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    Finance

    AI Agents that fully automate
    QA for banks

    The world's leading banks test with fore ai

    Why automating testing with fore ai?

    Test any application

    No code test creation

    AI powered maintenance

    How fore ai is helping
    banks and financial service institutions

    • Banks run dozens of web applications, from onboarding to trading portals. fore ai automates testing across all of them, keeping releases fast and reliable without manual QA.

    • Legacy and modern applications often share data but require different roles. fore ai agents handle secure logins, session reuse, and permission-based testing for every user type.

    • Frequent compliance and UI updates often break traditional scripts. fore ai self-heals tests across both legacy front-ends and new digital layers, keeping coverage stable across generations of technology.

    • Customer journeys span multiple systems such as payments, CRM, and risk engines. fore ai validates complete end-to-end flows across all systems to ensure data integrity and smooth execution.

    Trusted to deliver for any use case

    Explore live test cases and see how QA agents validate real user journeys end-to-end

    The hidden cost of testing in banking

    Banks lose millions each day to software defects and outdated QA practices that can't keep up with complex, regulated systems.

    Systems evolved, QA didn't

    Systems evolved, QA didn't

    Banks operate hundreds of web and legacy systems. Complexity keeps rising while QA capacity stays flat. (McKinsey: +68% more applications per $1B revenue since 2013)

    Compliance never sleeps

    Compliance never sleeps

    Banks face an average of ~234 regulatory updates per day globally — constant pressure to revalidate critical workflows. (Thomson Reuters Regulatory Intelligence, 2022)

    Maintenance kills velocity

    Maintenance kills velocity

    Most QA time is spent fixing brittle tests instead of validating new features. Self-healing automation frees teams from endless maintenance loops. (Multiple industry studies)

    Build with a security mindset

    Compliance Certification

    fore ai is enterprise-ready, supporting Fortune 100 businesses with enterprise-grade security.

    End-to-end encryption

    Encrypts all the sensitive data that is at-rest and in-transit using algorithms including AES-256 and RSA 2048 bit.

    Third-Party Audits

    fore ai conducts independent third-party audits and penetration testing to ensure the integrity and security of our systems.

    Auditable Logs

    Thorough and auditable logs that capture key activities within the system.

    Secured Authentication

    Your credentials are encrypted within AWS Identity and Management services.

    Data Retention & Removal

    Data is stored in an encrypted state, and backed up in line with our internal data retention policies.

    Seamlessly fits into your DevOps ecosystem

    Platform

    Eliminate QA bottlenecks and ship 10x faster with fore ai

    Request Demo

    FAQs

    AI-powered QA automation platforms manage financial data with strict encryption, anonymization, and privacy standards. During software testing, agentic QA testing systems simulate transactions and workflows without exposing real customer data. This ensures compliance with banking and finance regulations while maintaining high accuracy and full data protection.

    Yes. Modern QA automation and agentic testing tools comply with GDPR and SOC 2 standards. Financial institutions can run software testing in secure environments—on-premises or private cloud—to maintain full control over data. This ensures automated QA processes meet industry-grade security and compliance benchmarks.

    fore ai’s agentic QA automation intelligently maps complex financial workflows across systems. It automates end-to-end processes such as approvals, settlements, and data reconciliations, ensuring accuracy and reliability in every test cycle. This approach reduces manual QA testing effort while improving visibility across critical transaction paths.

    Yes. AI-powered QA testing can verify financial calculations in real time—covering interest rates, fees, and transaction totals. These automated tests compare expected and actual outputs, quickly spotting inconsistencies. As a result, QA teams maintain confidence in data accuracy and compliance throughout software testing cycles.

    fore ai’s agentic testing engine adapts automatically when UI components or business logic change. This self-healing capability keeps automated software testing stable during rapid product updates. Teams can focus on new features while QA automation maintains coverage and reduces maintenance costs.

    Absolutely. AI-driven QA automation supports end-to-end testing for both web and mobile banking applications. Tests are executed across browsers, devices, and operating systems to ensure consistent performance and reliability. This unified QA testing approach ensures seamless user experiences across digital channels.

    AI-generated QA tests often surpass manual scripting in consistency and speed. Agentic QA automation systems continuously learn from test results to enhance coverage and reliability. By combining AI precision with human insight, software testing becomes faster, smarter, and more dependable.

    Deployment typically takes only a few days to a few weeks, depending on integrations. Teams often see measurable QA improvements—shorter test cycles, reduced bugs, and faster releases—within the first month. fore ai’s agentic testing approach delivers scalable, autonomous software testing from day one.