Understand your legacy system before you modernize it.
Cloud Ascend uses AWS Transform-assisted analysis and expert review to recover business rules, map dependencies, evaluate modernization paths, and identify the delivery partner best suited to your system.
Legacy estate
- 1COBOL & JCL
- 2Batch workflows
- 3Data stores
Recovered intelligence
- 1Business rules
- 2Dependencies
- 3Domain boundaries
Executive decisions
- 1Modernization path
- 2Delivery waves
- 3Partner fit
Designed for systems where undocumented logic carries real business risk
The problem - Modernization programs fail early—when assumptions harden into plans.
Hidden business logic, incomplete documentation, aging expertise, and vendor-led discovery make it easy to choose a destination before understanding the system that has to get there.
- Lost knowledge. Critical rules live in code, operational workarounds, and the memory of a shrinking group of specialists.
- Entangled systems. Jobs, interfaces, data stores, and downstream consumers make apparently simple changes unexpectedly risky.
- Premature proposals. Providers naturally recommend the paths they deliver best—even when another path may fit the estate better.
What you receive - Decision-ready outputs, not another discovery slide deck.
Every finding is organized to support funding, sequencing, procurement, and a clean handoff to the implementation team.
Business-rule inventory
A traceable view of the decisions, calculations, validations, and exceptions embedded in legacy code.
System dependency map
Programs, jobs, data stores, interfaces, and operational relationships mapped into one usable model.
Modernization roadmap
Recommended disposition by domain, sequenced into defensible delivery waves with risks and prerequisites.
Partner recommendation
A partner shortlist and scoring matrix based on the actual demands of your estate—not generic capability claims.
The approach - From inherited code to an executable modernization decision.
Cloud Ascend sits between early discovery and delivery, creating the evidence both leadership and implementation partners need.
Secure intake
Define scope, access boundaries, evidence sources, and the executive decision to be supported.
Analyze
Use AWS Transform-assisted analysis to surface rules, dependencies, data flows, and candidate domains.
Validate & plan
Review findings with business and technical experts, compare paths, and sequence delivery waves.
Select & hand off
Score qualified partners against the actual program and provide a vendor-ready technical brief.
Modernization paths - The answer is rarely one transformation pattern everywhere.
We assess disposition at the application and domain level, then build a portfolio view that balances value, feasibility, cost, risk, and time.
Better partner selection
Match the provider to the work—not the work to the provider.
We turn the assessment into selection criteria: platform and language depth, target-architecture fit, delivery model, regulated-industry experience, tooling, economics, and knowledge-transfer commitments.
See how partners are evaluatedSecurity & governance - A controlled assessment for sensitive systems.
Scope and code handling are agreed before analysis. Access is limited, artifacts are handled under defined retention rules, and machine-produced findings are reviewed by people before they become recommendations.
- Least privilege. Access is limited to the repositories, artifacts, and personnel required for the agreed scope.
- Defined retention. Handling, storage, return, and deletion expectations are made explicit before sensitive material is transferred.
- Human validation. Extracted rules and inferred dependencies are reconciled with technical and business experts.
Start with clarity
Know what you have before choosing who will rebuild it.
Begin with a focused conversation about your application estate, constraints, and the decision your leadership team needs to make.