Legacy Modernization
A financial-services company depends on a 30-year-old mainframe application for account servicing and fee calculation. ASE recovers the application's behavior, connects code to business rules and incrementally modernizes bounded capabilities without a high-risk big-bang rewrite.
Example project. The company, systems and figures are made up.
Documentation has not kept pace with three decades of change. The people who understand fee calculation are retiring, downstream operations depend on batch file interfaces, and every proposed change carries unquantified risk.
The request
Modernize account servicing and fee calculation into maintainable cloud-ready services without changing customer outcomes or disrupting downstream operations.
Systems involved
How it runs
What ASE does at each stage and who approves it.
Inputs
Agent activity
Human authority
Mainframe engineers and business SMEs validate high-risk rules and select a bounded capability.
Approval criteria: High-risk rules validated and the pilot capability boundary agreed.
Outputs
Traceability created
Hand-off: Validated rule inventory scopes the functional recovery.
Output
Sample outputs from this project. All data is made up.
Dependency graph
Program, copybook, job and table dependencies for the pilot capability.
Approvals
Discover
Validate high-risk rules and select the bounded capability
Approved by: Mainframe engineers and business SMEs
Define
Resolve contradictory or unknown behavior
Approved by: Business SMEs
Design
Approve capability boundaries and coexistence controls
Approved by: Architecture, security and operations
Validate
Approve equivalence evidence and difference classification
Approved by: Business and technology owners
Deploy
Authorize each traffic increment
Approved by: Operations
Solution
Target architecture
How it traces back
Targets
Goals to prove in a pilot, not client results.
In-scope dependencies mapped
Modeled pilot target 95% or more with human validation
Target range depends on system and process complexity
Critical fee rules traced to source
Modeled pilot target 100% for the pilot capability
Potential outcome to validate
Golden-master equivalence
Modeled pilot target at least 99.9%, with all differences classified
Potential outcome to validate
Production traffic moved
Modeled pilot target 5–10% controlled pilot
Target range depends on system and process complexity
Starting points are made up. Real results depend on your systems and processes.
Enterprise Process Transformation
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DISCOVER · DEFINE · BUILD · OPERATE
Data Intelligence & API Enablement
A diversified enterprise holds customer, product, service and commercial data across operational systems, warehouses and files.
DISCOVER · DEFINE · DESIGN · OPERATE
In a guided build, we run your own project through the same steps, with your systems and approval rules.