Enterprise AI Transformation · Charlotte, NC
I'm Gina Schudi. I lead the AI Enablement program at Truist — the operating model, the enablement, and the work of taking tens of thousands of people from curious to genuinely capable.
teammates reached through enterprise AI enablement across three deployment waves
agents built by teammates within four weeks of Agent Builder reaching enterprise adoption
Commercial Banking innovation portfolio directed at Wells Fargo, including $10M in GenAI investment
Commercial Banking business units in a credit transformation spanning sales, decisioning and underwriting
Human-Centered AI
Enterprise AI adoption will not be won by the people who are already excited about AI. They're already coming. The harder and more important work is reaching the person who doesn't think AI has anything to do with them yet — and that starts with something they already want to do.
Most organizations treat AI Enablement as a function — training, communications, governance, change management. I think it's closer to a product. Same discipline: understand your users, remove friction, drive adoption. The difference is that the product isn't AI. It's human capability — amplifying what people can do, not simply automating tasks.
Everyone has the tools now. What they don't have, evenly, is capability — and capability comes from people and experience, not training. From iteration, not instruction. The work is helping it build intentionally instead of by accident.
In a regulated environment, “it feels faster” is not a result. Adoption, behavior, outcome and sentiment have to be measured together, with governance built in from the first wave rather than retrofitted after the audit.
Selected impact
At Truist, lead the program and operating model that took Copilot from pilot activity to enterprise adoption for 50,000+ teammates — training, communications, Champions, Office Hours, the Learning Hub front door and an executive support layer around every capability launch.
At Truist, scaled Agent Builder from a 2,500-person pilot to 50,000-person adoption in weeks, with an outcome of 6,500+ agents activated in four weeks. Train, Enable, Adopt — in action.
Two sets of Prompt-a-thons at Truist in April 2026 put roughly 300 people in a room with their own work, moving teams from first prompts to working business use cases in a single session. Hands-on, business-led and outcome-focused.
At Wells Fargo, led strategy and the execution team for Commercial Credit Transformation across eight business units — redesigning operating models and workflows across the entire value chain, from sales through credit decisioning and underwriting.
Writing
My friend's husband is a hunter and a fisherman who would not sit through a talk about large language models. Then we showed him his own cabin.
Enterprises aren't stalling because the models are weak. They're stalling because nobody prepared the people. Here are the five gaps I spend my time closing.
Everyone has the tools. Capability is what's uneven — and it doesn't come from training. What happens after someone hits the unlock, and what's coming next.
Perspectives
Between longer pieces I think out loud on LinkedIn with about 1,500 people who care about the same problem — what's landing in enablement, what the adoption data is saying, and where the human side turns out to be harder than the technical side.
I'm becoming more convinced that the first job of AI enablement
isn't education. It's helping someone find their reason to care.
That is how you bring
a workforce along. Not one technology deployment at a time. One person at a time.
And
sometimes, it starts with a cabin in the woods.
Comparing notes
If you're working on AI enablement somewhere — or just thinking about the same problems — I'm always glad to trade notes on what's actually working.