Featured guest interview

The Woman Driving Organizational Change With AI & The Science of Play

Conversation with Christine Heckart

Christine Heckart, founder and CEO of  Xapa is using AI and the Science of Play to help organizations rethink employee development, leadership training, and culture change. Through Xapa, Heckart combines gamification, animated avatars, and short daily learning experiences to make professional growth more engaging, scalable, and practical. Her approach is built on the belief that AI alone is not enough to transform companies; people must learn how to think, communicate, adapt, and work differently alongside technology. By using play to reduce resistance and increase engagement, Xapa helps leaders turn organizational goals into daily behaviors that strengthen accountability, collaboration, and human potential.Heckart’s Journey From Colorado To Silicon Valley

Heckart’s Journey From Colorado To Silicon Valley

Christine Heckart did not set out to become a Silicon Valley technology executive. She describes herself as “a country girl from the farmlands of Colorado,” someone who grew up pumping gas at an Exxon station run by her mother.

Her path into technology began almost by accident. After attending college in Boulder and marrying her high school sweetheart, Heckart moved to Tulsa, Oklahoma, where her husband had accepted his first job. That move placed her in the telecom industry, which eventually led her into data technology, Silicon Valley, and a 35-year career in tech.

Over the years, Heckart worked inside major companies, helped scale organizations, founded and led smaller companies, and experienced the speed, pressure, and volatility of the technology world. At Microsoft, she joined when the company had roughly 80,000 employees and left five years later when it had grown to about 125,000.

“You get a PhD in scaling,” she said.

But after decades spent building products, launching new categories, and leading companies through growth and transformation, Heckart came to a realization that would shape the next chapter of her career: products do not last forever.

“Products come and go,” she said. “Whole categories of products come and go. Billions of dollars can just be gone over the span of a couple of years. Teams come and go, companies come and go, whole industries can disappear.”

For Heckart, that insight raised a deeper question. If products fade, companies change, and industries evolve, what kind of legacy actually lasts?

Her answer was people.

“The only lasting legacy I feel that most of us have,” she said, “is on people and how we impact them and their lives and their career, whether that’s positive or negative.”

Xapa: Using AI And Play To Scale Employee Development

Xapa: Using AI And Play To Scale Employee Development

That conviction became the foundation for Xapa, the company Heckart now leads as founder and CEO. Xapa is built around a simple but ambitious idea: technology should help people grow, not just help companies move faster. By combining AI, play, and human development, Xapa is working to make leadership and employee development more accessible, engaging, and scalable.

Xapa uses AI, animated avatars, gamified learning, and short daily experiences to help companies teach communication, collaboration, accountability, innovation, leadership, and culture. The platform is designed to help leaders drive organizational change not just by communicating strategy, but by helping employees practice the behaviors that strategy requires.

One of Xapa’s most distinctive tools is the “Xavatar,” an animated avatar that can represent a CEO or senior leader. In practical terms, it allows a leader to personally welcome new employees, explain the company’s vision and purpose, communicate cultural expectations, and guide people through change.

For a CEO leading thousands of employees, the challenge is obvious. A leader may want to mentor, inspire, and align every person in the organization, but time and scale make that nearly impossible. Xapa uses AI to help bridge that gap.

Heckart explained that the first use case often begins with a CEO avatar introducing employees to the company’s purpose, history, transformation goals, and expected behaviors. The point is not merely to deliver another corporate message. It is to create an interactive experience where employees can understand, practice, and demonstrate alignment with the organization’s expectations.

That distinction matters because organizational change often fails in the space between what leaders say and what employees actually do.

Companies do not usually lack strategy documents, mission statements, values, or transformation plans. They struggle when those ideas fail to become daily behavior. Heckart believes Xapa can help close that gap by using play to make learning more approachable and AI to make development more personal and scalable.

The Science Of Play: Making Change More Learnable

The Science Of Play: Making Change More Learnable

At Xapa, play is not treated as a distraction from serious business work. It is part of the strategy.

Heckart points to what she calls the Science of Play. The idea is rooted in the way people respond to stress and change. When people feel uncertainty, pressure, urgency, or fear, the brain can flood with cortisol. That stress response can limit adaptability, learning, retention, and behavior change.

Heckart refers to this as the adaptability paradox: when people most need to change, they may be biologically least prepared to do so.

Xapa’s solution is to make learning feel less threatening and more engaging. Instead of long training modules or top-down lectures, the platform uses short, playful, five-minute learning cycles. Characters, quests, feedback loops, and interactive exercises are used to make development more approachable.

