#168 Engineering Trust in the Age of Agentic AI
From XTraw AI: Machine Learning and AI Applications by Venkata"Raghu Banda"
March 5, 2026 · 53 min
About this episode
The episode discusses building trustworthy and accountable AI systems as they transition from prototypes to production-ready solutions in enterprises.
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…
People in this episode
Host: Raghu Banda
Guest: Ran Aroussi
Topics covered
- trust in AI
- agentic AI
- enterprise AI systems
- transparency
- accountability
- observability
- human aligned system design
Keywords
- AI systems
- engineering trust
- production ready
- governance frameworks
- open architectures
- enterprise workflows
- AI transparency
Mentioned in this episode
Organizations: MUXI
Products: yfinance
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