Our mission...

AuditDog.AI enables enterprises to safeguard AI investments by ensuring the highest standards of safety, reliability, and responsible innovation.

So What is an AI audit?

It is an independent, systematic evaluation of AI systems and governance policies to ensure compliance with legal, regulatory, ethical and organizational standards while verifying that the AI system operation is transparent, fair, secure, and aligned with business objectives.

We assess the entire AI lifecycle, spanning governance, design, development, and monitoring, because continuous oversight is essential to managing risk, building trust and achieving sustainable AI investment returns.

We are guided by fundamental principles to ensure clients achieve robust, responsible AI, whose operation should be:

Safe, robust, reliable
Privacy enhancing
Transparent and explainable

Fair and non-discriminatory
Promote societal and environmental well-being
Accountable

Why work with us...

At AuditDog.AI, we help enterprises unlock the full value of AI through expert auditing, strategy, and engineering guidance. Led by seasoned technology leaders, our team of business consultants, AI, ML, and data science engineers brings decades of experience turning complex innovation into scalable, trustworthy, and high-performing solutions. We partner with organizations to eliminate risk, align AI with business goals, and build a foundation for sustainable competitive advantage.

Who we are...

Bob Allen

Founder / CEO
Bob is a technology leader with over 25 years in computing and semiconductors. As Founder and CEO of AuditDog.AI and Solve for Why, LLC, he helps organizations align business and technology strategy for scalable growth. He founded AuditDog.AI to help enterprises avoid the governance, alignment, and technical gaps that derail AI initiatives. Previously, at Arm Holdings, he led global market development, strategic partnerships, and commercialization efforts across numerous sectors. Bob holds a Bachelor’s degree in Physics from the University of Redlands.

Deep Dhillon

Partner
Deep leads AuditDog.AI’s technical practices, leveraging extensive experience in conceptualizing, architecting, and deploying advanced applications using machine learning, natural language processing, and data science to build smarter businesses and more powerful products. Deep is also the co-founder of Xyonix, where he leads technology development. Deep’s prior experience includes multiple CTO and Chief Scientist roles at a range of venture-funded companies. He has a Master’s degree in Electrical Engineering from the University of Wisconsin-Madison and a Bachelor’s degree in Electrical Engineering from the Illinois Institute of Technology.

Strategic Advisors

Prof. Bill Howe

Technical Advisor
Bill Howe is an Associate Professor in the Information School and Adjunct Associate Professor in the Allen School of Computer Science & Engineering and the Department of Electrical Engineering. Bill is also the co-founding Director of the Center for Responsible AI Systems and Experiences (RAISE). His research interests are in data management, machine learning, and visualization, particularly as applied in the physical and social sciences. His research has been featured in the Economist and Nature News, and he has authored award-winning papers in conferences across data management, machine learning, and visualization. He has a Ph.D. in Computer Science from Portland State University and a Bachelor’s degree in Industrial & Systems Engineering from Georgia Tech.

image of tech solutions demonstration (for a hr tech)

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