Our Solutions:
We conduct end-to-end workflow validation from invoice upload to approval, disbursement, and reconciliation while ensuring multi-level approvals, credit checks, and a smooth user experience. All processes are tested for compliance with KYC/AML and regional regulations, alongside regression testing to verify complex business logic remains stable.
We build robust automated test suites for APIs integrating with ERPs, banks, and credit bureaus, support regression testing in Agile/CI-CD pipelines, automate UI tests using Selenium, Cypress, and Playwright, and validate business-critical logic like rules engines, pricing, and discounting algorithms.
By analyzing historical QA data, AI enhances testing through predictive defect detection, smarter test coverage, and self-healing scripts. It also uses dynamic risk heatmaps to prioritize regressions and generates synthetic data to validate edge cases more effectively.
The invoice lifecycle includes uploading, PO matching, discounting, and payment processing, supported by techniques like reverse factoring, dynamic discounting, and buyer-supplier agreements. Payment file validation is done using test libraries for formats like MT103, ISO 20022, and ACH. Integration testing ensures smooth connections with ERP, treasury, and credit scoring systems.
Testing liquidity dashboards, cash pooling logic, and fraud detection, along with real-time payment validation for ACH, SWIFT, SEPA, and RTGS, can be automated for platforms like Kyriba, FIS Quantum, and SAP Treasury.
The workflows include LC and guarantee processes (issuance, advising, amendments), compliance checks (sanction screening, AML), OCR/document digitization for BoL, invoices, and packing lists, along with end-to-end validation for platforms such as Surecomp, TradeIX, and Finastra.
ISO 20022 includes formats like pain.001/002, pacs.008, and camt.053, while SWIFT MT/MX covers MT103, MT202, and MT940 messages. NACHA is used for ACH payments, pre-notes, and return codes. SCF scenarios involve invoice approvals, early payment terms, and risk scoring.
Commit-based change modeling helps predict test impacts, while smart test selection targets defects and business risks. It integrates with CI/CD pipelines like Jenkins, GitLab, and Azure DevOps, and provides visual dashboards for test planning and defect heatmaps.
Testimonials
Why Building Blocks
- 40–70% faster regression cycles via AI and automation
- QA prebuilt fintech assets for rapid onboarding
- Tier-1 banks, fintech startups, and global platforms experience.
- First, compliance-led QA aligned with ISO, SOC2, PSD2, FATCA, and Basel III.
Chris Clifford
Managing Partner, BuildingBlocks Consulting
Questions
& Answers
Fintech QA demands deep domain knowledge, compliance alignment (e.g., KYC, AML, PSD2), and real-time validation for financial protocols like ISO 20022 and SWIFT. Testing must ensure regulatory integrity, data accuracy, and seamless integrations with banking systems, ERPs, and credit engines—far beyond generic software QA.
We work with Selenium, Cypress, Playwright for UI automation; Postman, RestAssured, and Karate for API testing; and integrate with CI/CD tools like Jenkins, GitLab, and Azure DevOps. Our AI-led accelerators support self-healing scripts and smart test selection to optimize execution speed and coverage.
Yes. Our teams have experience testing both legacy core banking systems (e.g., Temenos, Finacle, Oracle Flexcube) and modern cloud-native platforms involving APIs, microservices, and blockchain. We tailor our QA approach to each tech stack while ensuring compliance, performance, and integration reliability.
