Dive into the transformative power of AI in the AV industry. AVIXA’s AI Accelerator is a full day of insights from foundational tools already available to you to advanced applications. Learn how to integrate AI effectively, navigate ethical considerations, and cultivate an AI-driven innovation culture within your organization.  

From Possibility to Practice: A Practical AI Framework for the AV Industry 

Tim Bailey, VP of Engineering & Lead Consultant, TeamPeople
Phoebe Korn, Sr. Engineering Program Manager, TeamPeople

Wherever you are on your AI journey, the sheer number of tools and approaches can make it difficult to know where to start—or what to prioritize next. AVIXA’s AI Accelerator opens with a practical, industry‑specific framework and set of building blocks designed to support everyone from AI newcomers to advanced practitioners by establishing the foundational concepts, governance, and structure needed for sustainable innovation.

Grounded in the realities of the AV industry, this session clarifies the critical difference between AI and the automated workflows you already use and provides guidance for managing complexity—helping organizations scale adoption confidently while avoiding the technical debt that often accompanies “vibe coding.”

Can AI design my system?

Trevor Flynn, Principal/CEO, Flynn Design Services

Hey AI, I have a bill of material, can you give me a drawing? 

Hey AI, I have a drawing, can you generate a wire pull list? 

Hey AI, can you verify my system design? 

In the time it took me to write this description, AI has already changed.  So what can we do with it as designers and engineers besides have it proofread our emails?  Find new tangible ideas and ways in which we can leverage AI.  We will test various AI models and system prompts to see how deep down the rabbit hole we can go. Topics will include AI assisted design, AI design verification, AI scope generation, and AI best practices for design.

Human Oversight and Validation in AI-Enabled AV Projects

Bill Fons, President of AI Initiatives/ Regional VP, CTI 

As AI becomes embedded across AV system design, deployment, and support, human judgment remains critical to ensuring accuracy, accountability, and trust. This session focuses on the key human checkpoints required when working with AI‑generated results—from validating designs and data outputs to reviewing recommendations before implementation. Explore practical validation frameworks and real‑world examples that show where and how people must stay in the loop, helping AV teams confidently deploy AI‑enabled solutions while mitigating risk and maintaining control.

AI Sandbox Sessions 

Bring your real-world projects and challenges to the table and work collaboratively towards a solution.

• Virtual Colleagues, Real Results: AI agents are emerging as “virtual colleagues” capable of supporting sales, engineering, and operations with domain-specific expertise. This discussion explores how to design, train, and govern these AI teammates to ensure accuracy, consistency, and real business impact—without losing the human context that drives successful outcomes.
• Building the AI-Powered Workplace: Chat directly with the Microsoft product team about what’s working—and what isn’t—as your organization moves toward an AI‑powered workplace. Share real‑world challenges and lessons learned around in‑office coordination, modern meeting spaces, and how Microsoft’s workplace tools fit together.

The Human Upgrade: Rolling Out AI with Culture, Trust, and Workflow in Mind

Sharath Abraham, Global Strategy Manager, Jabra GN

AI projects don’t fail on model quality, they fail when the people who should use them…don’t. 

This talk is a practical, vendor-neutral guide to launching AI in any department without breaking culture or trust. We’ll replace theory with plain language and real patterns from AV/IT environments: where AI helps (and doesn’t), how to choose first use cases that actually stick, and how to introduce them so staff feel helped, not replaced. You’ll learn a simple “people-first” rollout to clarify the job to be done, embed AI into the existing workflow, set clear success metrics, and design training that respects time and identity.  We’ll cover standard failure modes (executive pressure, shadow AI, unclear ownership, bias/privacy worries, and change fatigue) and show light-weight ways to address them. You’ll leave with a one-page checklist and talk tracks you can use with your C-suite and front-line teams on Monday. 

AI as a Translator: Enhancing Communication Across Trades and Stakeholders

Brian Banks, Chief Technology Officer, Core Consultor

AV projects often break down not because of technical gaps, but because the same information needs to be communicated differently to technicians, IT, project managers, and executives. This case study walks through the design of an AI-enabled workflow that translate technical project inputs into audience-specific language for different stakeholders, covering problem definition, architecture choices, and how using constrained, domain‑specific data can power practical AI applications.

Datagentism and the Age of Intelligent AV

Julian Phillips, Senior Vice President and Managing Director, XTG, AVI-SPL  

The professional AV industry has always been defined by technology, but the next era will be shaped by intelligence. Datagentism represents a fundamental shift: the integration of real-time data and autonomous AI agents directly into physical and digital environments, creating truly adaptive, responsive experience ecosystems. We’ll explore how datagentism will transform AV from systems integration into sentient experience engineering, where spaces understand context, anticipate intent, and collaborate with people to elevate experience, productivity, and connection.

You will leave with clarity on what datagentism is and why it matters now, how AI and real-time data redefine the AV value proposition, and practical steps to evolve from systems deployment to intelligent experience design.