Nicholas Hanges
CFO, Five Star Group of Companies
“The whole presentation sort of spoke to me, and it gave me some confidence.”

Keynote speaker on AI adoption for operators
You're already behind.AI will do your job.One prompt, job done.Agentic everything.
Bring the operator's view of AI adoption to the people in the storm doing the work. Your audience leaves with a plan they can run tomorrow.
In the audience's words
“It felt really good to know that somebody else came at it from an operator perspective as opposed to the AI company.”
Where Galina has spoken




Impact
Two attendees, in their own words.
CFO, Five Star Group of Companies
“The whole presentation sort of spoke to me, and it gave me some confidence.”
National Supply Chain Manager, Airgas
“Galina had put together a five step plan to work on your next AI project, which I'm going to utilize for some of my company's projects.”
Another room, the same real questions
A talk on AI sparked engaged, clarifying questions from attendees. The conversation echoed the need Nicholas and Mardaasa described: less abstraction, more clarity about how to put technology to work.
Audience voice · Council event
Keith · Audience voice
Who it's for
For the people in your room:
They're asking questions like:
“Where do we start?”
“How much should we invest before we know what works?”
“How do we get our people to actually use it?”
“What should we automate, and what should remain human?”
“How do we experiment without creating chaos?”
“How do we keep moving when the technology will be different again six months from now?”
The problem
The noise
Urgency is often a sales tactic. People need permission to start from where they are, not another reason to panic.
The trap
A shiny tool or an ambitious request can stall in the IT queue. Map the workflow and name the outcome first; then choose the right technology.
The work
A leadership email isn't enough. Build peer-to-peer practice, make space for experiments, and decide what stays human before automating the rest.
The reframe
Most conversations about AI begin with the technology. Galina begins with the work, informed by ongoing conversations with the people adopting it.
Instead of “What can AI do?”, ask “What problem are we trying to solve?”
AI is an enablement strategy, not a replacement strategy. Start with one headache, learn together, and keep human judgment where it matters.
The research behind the talk
Through Artificial Reality, Galina interviews business owners, executives and operators who are adopting AI inside their organizations now.
She asks what's working, what's not and what they wish existed. Their experiences and challenges shape the stories, examples and practical questions she brings to the stage. Audiences hear what businesses are learning on the ground, not just what vendors promise.
Signature keynote
A practical keynote for leaders and teams navigating AI, automation and constant technological change.
Discuss your eventGalina takes audiences beyond the black-box dream of AI and into the real-world challenges of adoption and deployment. The stories come from operators who are using the technology now, not hypothetical futures.
Watch the full talk
The audience transformation
“We're already behind.”
“We know where to begin.”
“We need a huge AI strategy.”
“We can start with one meaningful problem.”
“Our people aren't ready.”
“Our people can become part of the solution.”
“We need to know where AI is going.”
“We need a way to respond as it changes.”
“We should automate everything we can.”
“We can decide deliberately what stays human.”
What the audience takes away
The aim is not for the audience to say “I learned something interesting about AI.” It's for them to say “I understand how to move my organization forward now.”
Audiences leave equipped to:
Why this perspective is different
A great deal of the conversation about AI comes from the companies building it.
Galina's work sits on the other side: What happens when technology meets the people expected to actually use it?
Her career has put her repeatedly at that intersection, from machine learning on Wall Street, to building emerging-technology products, to leading U.S. go-to-market for an AI unicorn, to interviewing executives and business owners about how AI is actually performing inside their organizations.
Today, through Artificial Reality, she documents what operators are actually experiencing: the tools earning their place, the implementations failing to deliver, the work people want AI to solve, and the human problems technology alone can't fix.
Her career has been spent translating emerging technology into real-world adoption. That is the perspective she brings to the stage.
On stage, she turns those lessons into practical frameworks organizations can use to navigate technological change with more clarity, agency and confidence.
Curious by nature, Galina speed runs life and keeps her passport ready for the next conversation.

At a glance
Wall Street Machine Learning → Tech Exit to Niantic → U.S. GTM at an AI Unicorn → Founder, Artificial Reality
Speaker reel
Speaking formats
20–45 minutes
Operator stories, a practical framework and one action people can take back to work.
Leadership & teams
For leadership teams, upskilling programs, or departments trying to get people comfortable and moving.
Working session
A working session where attendees map one real workflow and leave with a clearer AI request, business case, or experiment.