The traditional model of stacking agency retainers and headcount on top of every revenue function is quietly breaking. A new model, built around autonomous AI agents that run sales, marketing, and PR on their own, is emerging in its place. The leaders who see it early are the ones building unfair advantages.

This Executive Boardroom session is an intimate, high-level conversation with Rick Elmore. Rick is a former NFL athlete turned founder of Simply Noted, a $10M+ bootstrapped company built on engineering, robotics, and an obsession with what machines can do better than people. He is now turning that operating playbook into a new venture, AI Launch, with his technical lead Francisco Cervera, who will join him for the conversation.

Together, Rick & Francisco will walk through:

• The $250K shift: which agency and contractor functions can be replaced by autonomous agents, and which still need a human in the loop
• The four pillars of an AI-native revenue stack: sales prospecting and pipeline, advertising creative and spend optimization, content and audience strategy, and earned-media monitoring
• What changes when agents work continuously: how teams restructure, where leverage compounds, and where the failure modes hide
• The operator’s view: how Rick actually decides what to automate next, what to keep human, and how to know when an agent is ready to ship

Boardroom seats are limited to senior leaders by invitation. Bring the questions you would only ask peers.

Rick Elmore | CEO & Founder 

Rick is a former NFL athlete turned multi-seven-figure entrepreneur. As the founder of Simply Noted and FullStackCloser, he has built a $10M+ bootstrapped operation at the intersection of engineering, robotics, and revenue systems. A 40 Under 40 honoree, Rick is a recognized authority on lead generation and sales automation.

Francisco Cervera | Technical Lead 

Francisco is a data scientist and AI builder focused on turning complex AI concepts into practical, high-value business systems. He leads the development of real-world AI agent applications at AI Launch, working at the intersection of automation, experimentation, and rapid execution.