AI-powered development is transforming how software gets built, and now it’s reshaping how quality is delivered. As AI coding assistants become a standard part of modern development workflows, teams need new ways to ensure the tests, validations, and quality processes supporting those applications can keep pace.

Without the right controls, AI-generated code and test assets can introduce coverage gaps, inconsistent validation, and increased effort for QA teams. Organizations need a way to leverage AI productivity gains while maintaining confidence, governance, and quality throughout the software delivery lifecycle.

In this webinar, Provar will introduce Provar MCP (Model Context Protocol), the open-source, AI-assisted quality layer built into the Provar DX CLI. We’ll explore how AI clients such as Claude, Cursor, and GitHub Copilot can inspect, generate, validate, execute, and troubleshoot Provar tests using natural language. Through a live demonstration, we’ll show how teams can identify test coverage gaps, generate test cases and page objects, validate test hierarchies, perform root cause analysis, and trigger test execution directly from their AI client—helping accelerate delivery while maintaining confidence in quality.

Expert Guidance: Provar experts can help you find the right test automation solution tailored to your needs.

Seamless Integration: Learn how Provar works effortlessly with Salesforce and your DevOps ecosystem.

Real ROI: Discover how Provar customers achieve faster releases, improved test coverage, and reduced maintenance.