How Do You Test AI That Talks Back?

How do you test AI that doesn't always behave the same way?As AI-powered applications become more conversational and customer-facing, traditional software testing approaches are no longer enough. Engineering teams must now validate systems that generate non-deterministic responses, learn from interactions, and directly influence customer experiences.In the first episode of AI-First Engineering, Deepanwita Kar, Sr. Director, Partnerships & Alliances at TestGrid, speaks with Chandrashekhar Patil, VP QA at redBus (MakeMyTrip), about the future of AI testing and quality engineering.Together, they explore:Why testing AI systems is fundamentally different from testing traditional softwareThe challenges of validating conversational AI and customer-facing AI applicationsHow engineering teams can build confidence in AI-driven systemsThe role of trust, user experience, and human behavior in AI validationPractical advice for introducing AI validation into existing testing strategiesWhat quality engineering could look like over the next five years Whether you're an engineering leader, QA professional, AI practitioner, or technology executive, this episode offers valuable insights into building trustworthy AI-powered software.Connect with TestGrid🌐 Website: https://testgrid.io💼 LinkedIn: https://www.linkedin.com/company/testgridio