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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 software
- The challenges of validating conversational AI and customer-facing AI applications
- How engineering teams can build confidence in AI-driven systems
- The role of trust, user experience, and human behavior in AI validation
- Practical advice for introducing AI validation into existing testing strategies
- What 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.
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