The goal is not to make serious business challenges childish. It is to make them more learnable.

“You can deliver very sophisticated content and slip it into people’s brains through play,” Heckart said.

That idea is central to Xapa. Play becomes the doorway through which employees can practice new behaviors without feeling overwhelmed by pressure, criticism, or corporate jargon. In a world where employees are being asked to adapt faster than ever, Xapa uses play to reduce resistance and create a better environment for learning.

The approach is familiar in consumer learning platforms, where apps use habit loops, progress markers, and playful interaction to help people learn languages, improve health, or build new routines. Xapa applies a similar principle to organizational development.

The platform provides “quests” for employees and managers that focus on collaboration, innovation, accountability, communication, and other workplace behaviors. Rather than simply telling employees to be more collaborative or accountable, Xapa gives them structured opportunities to practice those skills in small, repeatable ways.

The Science Of Play: Making Change More Learnable Heckart’s Vision For Democratizing Development Through Xapa

For Heckart, democratizing development is personal. During her time as CEO of a previous company, she was nominated into the Conscious Business Leaders Academy, a program designed for CEOs. She found the experience valuable, but she also found herself thinking that the content should not be limited to people at the top.

“I need all of my people to know this,” she recalled.

That realization became part of Xapa’s origin story. If only the CEO learns how to communicate better, listen more effectively, build accountability, and align stakeholders, the impact is limited. But if those same frameworks can be placed into the hands of every employee, the effect can multiply across the organization.

This is where AI becomes essential to Xapa’s model. AI can help personalize the experience, remember individual communication styles, and provide guidance in real time. Heckart explained that AI can help a person understand how to resolve conflict, influence someone more effectively, or adapt their communication style to another person.

In that sense, Xapa is not using AI simply as a productivity tool. It is using AI as a mentor, guide, and amplifier of human potential.

The timing of Xapa’s mission is significant because companies are also facing a major AI transformation. Many leaders are investing heavily in AI tools, but Heckart believes the greatest obstacle is not the technology itself. It is whether people know how to think, work, communicate, and make decisions differently with AI.

“The gap isn’t the tools,” she said. “The tools are intuitive. They’re easy to use. You only have to know how to think and how to talk. What’s hard is teaching people to behave differently.”

That may be one of Xapa’s most important arguments. In the age of AI, human skills do not become less important. They become more important.

A useful AI prompt depends on context. A useful AI output depends on judgment. Employees must know how to frame the right question, supply the right background, evaluate the answer, and decide whether the result actually fits the situation. Without context and discernment, a confident AI answer can still lead a person in the wrong direction.

Heckart believes context is one of the great differentiators of effective leaders. It includes the ability to read a room, understand what is unsaid, sense emotional drivers, observe body language, listen beyond words, and adapt to the situation in real time.

Those skills have always mattered in leadership. But in a world where employees are increasingly expected to use AI tools and manage AI agents, they now matter at every level of the organization.

In Heckart’s words, “Everybody is a manager now.”

That idea reframes employee development. If every employee is going to work alongside AI, then every employee needs better judgment, communication, accountability, listening, and adaptability. Leadership development can no longer be treated as a benefit for the few. It must become part of how organizations prepare everyone for the future of work.

Xapa’s Theory Of Change: AI, Play, And Human Development

Xapa’s Theory Of Change: AI, Play, And Human Development

This is where Xapa’s use of AI and play becomes more than a product feature. It becomes a theory of change.

Heckart is betting that organizations will not transform simply because leaders announce a new strategy or deploy a new tool. They will transform when people learn new behaviors, practice them consistently, and understand how those behaviors connect to the company’s purpose.

Gamification, in that model, is not a gimmick. It is a delivery system for culture change. Play makes learning more approachable. AI makes development more personal and scalable. Xapa brings the two together to help organizations turn ideas into behavior.

After a long career in deep technology, Heckart is now building a company focused on the human side of transformation. Xapa still uses advanced technology and AI, but its purpose is not technology for technology’s sake. Its purpose is to help people grow.

That is what makes Heckart’s work notable. She is not rejecting the future of AI. She is arguing that the future of AI depends on whether human beings develop alongside it.

Her message to leaders is clear: the companies that succeed will not simply be the ones with the best AI tools. They will be the ones whose people know how to think, adapt, collaborate, and lead through change.

For Heckart, this is also a legacy question. After decades of building products and companies, she has chosen to focus on the one thing she believes has the greatest staying power: the impact leaders have on people.

And through Xapa, she is trying to make that impact scalable through AI, play, and human development.

