Mainframe modernization
Application, data, and workflow modernization for environments where regressions are expensive.
Critical systems modernization
MSS combines AI-assisted engineering with the human ownership, validation, and release discipline needed for mainframe and Unisys environments.
Ford modernization case study
California Department of Justice
More client outcomes
Where MSS comes in
Every program starts with scope, constraints, and validation criteria. From there, MSS can lead the change directly or work inside a wider SI delivery model.
Application, data, and workflow modernization for environments where regressions are expensive.
Specialist experience for platforms many generic modernization teams cannot credibly cover.
Focused conversion capability for programs with non-standard rules, dependencies, and data paths.
How it works
Map dependencies, data flows, jobs, interfaces, and operational constraints before change starts.
Use AI for acceleration across discovery, conversion, documentation, and test generation.
Keep architecture, equivalence, release decisions, and client accountability with experienced people.
Visible delivery
Clients and delivery partners need more than status slides. MSS programs are organized around shared evidence: scope, assumptions, converted assets, test status, risks, and release decisions.
Engagement model
Scope the estate, risks, constraints, and modernization fit.
Capture rules, flows, interfaces, and validation criteria.
Execute conversion, integration, data continuity, and test work.
Hand over evidence, playbooks, training, and operating support.
Start with the system in front of you