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Don’t let your system knowledge walk out of the door. Use AI and automation to document your applications to develop a current understanding of them. Analyze that information to maintain your systems or develop an app modernization strategy.
Applications evolve with changes in legislative and business policies. These updates rarely get documented except in the memory of support personnel. Hence, when these employees leave or retire, the “brain drain” is significant and becomes irreplaceable when substitute personnel have little to no knowledge of the technologies in which these applications have been developed. This increases the cost and risk of keeping software updated, managing technical debt, and moving forward with rationalization and modernization initiatives when needed.
current application documentation using 100% automation
incoming support personnel
areas of optimization to manage technical debt and vulnerabilities
app modernization budgets by starting with an application assessment
the documentation to simplify maintenance and make informed decisions on an app modernization strategy
As the “baby boomer” generation approaches retirement age, CIOs and IT decision-makers are beginning to see the knowledge gaps that their departures create.
Understanding and analyzing your legacy applications is crucial for any organization’s digital success and long-term sustainability. See how detailed application analysis helps drive efficient and sustainable application transformation.



Drive business value, reduce complexity and mmanage the application portfolio with application rationalization.

Modernize applications using the Intellisys platform to enable business and technology transformations.
When undocumented systems face a “brain drain” due to the departure or retirement of original developers and support personnel, organizations can leverage AI and automation to safeguard critical system knowledge through fully automated and comprehensive documentation and knowledge artifacts and traceability and impact analysis features.
By deploying automated assessment tools, organizations secure themselves against permanent institutional knowledge loss while reducing the risks and costs inherent in legacy maintenance. For more details see Documentation & Analysis.
AI and automation help organizations understand and explain older systems by converting undocumented code into structured, readable information and moving quickly while mitigating manual risks. AI-augmented tools like EvolveWare’s Intellisys platform facilitate this through:
Understanding a legacy system—especially where original knowledge is lost—requires a variety of information and the ability to analyze that information. This includes:
Together, these inputs and analysis tools help organizations recover system knowledge and build a single source of truth across applications. The Intellisys Platform provides you with tools to do exactly this.
Once documentation has been created through an automated assessment, the resulting information can be used in several strategic and operational ways to maintain and evolve legacy systems:
ADSO
ASP
Assembler
C/C++
CL/DCL/ECL/JCL
C#.Net
COBOL
Cold Fusion
EasyTrieve
Forte
Fortran