Sponsorship Opportunities

This October in Austin, the Chief AI Officer Exchange Fall 2025 gives AI solution providers direct access to 60+ senior executives from $1bn+ enterprises. Every delegate is pre-qualified with active AI investment priorities, ensuring your meetings are with true budget holders.

Sponsorship guarantees up to 15 one-to-one meetings with decision-makers from organizations like AstraZeneca, U.S. Bank, NBCUniversal, Takeda, Walgreens, and Airbnb, plus opportunities to showcase your expertise through keynotes, roundtables, and think tanks.

Download the prospectus to learn more about the one-to-one meetings, our delegate qualification process, and the tailored sponsorship packages available.

Explore the attendee list from our sold-out Spring 2025 Chief AI Officer Exchange to see the calibre of senior AI executives who joined us. This invite-only forum brought together 70+ C-level and VP-level leaders from billion-dollar enterprises.

The Post-Event Report captures the standout insights, executive takeaways, and high-impact sessions from the sold-out Spring edition of the Chief AI Officer Exchange, held in Fort Lauderdale in May 2025. Designed for senior AI and data leaders, this report offers a practical look at how organizations are scaling AI responsibly, aligning enterprise strategy with intelligent automation, and preparing for the next era of innovation.

Download the report to explore:

• From Assistance to Agency: How enterprises evolve from GenAI pilots to agentic AI systems collaborating across workflows and delivering measurable ROI.
• Leadership in the Age of AI: Insights into what modern AI leadership requires, from cross-functional collaboration to ethical foresight and strategic influence in the C-suite.
• Building Trust & Adoption: Real examples from Mastercard, Citi, AstraZeneca, and more on balancing innovation with risk, regulation, and human impact.
• Blueprints from AI Pioneers: Discover how companies like Intel, MetLife, and IBM are embedding AI into the core of their operations, and what’s needed to scale sustainably.
  

Explore how our two sold-out Exchange events—the Chief AI Officer Exchange Spring Edition and the Chief Transformation Officer Exchange Spring Edition—are setting a new benchmark for C-level engagement, strategic alignment, and measurable ROI.

This detailed case study showcases the power of the Exchange format through the lens of over 130 high-value one-to-one meetings, 100% sponsor satisfaction, and contributions from senior leaders at organizations such as U.S. Bank, Walgreens, AstraZeneca, GM, and Citi.

Download this case study to explore:

• The Power of Personalization: Discover how our one-to-one meeting model connects decision-makers and solution providers with real procurement needs, resulting in faster, more targeted outcomes.
• What Sets the Exchange Apart: Understand why our closed-door, invite-only format leads to deeper conversations, more qualified leads, and higher satisfaction for both sponsors and delegates.
• Strategic Outcomes Delivered: See how sponsors and attendees left with actionable strategies, pipeline growth, and trusted partnerships that go beyond the event.
  

Explore how Chief AI Officers navigate the shift from experimentation to enterprise-wide AI strategy, balancing innovation with governance, trust with scale, and automation with human potential.

This practical guide is built for CAIOs leading the next era of intelligent transformation. It dives deep into the most impactful tools and frameworks, Agentic AI, decision intelligence, scalable MLOps, and low-code ecosystems. It shows how to align them with executive priorities and enterprise outcomes.

Download to explore:

• Strategic Technologies for 2025: From generative AI and autonomous agents to process orchestration and blockchain, see what’s powering end-to-end value creation at scale.
• AI Deployment Methodologies: Learn how agile governance, prompt engineering, and continuous learning loops are redefining enterprise AI implementation.
• Leadership in an Agentic Era: Discover how trust, transparency, and education are becoming core levers for adoption, requiring new collaboration models between AI teams and the business.