a 4-step modernization pipeline.
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discovery
In-depth inventory of existing systems, deep-dive analysis, and retrieval of business process documentation.
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reverse engineering
Deconstructing the legacy codebase, extracting logic, and mapping dependencies.
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transform - context engineering
Modernizing architecture, unifying knowledge, and building the Application Twin.
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generate - forward engineering
Generating modern specs, producing new code, and creating automated test frameworks.
the core engine.
the application digital twin.
Introducing the "Application Digital Twin" as the central nucleus of the platform. It is a living, interactive, and queryable knowledge hub that centralizes the absolute truth about the enterprise system. This twin relies on foundation models and a RAG Engine to analyze and understand complex code dependencies, providing hyper-specific, structured intelligence to the AI agents.
added value and business impact.
KPIs & ROI.
governance, security & trust.
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AI act ready- Native "Compliance-by-Design" built directly into the platform to meet the regulatory requirements of the European AI Act (EU Regulation 2024/1689, implemented in phases through 2028).
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AgenticSecOps- Implementation of advanced security frameworks to protect against emerging AI vulnerabilities.
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Human-in-the-loop- A hybrid operating model that ensures strict human oversight during key validation steps, guaranteeing safety without sacrificing scalability.
our proven expertise.
AI-SDLC solutions developed by Randstad Digital.
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