Christ Heckart Interview Transcript

Interview Transcript:

Alan Olsen 0:01
Welcome to American Dreams. My guest today is Christine Heckart. Christine, welcome to today’s show.

Christine Heckart 0:06
Thank you, Alan.

Alan Olsen 0:09
We’ve known each other for some time, and it has been exciting to watch the growth of your company. But before we get into that, I’d like to have you walk through your background for the listeners. How did you get to where you are today?

Christine Heckart 0:28
Well, I’m a country girl from the farmlands of Colorado. I grew up pumping gas at an Exxon gas station that my mother ran. I went to Boulder for college, married my high school sweetheart, and we’ve now been married for 38 years.

We ended up in Tulsa, Oklahoma, because that’s where he got his first job, and that put me into the telecom industry. I eventually switched over to the data tech industry, which brought me to Silicon Valley. Basically, I’ve spent my entire career, 35 years, in tech of some sort.

Alan Olsen 1:13
And you’ve run multiple companies and helped to scale them.

Christine Heckart 1:20
I’ve worked at some very big companies, like Microsoft. I joined Microsoft when it had 80,000 people, and five years later I left when it had 125,000 people. You get a PhD in scaling, and I learned so much at that company.

I’ve been at Cisco, I’ve founded and run three smaller companies, and I’ve been at some exciting high-growth mid-market companies. I’ve even done one successful turnaround.

The Story Behind Xapa

Alan Olsen 1:53
Let’s fast forward to today. You are the CEO and founder of a company called Xapa. What’s the story of Xapa? How did it come about?

Christine Heckart 2:07
Xapa is really about legacy. Alan, you’re all about legacy, and you have Legacy Builders, which I love. I think it’s such a fantastic idea, and your passion for it is very clear. That is why Xapa was started.

I thought after I sold my last company that I would just retire, but I really wanted some kind of positive legacy. One of the things I’ve realized is that my specialty through my career has been creating and launching new products, and often new product categories.

I’ve learned the hard way that products come and go. Whole categories of products come and go. Billions of dollars can disappear over the span of a couple of years. Teams come and go. Companies come and go. Whole industries can disappear.

The only lasting legacy I feel most of us have, unless we are a Steve Jobs or someone who has had a massive global impact, is on people and how we impact their lives and careers, whether that is positive or negative.

I’ve spent my whole life doing deep technology, data analytics, networking, and storage. I really wanted to build something where technology would play a very positive role in people’s lives and help them grow into the best version of themselves personally and professionally, while also helping a company achieve a company goal.

We were not sure if we could bring those things together. It took us a couple of years to figure out the formula, but we did. Xapa means joy in Greek, and that is what we try to do: bring joy to every stakeholder, from the shareholder down to the individual contributor.

How Xapa Uses AI to Help CEOs Mentor Employees at Scale

Alan Olsen 4:19
You’ve indicated that CEOs can use Xapa to mentor 10,000 employees at once. How exactly does that work?

Christine Heckart 4:28
Xapa does something unique right now, and I think plenty of other companies will follow this. We can take a human, like you, Alan, and create an animated avatar. We call it a Xavatar.

If you want, we can even put a full digital twin behind it, so we can train that character to think and act like you, and even sound like you. If you want your people to be able to ask questions and get “Alan answers” from it, we can help with that.

The first use case we typically start with for a CEO avatar is having that character welcome every new employee. It teaches every employee, new or existing, the vision and higher purpose of the company. It explains the history they should be aware of, what is changing, and what transformation the company is going through, whether driven by AI or something else.

It also communicates what the company needs from employees in order to successfully complete the transformation. It explains the culture and the behaviors expected within the organization.

So, we help every CEO communicate personally to each employee, but in a way that allows the employee not just to hear it, but also to demonstrate that they understand it and then practice the behaviors that align with the CEO’s expectations.

The Science of Play and Gamification at Xapa

Alan Olsen 6:11
At Xapa, you help leaders scale and drive change in their companies using the Science of Play, also referred to as gamification. Can you tell us about that and why you feel it is effective at driving change within organizations?

Christine Heckart 6:26
Have you ever heard of the adaptability paradox?

Brain biology tells us that anytime a human being is under stress, whether that stress comes from urgency, uncertainty, a boss complaining, or something else, the brain floods with cortisol. Cortisol creates the fight, flight, or freeze response. It is the amygdala hijack.

