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Most firms have an AI strategy. Few have the culture to execute it.
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The gap McKinsey identified in their State of Organizations 2026 report
The bottleneck is not technology. It is leadership readiness, organizational culture, and the people infrastructure around AI. That is what this program addresses.
The AI Readiness Framework
Most programs treat these as four equal topics. They are not. Culture is what determines whether the other three compound or stall.
An iterative, stakeholder-first way of working
Culture is design thinking in practice: nimble enough to adapt as AI evolves, disciplined enough to keep delivery at the center. It is the organizational condition that determines whether foresight leads to action, whether strategy survives contact with reality, and whether execution compounds over time.
Most AI programs treat culture as a footnote. This one treats it as the whole point.
Anticipating the Next Wave
Use scenario planning and trend analysis to map second-order effects of AI adoption. Connect emerging signals to strategic choices you need to make today.
Design-Driven AI Innovation
Move beyond "AI for everything" to identify high-value opportunities aligned with real customer and business needs. Leaders practice reframing complex challenges and rapidly prototyping AI-enhanced solutions.
From Prototype to Impact
Master lean experimentation. Build testable AI solutions without massive upfront resources. Launch responsibly with clear metrics and measurable outcomes.
Every module includes real case decisions from leading companies + tools and frameworks participants can use immediately.
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Who Should Attend
Program Tracks
Strategy development and opportunity identification
Culture change and execution systems
Competitive positioning and futures thinking
Program Faculty
Learn from practitioners who operate at the intersection of executive education, venture capital, and enterprise AI deployment.
Inly Program Director
Serial entrepreneur and AI practitioner; has taught applied AI for 10+ years and supported AI deployments for global enterprises.
Stanford d.school Exec Ed Leader
Designs adaptive learning programs for Fortune 500 organizations navigating complexity and disruption.
Founding Partner, Y Plus Ventures
Silicon Valley seasoned investor focused on AI innovation; has overseen $50B+ in technology deals across the globe.
Delivered by practitioners bridging Stanford innovation.
Our Approach
You'll move, debate, build, and decide. No lecture halls. No passive learning.
Leaders physically position themselves on a live matrix mapping competitive, technological, and regulatory forces shaping AI in their industry. Defend perspectives. Shift positions through facilitated debate.
Tackle real AI leadership challenges from companies like yours. Make high-stakes decisions in groups under time pressure. Review what actually happened and analyze why outcomes succeeded or failed.
Prototype AI-enhanced solutions through rapid iteration and lightweight user testing. Experience how teams can validate direction quickly and responsibly, without massive upfront investment.
Program Principles
Demystify key AI concepts including agents, model capabilities, evaluation, deployment trade-offs through simulation-based exercises. No engineering degree required. Build durable intuition to lead credible strategic conversations under uncertainty.
Design thinking is an empirically proven innovation method for redefining best practices, precisely the challenge organizations face in the AI era. Participants learn through experience: empathetic problem-framing, context-aware originality, and rapid iteration.
AI changes baseline economics, risk postures, and operating models including security assumptions, software delivery costs, coordination costs. We provide a structured forum to explore second-order implications and convert them into actionable leadership choices.
Executives build working prototypes using accessible AI tools, so problem owners understand how to drive solution formation, not just technical teams. Prototyping is anchored in rigorous problem definition and user feedback loops.
Custom Programs
Designed as a self-contained executive workshop. Participants leave with shared language, decision tools, and workshop-created artifacts they can apply immediately, regardless of your organization's current AI maturity.
What your team leaves with
We'll be in touch within 1–2 business days.
Ready to build next?
Once your leadership team has the strategic clarity and shared language this program delivers, the next step is implementation. inly.build designs and deploys bespoke AI integration and automation systems, built to hand off to your team. No black boxes. No vendor dependency. Systems your people can own and run.
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