Transforming COBOL-Based Legacy Systems into Actionable Documentation for a Financial Services Enterprise
E-Commerce
E-Commerce
E-Commerce
Key Highlights
- Documented a mission-critical COBOL-based core system supporting financial operations
- Eliminated dependency on undocumented tribal knowledge held by a shrinking expert pool
- Accelerated understanding of business rules embedded deep within legacy code
- Enabled safer maintenance and future modernization planning with AI-generated documentation
Problem Statement
01
The financial enterprise relied on a decades-old COBOL system running core transactional and reporting workloads
02
Original developers were no longer available, and existing documentation was outdated or incomplete
03
Business rules were tightly embedded within COBOL programs, making functional understanding difficult
04
Routine maintenance and enhancement cycles required weeks of manual reverse engineering
05
Modernization initiatives repeatedly stalled due to lack of clarity during the discovery phase
Solution Overview
01
Implemented IntDoc, an AI-powered legacy documentation solution, to analyze the COBOL codebase end to end
02
Automatically scanned source code, program structures, copybooks, and database schemas to extract system logic
03
Identified system dependencies, data flows, and control structures across batch jobs and online processes
04
Generated a Technical Document detailing system architecture, COBOL program logic, data interactions, and execution flows
05
Produced a Business Requirement Document (BRD) capturing extracted business rules, validations, and functional workflows
Business Impact
FAQs:
What type of financial system was documented in this engagement?
The engagement focused on a COBOL-based legacy system supporting core financial operations, including transaction processing, batch jobs, and regulatory reporting.
Why was traditional documentation not sufficient for this system?
Existing documentation was outdated and failed to reflect years of enhancements embedded directly in COBOL code, making it unreliable for maintenance and modernization decisions.
How did IntDoc extract business logic from COBOL programs?
IntDoc analyzed program structures, conditional logic, data access patterns, and copybooks to identify and document embedded business rules and workflows automatically.
What documentation artifacts were delivered to the enterprise?
The solution delivered a Technical Document covering system architecture and code logic, and a Business Requirement Document capturing functional workflows and business rules, both provided in PDF format.
How does this documentation support future transformation initiatives?
By establishing a clear and accurate understanding of the legacy system, the organization can confidently maintain the system or modernize to alternative technology stacks with reduced risk and predictable effort.
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