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In today’s complex enterprise environments, the true challenge of application modernization is not just transforming code—it’s understanding what that code does, why it exists, and how it connects to the broader business. COBOL and mainframe SMEs are retiring much faster than replacements can be trained, and they are taking that knowledge with them. CloudFrame Atlas was built to solve this problem. Atlas is a powerful analysis engine designed to provide deep visibility into legacy COBOL applications, enabling organizations to make informed, confident modernization decisions with clarity and speed.
Purpose-Driven Understanding, Not Just Code Analysis
Atlas goes beyond surface-level code scanning. It builds a semantic understanding of legacy applications, uncovering how business logic, data structures, and system interactions are woven together across decades of technical evolution. Whether organizations are looking to Retain, Refactor, or Reimagine their legacy systems, Atlas equips teams with the insight needed to reduce risk, scope modernization waves intelligently, and preserve institutional knowledge during the transformation process.
Business Value: Turning Legacy Complexity into Strategic Insight
- Reduce total modernization costs by eliminating unnecessary code and effort.
- Accelerate decision-making with fast, AI-assisted code comprehension and lineage tracing
- Reduce modernization risk by identifying hidden dependencies and logic paths before changes are made
- Unlock talent efficiency by enabling non-COBOL teams to engage with legacy code via natural language queries and human-readable outputs
- Drive modernization ROI by targeting transformation where it matters most to business goals and outcomes
- Support compliance and governance with documentation-ready analysis of business-critical logic and data flows
- Enable cross-functional collaboration by providing business-friendly documentation and logic clarity.
- Support compliance and governance with documentation-ready analysis of business-critical logic and data flows
Key Differentiators
- Agentic AI + Deterministic Analysis: Atlas combines deterministic code parsing with generative AI, enabling users to query business logic like an SME would—across programs, conditions, and datasets.
- End-to-End Lineage and Traceability: Visualize how data is used and transformed, from file or field to business output. Understand cross-program flows and interactions that would otherwise require weeks of manual review.
- Business Rule Extraction at Scale: Atlas doesn’t just document what’s running—it interprets why it’s running. Business rules, exceptions, and logic flows are extracted and mapped to human-readable knowledge artifacts.
- Business Intent Preservation: Legacy applications often encode decades of institutional knowledge. Atlas surfaces this logic, making it visible and transferable - preserving the "why" behind the "what."
- Knowledge Graph Generation: With each analysis, Atlas builds a semantic knowledge graph of the legacy estate. This is not just documentation—it’s an interconnected map of application behavior, data flow, control logic, and interdependencies.
- Natural Language Interface: Ask Atlas questions like “How is interest calculated?” and receive detailed, contextualized answers across COBOL modules.
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Micro-Level Metrics That Matter: Instead of telling you that an application is “moderate complexity,” Atlas tells you:
- The number of business rules
- Decision point density
- Code churn velocity
- Data I/O lineage
- Hidden technical debt areas
- Reuse opportunities
- Enterprise-Scale Proven: Deployed successfully on large, complex legacy portfolios with millions of lines of COBOL.