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

#168 Engineering Trust in the Age of Agentic AI