AI/R Compass UOL Launched AI/Cockpit Smart Engineering
The new software tool enables enterprises to modernize legacy mainframe code through AWS Marketplace integration.
Updated on Oct. 6, 2026 in Software
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AI/R Compass UOL has released AI/Cockpit Smart Engineering on the AWS Marketplace. The platform leverages AI to analyze and transform legacy systems into modern codebases for financial and insurance enterprises.
Why it matters
The tool addresses critical operational risks for large firms as the pool of professionals familiar with mainframe technologies continues to decrease.
The platform supports legacy languages including VisualAge, Assembly, and RPG. It achieves functional equivalence in testing while reducing development effort by 80% for COBOL and JCL modernization projects.
The players
AI/R Compass UOL
This technology services company maintains a workforce of over 1,900 AWS-certified professionals.
AWS Marketplace
This digital catalog allows customers to find, test, buy, and deploy software that runs on Amazon Web Services.
The details
AI/Cockpit Smart Engineering integrates discovery and documentation tools with AWS Transform to decompose legacy systems. By utilizing AWS Transform composability, the platform allows engineers to build specialized agents tailored for specific modernization stages.
Timeline
October 6, 2026: AI/Cockpit Smart Engineering launched in AWS Marketplace.
The Tech Race
This release reflects the broader industry transition away from aging mainframe architectures that underpin many financial institutions. It accelerates the trend of replacing legacy languages like RPG and Assembly with modern cloud-compatible alternatives.
Enterprise developers can expect significant workflow improvements through reduced manual documentation and decomposition tasks. Companies adopting the platform may see faster deployment cycles as navigation speeds improve following the modernization of legacy code.
The takeaway
Automating legacy system decomposition is becoming essential for firms looking to mitigate the loss of specialized mainframe knowledge. Businesses should evaluate their technical debt to determine if automated migration offers a path toward faster development lifecycles.
What happens next
A specific insurance client project is expected to be completed in six months.
Further reading
For more on industry shifts, visit the Software section.
More information
View full platform specifications on the AI/Cockpit Smart Engineering AWS Marketplace page.
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Do you trust artificial intelligence to safely modernize critical business systems?
