Austin Ambrozi

Austin Ambrozi Speaking Topics

• AI Demystified: The Practical Playbook for Small and Medium Businesses

  AI is no longer a niche technology; it is infrastructure. Yet many organizations remain paralyzed by complexity or fear of job displacement. In this high-energy, zero-jargon session, Austin strips away the mystique of Artificial Intelligence, moving beyond buzzwords to understand how Large Language Models actually "think"—visualizing them not as magic, but as calculators for ideas instead of numbers. By addressing the biggest fears head-on, attendees leave with a clear understanding that AI is not here to replace them, but to free them from the grunt work of thinking so they can focus on decision-making. This is the "bicycle for the mind" upgraded to a rocket ship.

• AI for Storytellers: Amplifying Creativity & Connection Without Losing Your Soul

  In the new era of content, AI isn't just changing how we tell stories—it's changing who can tell them. From creating marketing-grade video with tools like Sora to dubbing content into 11 languages, the barrier between idea and execution has collapsed. But for creatives, the question remains: "If AI helps me, is it really mine?" This session acts as a practical toolkit for marketers and creatives who need to do more with less. Austin dismantles the fear that AI destroys creativity and replaces it with a workflow that amplifies intent. He walks audiences through the exact tools and tactics used to create high-quality, authentic content—demonstrating how to survive the shift from traditional SEO to "AI SEO," where being cited by an algorithm is the new ranking factor.

• The AI Advantage: Building Competitive Organizations Through Culture and Strategy

  The companies dominating in 2030 won't just have the best AI—they will have the best cultures built to deploy it. While most of the world debates the basics, market leaders are already miles ahead. Drawing on experience leading the Forbes AI Group and advising world leaders, Austin brings an insider's perspective on the strategic landscape of Artificial Intelligence.

  This session bridges the gap between high-level strategy and on-the-ground execution. Austin introduces the "AI Implementation Protocol"—a proven, four-phase change management framework. Audiences move from understanding the "fluency gap" and "Agent Commerce" directly into a roadmap for operationalizing AI, learning exactly how to move from scattered experiments to scalable infrastructure in six months without breaking the organization.

  Attendee Results:

  • Receive the AI Implementation Protocol: a step-by-step 4-phase roadmap taking you from "Time & Friction Audits" to full organizational integration
  • Learn the "Lighthouse" Strategy: how to use "Safe Harbor" zones to run high-impact pilots that prove ROI without risking the entire organization
  • Prepare for the Future of Commerce: understand "Agent Commerce," where AI agents negotiate and purchase on behalf of customers
  • Gain strategic forecasting insight: why progress isn't slowing down and how to plan for models that are recursively self-improving
  • Transform organizational culture from AI-resistant to AI-native in measurable phases

• AI Implementation Decoded: The CEO's Guide to Build vs. Buy Decisions

  Every CEO faces the same critical fork in the road: build your AI capabilities in-house or partner with external vendors. This decision can make or break AI initiatives—and most organizations get it wrong. Austin Ambrozi delivers an intensive masterclass on turning AI ambition into operational reality, providing a complete framework for AI implementation success, whether you choose to build, buy, or blend both approaches.

  Drawing from his experience as COO of an AI company backed by Netflix's co-founder and his advisory work with world leaders, Austin cuts through the vendor hype and implementation mythology to show what actually works.

  Attendee Results:

  The Build Path:

  • Learn how to classify and prioritize AI use cases that drive real ROI
  • Master the exact requirements definition and workflow mapping process that prevents -scope creep
  • Understand who needs to be at the table and what they're actually responsible for
  • Identify critical milestones and deliverables from concept to production

  The Buy Path:

  • Navigate the AI vendor landscape—from freelancers to Big 4 consultancies
  • Apply decision criteria that separate legitimate partners from expensive mistakes
  • Recognize what an effective discovery session looks like (and red flags to watch for)
  • Build the optimal vendor-client dynamic for long-term success
  • Set realistic go-live and support expectations that align with business objectives