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The Quality Beat: Daily Summaries Delivered
by Nagarro
The Quality Beat is a podcast for tech leaders, engineers, and quality minds who care about building better software—from strategy to delivery. In each episode, we tune into real conversations around what drives quality at scale: test efficiency, AI in QA, accessibility, SAP testing, end-to-end engineering, and everything in between. Hosted by Nagarro and joined by voices across the industry, we go deep on what drives modern software quality without losing the heartbeat of what makes teams and tech work together. Because quality isn’t static. It lives, breathes, and keeps evolving.
Latest Episodes
The most recent episodes — sign up to get AI-powered summaries of each one.
- Yesterday22 min
When fast delivery creates slow experiences: The performance gap
Faster software delivery doesn’t always mean a faster user experience. As AI accelerates development, performance problems can build up quietly, surfacing only when usage grows. This episode explores how to close that gap: build performance into delivery from day one, use AI to uncover bottlenecks, and measure what matters to users. Guests: Anamika Mukhopadhyay, Associate Director, Nagarro Ashish Verma, Associate Principal Engineer, Nagarro Hosted by Gurpreet Bhadesh
- 3 weeks ago41 min
Why Agentic AI can fail at scale, and how to fix it
As enterprises give AI agents more autonomy, access, and responsibility, the risks of scaling them grow too. Thomas Steirer, CTO at Nagarro, explains why governance, control planes, and human oversight must be designed before agentic AI becomes business-critical. From unintended actions to AI governance at scale, this episode offers practical perspectives on building agentic systems that can grow with confidence. Explore more about the topic: https://www.nagarro.com/en/services/accelerated-quality-and-test-engineering-trica-ai-agent-governance
- Sep 9, 202625 min
Choosing the right AI model across the STLC
The “best” AI model is not always the right one. For QA teams, the better question is: how much intelligence does this testing task actually require? In this episode, Neeraj Jain and Nikita Mittal unpack a practical 3-tier framework for AI model selection across the Software Testing Life Cycle (STLC), and discuss the factors teams should weigh before choosing: complexity, quality, latency, cost, and security/compliance. Because smarter AI adoption starts with choosing the right model for the right job.
- Aug 17, 202621 min
Security flaws hidden in automation frameworks
What if the real security risk is hiding inside your automation framework? In this episode of The Quality Beat, Manisha Mittal and Birbal Tahim, QA experts at Nagarro, unpack how test automation can expose sensitive data, hard-coded credentials, and unexpected attack surfaces — and why security needs to be part of the quality conversation from day one. Host: Gurpreet Kaur Bhadesh
- Jul 2, 202628 min
Multi-agent Testing: From automation to orchestration
What if automated testing could move from “run everything” to “run what actually matters”? This episode explores MACTX, a framework-agnostic, multi-agent testing approach designed to make test execution smarter, more targeted, and risk-aware. Learn how decision intelligence can help teams reduce unnecessary test runs, speed up CI/CD pipelines, lower infrastructure costs, and release with greater confidence. Guests: Manisha Mittal, Global Head of Business Line @ Nagarro Apruva Singh, Principal Consultant @Nagarro Host: Gurpreet Bhadesh
- Jun 1, 202624 min
Metrics that matter for Gen AI evaluation
How do you evaluate generative AI when there isn’t just one “right” answer? In this episode of The Quality Beat, we explore why traditional metrics fall short for GenAI, and how teams can define what “good” looks like in context, from factual consistency and fairness to safety, business impact, and trust. Host Gurpreet Bhadesh is joined by Nagarro experts Anamika Mukhopadhyay, Global Practice Head – Emerging and Special Tech Testing, and Deepshikha, Global Practice Head – AI in Testing.
- May 4, 202634 min
From QA metrics to release confidence
In this episode of The Quality Beat, Gurpreet Bhadesh speaks with Chris Mastnak about a challenge many QA teams know well: how to communicate testing results in a way that actually supports release decisions. Instead of relying on pass rates, test counts, and long defect lists, the conversation explores how QA can translate metrics into meaningful insights about business risk, coverage, and confidence. Host: Gurpreeet Bhadesh Guest: Christian Mastnak, QA Director at Nagarro
- Apr 1, 202634 min
Trusting AI Agents
AI agents can sound confident, act autonomously, and still go wrong in ways traditional testing will never catch. In this episode, we explore how teams can build trust in autonomous AI agents. From silent failures and hallucinations to prompt injection, bias, and multi-agent handoff errors, they reveal why testing AI requires a whole new mindset. Tune in for practical insights into what it really takes to make AI systems safe, reliable, and ready for the real world. Guest: Deepshikha, Global Practice Head - AI in Testing, Nagarro Host: Gurpreet Bhadesh
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About The Quality Beat
The Quality Beat is a podcast for tech leaders, engineers, and quality minds who care about building better software—from strategy to delivery. In each episode, we tune into real conversations around what drives quality at scale: test efficiency, AI in QA, accessibility, SAP testing, end-to-end engineering, and everything in between. Hosted by Nagarro and joined by voices across the industry, we go deep on what drives modern software quality without losing the heartbeat of what makes teams and tech work together. Because quality isn’t static. It lives, breathes, and keeps evolving.
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Frequently Asked Questions
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