Change is a very big stressor for most people. When the brain floods with cortisol, it shuts down the biological centers, circuits, and receptors that deal with adaptability, retention of information, learning new things, and changing behavior to adapt to those new things. That is exactly the opposite of what we want.

So the paradox is this: when we most need to change, or when we most need our teams to change, they are biologically least able to do so.

The neuroscience behind what we call the Science of Play shows that if we can substitute dopamine instead of a cortisol flood, even five minutes of dopamine in the brain, especially first thing in the morning, can help open up adaptability, learning, behavior-building, and habit-building receptors.

It also has a lasting impact throughout the day. As cortisol comes into the brain, the dopamine helps counteract it to some degree.

You’ve probably heard of Duolingo, which teaches language and is also built on the Science of Play. Noom and other consumer apps have been doing this for a long time. They are built around behavior change and include getting dopamine, and sometimes serotonin, into the brain.

That is what we do. It is five minutes of play.

This is why Xapa is based on characters. If you become a Zavatar, it does not look exactly like Alan. You can tell it is Alan, but it is a playful character. If you think about South Park, The Simpsons, or your favorite animation, you can deliver very sophisticated content and slip it into people’s brains through play, through cartoon characters, in ways that add to the dopamine cycle instead of adding to the cortisol cycle.

There is a five-minute loop for any behavior we are trying to teach or any content we are trying to deliver. It is five minutes of play, because play opens up adaptability and responsiveness to learning.

Alan Olsen 10:22
It’s interesting how our brains get wired. Five people can sit in the same room, hear the same information, and walk out with five different pathways. That makes launching an AI company unique because it is not a one-solution environment.

I love the approach in gamification because it gets a person relaxed, reduces cortisol levels, and puts dopamine back in place. This world is changing so fast. For some people, change is easy. Others always want to go back to what it was.

I want to move into collaboration. Companies often have thousands of employees because of the diversity of wisdom inside them. Xapa provides employee and management quests to help with collaboration, innovation, and accountability. How exactly does this work, and would you mind sharing some examples?

Christine Heckart 11:45
Let me back up a little bit.

I had an amazing experience when I was CEO of my last company. I was nominated into a program called the Conscious Business Leaders Academy. It was for 35 CEOs who go through the program as a cohort.

The program runs for several months and includes virtual and in-person sessions. It is taught by incredible speakers, business leaders, CEOs, doctors, and researchers. Every session, I kept thinking to myself, “This is great content, but it has nothing to do with only being a CEO. I need all of my people to know this.”

It included things like how to communicate effectively, how to collaborate effectively, how to increase accountability, how to create a culture of self-empowerment and self-accountability, how to lead and influence better, and how to align stakeholders.

As much as I loved what I was learning, I felt that unless everybody had the same benefit, knowledge, and frameworks, the impact of me having it would be much less than if we all had it together.

So when I sold that last company, we had a good exit. I went to the CBLA leaders and asked if we could work together on a way to take this content out to everybody, to democratize access so it was not just the important people at the top or the rich people in society who had access to human development. They said yes, and we did that.

The core curriculum began with exactly what you are talking about. How do you teach people not only about their communication style, but also make it easy for them to understand how their style relates to someone else’s?

That is where the AI mentor comes in, because you cannot remember my style, or vice versa, but AI can. It can help me know how to resolve conflict with you or how to influence you on an idea.

We incorporated that into the core curriculum of accountability, effective listening, and other skills.

AI can record every word in a meeting, but it cannot tell you what actually happened. That requires human context. Humans are context-sensing machines. We are constantly taking in information we do not even realize we are receiving.

For successful leaders and executives, one of the skills they often have in abundance is the ability to read in real time, assess, understand, and adapt to context. If they are really good leaders, they are also good at sharing context.

Context becomes one of the top differentiators between executives, successful people, and everybody else.

Christine Heckart 16:53
In the age of AI, context matters a lot. The most important thing in writing a good AI prompt is context. If you cannot give AI a rich set of context, it cannot give you a rich and accurate answer.

And if AI gives you an answer, whether or not you provided good context at the beginning, you still need to use your contextual understanding of the situation to assess whether the answer is right. Otherwise, you may think a highly confident AI answer is correct, even when it is not.

Context comes from listening not just to words, but to emotions and drivers. It comes from listening to what is unsaid, not just what is said. It comes from the energy in the room and people’s body language.

All of these things can be taught. We can teach people to understand, assess, and pay attention to context in the same way we teach them how the company makes money, what the objectives are, and basic business acumen.

We did not used to need everybody in the company to know this. It did not matter as much because managers and executives had the business acumen and context. They managed the individuals.

