MBA for the EA - AI Edition

How Administrative Professionals Can Turn What They Know Into What’s Next

60-Minute Dual Session | 30 Minutes Per Presenter

AI adoption does not begin with becoming a technologist. It begins with understanding the work, recognizing a problem worth solving, and being willing to experiment.

In this dual session, Yvonne Torres and Carmelo Neal Faller will share two real-world examples of Administrative Professionals moving beyond simply using AI to creating with it.

Yvonne Torres | Building an AI-Powered Cost Summary Assistant

Yvonne will take attendees inside the creation of her AI-powered Cost Summary Assistant and show how Administrative Professionals can identify repetitive or time-consuming work that is ripe for AI.

She’ll demonstrate how to take the expertise already in your head, translate it into a workflow an AI tool can understand, build a no-code solution, safely test and refine it, and ultimately use AI to create greater capacity for higher-value, more strategic work.

Attendees will learn how to identify an AI-worthy workflow, translate their expertise into a no-code agent, test it responsibly, and begin thinking differently about the work they could automate, augment, or reinvent.

Carmelo Neal Faller | “I Wonder If I Could Build This?”

Carmelo’s story begins not with technical expertise, but with a problem at Intel and a simple question: “I wonder if I could build something to solve this?”

In this candid conversation, Carmelo will share the journey behind creating his chatbot at Intel, including the problem he was trying to solve, what he knew about AI when he started, the tools he experimented with, the learning curves and failed attempts he encountered, and what ultimately came from the project.

More importantly, he’ll talk about the mindset required to move from AI observer to AI experimenter.

Carmelo will share what surprised him, how the experience changed the way he thinks about his role as an Executive Assistant, and what he would tell Administrative Professionals who believe they are not technical enough, experienced enough, or ready enough to begin.

Together, these two sessions make one important point:

You do not need to be a developer to create meaningful solutions with AI. You need to understand the work, stay curious, and be willing to say, “Let me try.”