Summary

“Ethical and compliant AI adoption isn’t a barrier to innovation. It makes your business stronger and more resilient.”

In this Let’s Talk Risk! conversation, host Naveen Agarwal reconnects with longtime friend and Silicon Valley tech leader Ajay Dankar, Co-Founder of Trussed AI. Ajay shares insights from his career at Google, AWS, Adobe, and PayPal, and explains how generative and agentic AI are reshaping industries from healthcare to finance.

Together, they explore the promise and uncertainty of AI adoption, and how regulations like the EU AI Act and America’s new AI Action Plan will shape compliance, why trust and governance are central to enterprise deployment, and what skills QA and RA professionals need to thrive in an AI-driven world. Ajay emphasizes that ethical and proactive AI governance isn’t a barrier to innovation, rather a pathway to building better, more resilient businesses.

Listen to the full 30-minute podcast or jump to a section of interest listed below.

Chapters

* 00:26 – Introducing Ajay Dankar

* 01:12 – How AI is Shaping Everything We Do

* 03:32 – Generative vs. Agentic AI

* 06:02 – Regulations and the U.S. AI Action Plan

* 10:13 – What Senior Executives are Asking

* 16:17– Opportunities for QA/RA Professionals

* 23:32 – Announcements, Key Takeaways and Closing Thoughts

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Suggested links:

LTR: Kevin Schawinski on Building Trustworthy AI and MedTech Readiness.

LTR: Contrasting US and EU approaches to AI regulation.

ACHIEVE: PMS Workshop.

Key Takeaways

* AI is fundamentally reshaping how work gets done across industries.

* Generative AI creates new content, while agentic AI aims for autonomous decision-making.

* The U.S. AI Action Plan offers a blueprint for compliance, innovation, and governance.

* Regulations will require proactive integration of AI governance into development pipelines.

* Trust is a central challenge. Enterprises must ensure compliance, transparency, and reliability.

* Most organizations have moved past AI pilots and now face execution and scaling challenges.

* QA and RA professionals have a unique opportunity to lead enterprise-level AI governance.

* Skills in AI literacy and critical thinking are essential for future career growth.

* Compliance is no longer a “checkpoint”; it must be embedded into workflows from the start.

* Ethical, well-governed AI adoption strengthens business resilience and customer trust.

Keywords

AI governance, generative AI, agentic AI, compliance, trust, regulatory landscape, medtech, enterprise adoption, ethical AI, proactive governance

About Ajay Dankar

Ajay Dankar is a seasoned product and engineering leader with deep expertise in cloud infrastructure, enterprise-grade platforms, and AI-driven innovation. Currently the Co-Founder of Trussed AI, he is focused on making generative and agentic AI trusted and enterprise-ready. Ajay has held senior leadership roles at Google, Amazon Web Services, Adobe, Aviatrix, and PayPal, where he drove large-scale product strategies, cloud transformations, and SaaS platform development.

An entrepreneur and innovator at heart, Ajay has co-founded multiple startups, authored four U.S. patents in multi-factor authentication, and successfully built Finsphere—a fintech company acquired by Visa. With a proven track record of leading multi-geo teams, mentoring talent, and aligning technology with customer needs, he brings a rare blend of business acumen, technical depth, and customer empathy. Ajay holds degrees in Electrical Engineering from the Indian Institute of Technology, Delhi, and the University of Florida.

Let’s Talk Risk! with Dr. Naveen Agarwal is a weekly live audio event on LinkedIn, where we talk about risk management related topics in a casual, informal way. Join us at 11:00 am EST every Friday on LinkedIn.

Disclaimer

Information and insights presented in this podcast are for educational purposes only, and not as legal advice. Views expressed by all speakers are their own and do not reflect those of their respective organizations.

Parts of this article were created using AI-generated content, which was subsequently reviewed, edited, and fact-checked by the author to ensure accuracy and alignment with our standards.

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