Test Automation for a Decision Intelligence Platform
Decision Intelligence Platform for Financial Services
The client operates a cloud-native decisioning platform that consolidates data, AI models, and decisioning agents into a single governed environment, helping banks, credit unions, fintechs, and lenders automate critical decisions like credit risk assessment and fraud detection across the customer lifecycle. Serving a global base of financial services clients, the platform demanded continuous, reliable regression coverage as new features shipped. Codoid’s team joined as an extension of the client’s in-house QA team, focused specifically on automation, to keep pace with frequent releases without compromising reliability.
Test Cases Automated
Automation Coverage
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Enhanced and maintained a scalable automation framework aligned with the client's existing tools - Integrated automated regression runs into CI pipelines for daily execution
- Enforced daily code reviews with an approval-based merge process to maintain script quality
Tools we Used
Closing the Test Coverage Gap Under Limited Documentation
This created a risk of inconsistent coverage and slower releases, requiring the team to work closely with the client and lean on domain knowledge to resolve ambiguity rather than relying on formal specs.
Scalable Test Automation Strategy
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Built and maintained an automation framework using the client's existing tooling and standards - Automated 514 test cases across the platform's core workflows
- Executed automated regression suites daily, integrated directly into CI pipelines
- Collaborated with the client to clarify undocumented and ambiguous test scenarios using domain expertise
- Conducted daily code reviews with an approval-based merge process to maintain script quality
- Tracked automation progress weekly against a target of 700 test cases, prioritizing critical workflows first
What we did?
Automation Framework Development 
High-Volume Test Case Automation 
Continuous Regression via CI Integration 
Ambiguous Scenario Resolution Automation Framework Development
Built and maintained a scalable automation framework aligned with the client's existing tooling and coding standards, giving the team a consistent foundation to write, run, and extend test scripts as new features shipped.
High-Volume Test Case Automation
Automated 514 of the 700 planned test cases at a sustained pace of roughly 20 per week, prioritizing the platform's core workflows so coverage grew steadily even as the overall backlog evolved.
Continuous Regression via CI Integration
Wired the automated suite into the client's CI pipeline so regression checks ran on every build, catching issues before they reached later stages and removing the need for repetitive manual retesting.
Ambiguous Scenario Resolution
Where documentation left expected behavior unclear, the team worked directly with the client and applied domain knowledge to interpret intent, unblocking automation on scenarios that had no formal spec to test against.
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