#168 Engineering Trust in the Age of Agentic AI

#168 Engineering Trust in the Age of Agentic AI

Author: Venkata"Raghu Banda" March 5, 2026 Duration: 52:48

As AI systems evolve from experimental prototypes to autonomous agents operating inside real enterprise environments, a critical question emerges: How do we ensure these systems remain transparent, accountable, and trustworthy?

In this episode of XTraw AI, host Raghu Banda sits down with Ran Aroussi, founder of MUXI and creator of widely adopted open source tools like yfinance, to explore what it truly takes to build production ready agentic AI systems. With over 25 years of engineering experience, Ran shares a pragmatic perspective on why the next frontier of AI is not just capability but observability, governance, and human aligned system design.

Together, they unpack the shift enterprises must make as AI moves from proof of concepts to dependable systems embedded in critical business workflows.

In this episode you will learn:

• Why the future of AI will be defined by trust, transparency, and observability rather than model capability alone

• The key challenges enterprises face when moving from AI experimentation to production ready agentic systems

• How engineering discipline, governance frameworks, and open architectures help build AI systems organizations can truly rely on

Tune in to discover how leaders and engineers can design AI systems that are not only powerful but responsible, controllable, and enterprise ready.

You can reach @ Ran Aroussi

My LinkedIn @ Raghu BandaOur Website @ XTraw AI


Hosted by Venkata "Raghu" Banda, XTraw AI: Machine Learning and AI Applications is a regular conversation for anyone curious about how these technologies are reshaping our world. Instead of abstract theory, each episode focuses on practical uses and the tangible impact of artificial intelligence. You'll hear discussions that unpack how machine learning models are built and deployed in real scenarios, from everyday tools to complex industry systems. Raghu brings a grounded perspective to these topics, releasing new conversations once or twice a month. This podcast serves as a reliable source for understanding the trajectory of AI, cutting through the hype to examine what these applications actually do and where they might lead us next. The tone is exploratory and thoughtful, designed for both technical professionals and engaged enthusiasts who want to stay informed. By tuning in, you gain insight into the mechanisms behind intelligent systems and the considerations that guide their development. It’s about connecting the dots between algorithmic concepts and the solutions you encounter, all within a manageable, ongoing format that deepens your comprehension with each installment.
Author: Language: English Episodes: 50

XTraw AI: Machine Learning and AI Applications
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