The Quality Beat

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.

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.

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

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.

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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.

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.

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.

At scale, quality is no longer just about testing. It’s about trust, governance, and culture. When things slip, defect management turns political, engineering becomes firefighting, and release decisions become negotiation. We talk about what quality management really looks like inside complex, large programs — and why prevention beats heroics every time. If you work in large-scale delivery, enterprise IT, or quality leadership, this one will resonate.

In banking, financial services, and insurance, software failures don’t just break systems — they break trust. A bug isn’t just a bug; it’s a payment outage, a regulatory incident, or tomorrow’s headline.

In this episode of The Quality Beat, Charu Kapil and Sachin Ahuja bring deep BFSI experience from years of working on real banking and payments platforms to explore why BFSI failures still happen despite heavy testing investments, what “good enough testing” really means when trust, money, and compliance are on the line, and why “green dashboards” can be dangerous.

Production is not beautiful. Production is messy. 

In the latest episode of The Quality Beat, Christian Mastnak, QA Director at Nagarro, challenges common assumptions about end-to-end testing, from why “green” test suites still fail in production to why teams must stop testing a fantasy and start focusing on real user behaviour, risk, and business impact. 

Tune in!