The Alignment Gap: Why AI Fails Without Human-Ready Decision Systems
- Mark Miller
- Jun 26
- 2 min read
Deepika Chopra is a systems builder and strategic operator with nearly two decades of experience leading enterprise-scale AI, digital transformation, and decision systems across global financial and insurance institutions.
Her work focuses on redesigning how teams align, decide, and act when both people and intelligent systems are at the table.
Deepika's session, "The Alignment Gap: Why AI Fails Without Human-Ready Decision Systems", will be streamed globally September 16-17, 2025 at the Artificial UnIntelligence Conference.
About the Session: The Alignment Gap
Agentic AI systems can now observe, reason, and act. They simulate decisions, surface priorities, and generate next-best actions. But there’s one thing they still can’t do: “Get humans to agree, trust and move.”
This session explores The Alignment Gap - the space between AI-generated insight and real-world execution. It’s where most AI deployments fail: not because the model is wrong, but because the humans around it aren’t ready.
Drawing on her experience leading AI transformation inside Fortune 100 enterprises and building AlphaU AI, Deepika Chopra shares real-world stories and practical tools for detecting friction, measuring trust, and designing for decision clarity, especially when AI is in the loop.
Scenarios Covered
What happens when agentic AI outputs meet human hesitation
Frameworks for closing the alignment gap before rollout
How to make trust, readiness, and role clarity measurable
Real-world stories from investment and product decisioning
Designing workflows that enable the “AI + human handshake”
About Deepika Chopra
Deepika Chopra is a systems builder and strategic operator with nearly two decades of experience leading enterprise-scale AI, digital transformation, and decision systems across global financial and insurance institutions. She is the CEO & Founder of AlphaU AI, a decision intelligence platform that helps organizations close the gap between AI-generated insights and real-world action.
As former SVP and Head of AI & Digital Transformation at top-tier organizations such as AIG, Citi, and Siemens, Deepika led high-stakes transformations across portfolios exceeding $100B, delivering over $250M in enterprise impact. She has orchestrated global teams, integrated AI into M&A strategy, and operationalized LLMs, Generative AI, and predictive analytics in secure, cloud-native environments. She is the creator of the ACT Framework, the Human-AI Alignment Score (HAAS), and the ACT+M diagnostic, proprietary tools used to measure trust, readiness, and alignment in AI-driven organizations.
Her work focuses on redesigning how teams align, decide, and act when both people and intelligent systems are at the table. She also writes Signals & Simulations, a series exploring how AI is transforming how leaders make decisions in complex, high-velocity environments.
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