AI is no longer just about models, prompts, or experimentation. It is becoming infrastructure.

In this episode, I sit down with Shashank Tiwari, CEO and Founder, to unpack one of the biggest shifts happening right now: AI is rapidly commoditizing, and the real value is moving up the stack.

We explore how enterprises are moving from hype to real ROI, why AI agents introduce new risks, and how governance, control, and reliability are becoming critical in the age of autonomous systems.

This conversation goes beyond the noise to focus on what actually matters for builders, operators, and investors.

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👤 About the Guest

Shashank Tiwari is the CEO and Founder of Uno.ai, a Silicon Valley-based company focused on AI-driven automation in governance, risk, and compliance (GRC).

With deep expertise in enterprise systems, AI agents, and risk management, Shashank works closely with large organizations in highly regulated industries such as banking, healthcare, and critical infrastructure.

His work focuses on automating human-centric tasks while maintaining accuracy, reliability, and control.

https://www.linkedin.com/in/tshanky/

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🔑 Key Takeaways

• AI models are rapidly becoming commoditized infrastructure

• The real differentiation is shifting to applications, workflows, and execution

• AI agents introduce new categories of risk and governance challenges

• Enterprise AI adoption is moving from experimentation to ROI-driven use cases

• Automation must balance productivity with reliability and control

• The future of AI is solution-centric, not model-centric

• Coding is getting faster, but building products remains complex

• AI may increase productivity, but it also amplifies risks at scale

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📚 What You’ll Learn

• Why LLMs are becoming the “operating system” of AI

• Where real value is created in the AI stack

• How enterprises are measuring AI ROI today

• Why AI agents create new threat vectors

• The challenges of AI governance and compliance

• Why “vibe coding” does not replace product thinking

• How organizations should think about control in autonomous systems

• What the future of AI applications looks like beyond hype

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⏱️ Episode Highlights

00:00 Introduction and guest welcome

02:30 From generative AI to AI agents: what changed

05:00 Why AI is becoming commoditized

07:00 The myth and reality of AGI

10:30 AI and new risk landscapes

14:00 AI as a new threat vector in enterprises

18:00 Governance, compliance, and control challenges

22:00 Shadow AI and visibility gaps

26:00 Why you cannot “opt out” of AI

29:00 From hype to ROI: how enterprises are thinking

34:00 AI productivity vs real business impact

37:00 The reality of AI coding and “vibe coding”

43:00 Why building products is still hard

48:00 AI, creativity, and the future of development

51:00 What’s next: automation of human-centric work

54:00 Elevating GRC beyond processes

56:00 Closing thoughts

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🔗 Resources Mentioned

• Uno.ai

• NIST AI Risk Management Framework

• ISO 42001 (AI Management Systems)