the legacy environment before transformation begins, exactly what Intellisys is built to deliver.
Modernizing legacy applications without disrupting business operations is one of the most pressing challenges organizations face today. Successful modernization starts with thorough planning and stakeholder alignment — understanding system dependencies, documenting existing processes, and ensuring all parties agree on what to preserve, update, or remove. A phased, incremental strategy with pilot projects and intermediate checkpoints along with keeping legacy systems synchronized with modernization work throughout the process is critical. Ultimately, modernization should be viewed as a continuous journey rather than a one-time project, requiring ongoing attention, automation, and a commitment to business continuity at every stage.
AI technologies can be used to accelerate timelines for understanding of current applications, consolidation of business logic into rules or policies, and the transformation process if sufficient, detailed context is provided to the models. This includes both deterministic AI models as well as the newer Generative AI models. Incorporating these technologies into tools is valuable, but it is important to note that particularly the newer AI models still require a human-in-the-loop process. This is where experienced developers or other key stakeholders review outputs and make adjustments as needed and is essential for successful and accurate results. The Intellisys platform is built with this in mind, which is why we consider it an AI-Augmented platform.
ADSO
ASP
Assembler
C/C++
CL/DCL/ECL/JCL
C#.Net
COBOL
Cold Fusion
EasyTrieve
Forte
Fortran