But now, with AI, everybody is a manager. Every single person can be on day one of the job, right after graduating college or high school, and be managing AI agents.

Without this kind of context, people cannot do a good job prompting or assessing AI. The reason we have the curriculum we have, built on these five-minute cycles, is to help everybody rapidly build the skills they need to succeed in work and life. These skills are particularly important right now because of the AI transformation.

Alan Olsen 18:25
Christine, I want to share a story that happened to me, and then we’ll tie this back to Xapa and AI.

This morning, I had a supply of nutritional supplements that come four weeks at a time. I received a text saying my subscription had run out and I needed to renew. So I called the organization and told the receptionist that I needed to pick something up on Friday.

The person responded by saying they had a strict policy that it takes 72 hours to fulfill something, but she would check with her boss.

I got off the phone and said to my wife, “You should never have a receptionist who can only tell you the problem.” I was not calling to hear the problem. I was calling because I needed to get something from them.

If we do not properly tee things up with AI and roadmaps, and if we do not put things in terms of what the other person is trying to solve, the tool can lead us into rabbit holes the wrong way.

I love what you are outlining with Xapa and gamification, identifying how to get cortisol out of the mind and dopamine in place. But can it help with a strategic roadmap for the person using it, so they know how to direct the tool to where they need to go?

Christine Heckart 21:02
Yes. The core problem you encountered with the receptionist is multiplied many times over, because almost every company has an AI strategy right now.

The gap in fulfilling the strategy is that almost nobody is getting a return on all the investment they are putting into AI. The gap is not the technology. The gap is the humans.

McKinsey has research showing that even in successful AI implementations, much of the success comes from people learning to think and work differently with technology.

Can Xapa give each person a roadmap? Yes. Can Xapa help a company fulfill its own AI roadmap by ensuring the people gap does not happen? Yes. That is one of the big reasons we get deployed.

Most leaders today believe that learning to use AI is the problem and that the AI strategy is about tool deployment. Over and over again, the research shows that is not true.

Everybody has access to the same tools. The tools are intuitive and easy to use. You only need to know how to think and how to talk.

What is hard is teaching people to behave differently and teaching people contextual absorption and sharing so that AI can do its job.

The danger right now is not whether machines can think or cannot think. The danger and the requirement is that humans need to think, because humans oversee AI. AI is designed to hallucinate, so humans must provide the framework and boundaries within which AI can do a good job on behalf of the company.

Alan Olsen 24:55
So we are more powerful than AI?

Christine Heckart 25:00
For sure. And we are more powerful with AI when it is used well.

Peter Drucker said culture eats strategy for breakfast. That is absolutely the case today. The human element, and how humans behave, is more important now than ever before.

It also dawned on me that B.F. Skinner said something like, “The real problem is not whether machines think, but whether men do.” That is exactly the core problem today. We need people to think, not just machines.

Alan Olsen 26:00
If a person wants to learn more about Xapa or take it for a test drive, what is the process? How do they get in contact with you or the company?

Christine Heckart 26:09
Getting in contact with me is easy. Because it is Xapa, everything has an X.

We love when people want to take it for a test drive. We are always happy to set that up and allow people to do it. It is fast, it is easy, and it is five minutes of play a day.

For your audience, if somebody has a bigger purview, we are a young company, and investment is our lifeblood. If people believe in this mission of ensuring that every human fulfills their potential, that humans are aligned to help the business fulfill its potential, and that we need people to think, not just machines, then we are extremely grateful for people who are willing to vote with their dollars, whether through deployment, investment, introduction, or something else.

Most venture money does not go toward women my age. It does not go toward women in general, let alone women my age. Even more importantly, very little venture investment goes into technologies that are about helping humans.

Most of it goes into deep tech, tech for the sake of tech, which is also awesome. We are built on deep tech. We are built on AI. We use AI in everything we do.

It is about voting with your dollars in some way, shape, or form to ensure that humans have a successful place alongside machines in modern life.

Alan Olsen 28:07
Christine, it has been a pleasure having you with us today on American Dreams. I appreciate your friendship and wish you the best in the future of Xapa as you continue your mission of enhancing our ability to utilize AI in our businesses and personal lives.

Christine Heckart 28:32
Alan, thank you not just for having me on your amazing show, I am very grateful for that, but also for being you and for the ripples you put out in the world.

The legacy you are trying to build through Legacy Builders is important. I know that you make an impact every day. That is what I want to do also, and I am grateful to be part of your community.

Alan Olsen 28:56
Thank you, Christine.