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You're solving the wrong problem
Kimberly AndrikaitisOct. 26
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Beyond Coding: AI in the Rest of the Agile Software Lifecycle
George PaciOct. 26
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Operating Models Revealed
Stephanie GrootOct. 26
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Responsible AI in Action for Agile Teams
Dr. Kadidra HurstOct. 26
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Business Value Estimation
Chris SimsOct. 26
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Bridging the "Blind Spot Gap" in AI-Generated Agile Backlogs
Manjit SinghOct. 26
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Lunch
Oct. 26
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The Product Operating Model Walks Into a Sprint
Fadi StephanOct. 26
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So you think this is your last Agile Conference... let's talk
David FogelOct. 26
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Retrospectives That Drive Real Continuous Improvement
Richard ChengOct. 26
Sanjiv Augustine is the Founder and CEO of LitheSpeed, LLC and the Agile Leadership Academy. He is an entrepreneur, internationally recognized expert in Product Operating Models, Value Management, and AI-native enterprise transformation, as well as an author, keynote speaker, executive advisor, management consultant, and trainer.
With more than 30 years of experience, Sanjiv has helped Fortune 500 companies, government agencies, and mission-driven organizations modernize the way they deliver business value. He has served as a trusted advisor to executives and senior leaders at organizations including AccuWeather, American Chemical Society, Capital One, The Capital Group, CNBC, Comcast, Freddie Mac, Fannie Mae, the Federal Home Loan Banks Office of Finance, the Federal Reserve Board of Governors, General Dynamics, Hanover Insurance, HCA Healthcare, Huntington Bank, The Motley Fool, National Geographic, Nationwide Insurance, Royal Bank of Canada, Samsung, Secretary of the Air Force, Tate Global, and Walmart.
Sanjiv is the creator of the Agile VMO® framework, which helps organizations shift governance from project oversight to value leadership, and has been at the forefront of enterprise agility for more than two decades. Today, his work focuses on helping organizations evolve from traditional project-centric operating models to product-centric and AI-native enterprises through modern governance, adaptive leadership, and responsible AI adoption.
He is the host of the Leadership in Flux podcast, and author of From PMO to VMO: Managing for Value Delivery, Managing Agile Projects, and Scaling Agile: A Lean JumpStart. He has also authored numerous influential publications, including A Manager’s Guide to the Product Operating Model, Four Steps to AI-Native Transformation, and Transformational Leadership for Business Agility. Through his writing, speaking, and advisory work, Sanjiv continues to shape the future of enterprise leadership, Product Operating Models, and AI-enabled value delivery.
AI is reshaping how organizations create value, but leaders must actively manage the new risks it introduces. This session explores how leaders can mindfully drive the shift to AI-native organizations while embedding responsible AI into strategy, governance, and execution. Learn how to balance speed with accountability, align AI initiatives to outcomes, and evolve operating models to enable continuous learning, ethical decision-making, and sustainable value creation.
Longer Intro:
AI is changing far more than technology. It is transforming how organizations make decisions, govern work, and create value. Yet many leaders are trying to adopt AI without evolving the operating models and governance needed to use it responsibly.
This session presents a practical leadership framework for building AI-native organizations while embedding responsible AI into strategy, governance, and execution. Participants will explore three leadership shifts:
From speed to responsible speed by balancing rapid experimentation with trust, accountability, and risk management.
From project governance to value governance through modern Value Management Offices that oversee outcomes, AI adoption, and continuous learning.
From Agile transformation to AI-native leadership by redesigning roles, operating models, and decision-making around AI-enabled value creation.
Drawing on real-world enterprise experience, the session includes practical examples, guided reflection, and an actionable roadmap that leaders can apply immediately to accelerate AI adoption while strengthening governance, ethics, and business outcomes.