Quellit.ai is an AI-powered User Acceptance Testing (UAT) platform designed to streamline the testing process for fintech product teams. By automating test case generation and execution, Quellit.ai aims to reduce UAT cycles by up to 80%, enabling teams to identify and resolve issues more efficiently.
Key Features
- Test Case Auto-Generation: Automatically creates detailed test cases, allowing teams to share identified issues, test edge cases, generate tickets, and expedite product releases with confidence.
- Automated Test Triggers: Integrates with tools like Linear and Jira to execute tests automatically upon changes in issue or ticket status, ensuring timely validation of updates.
- Security First: Pursues SOC 2 Type 2 certification to uphold enterprise-grade security and compliance standards, safeguarding sensitive data throughout the testing process.
- Collaboration Tools: Facilitates team collaboration by enabling tagging of team members, obtaining launch approvals, and providing audit-ready documentation with video and screenshot evidence.
Who is it for?
Quellit.ai is tailored for fintech product teams, including founders, product managers, designers, and compliance officers, who seek to enhance their UAT processes. Its features are particularly beneficial for teams aiming to reduce testing cycles, improve product quality, and ensure compliance with industry standards.
Final Thoughts
Quellit.ai offers a comprehensive suite of tools designed to automate and optimize the UAT process for fintech product teams. By leveraging AI to generate and execute test cases, it addresses common challenges in manual testing, such as time constraints and human error. Its focus on security and compliance further enhances its appeal to organizations prioritizing data protection and regulatory adherence. For fintech companies looking to streamline their testing workflows and accelerate product delivery, Quellit.ai presents a compelling solution.
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