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Activating People, Not Just Technology, in the Crowded AI Market: A Conversation with Christine Heckart, CEO of Xapa

Heckart, CEO of Xapa

Christine Heckart, CEO of Xapa, is redefining how organizations leverage AI—not by replacing human work, but by empowering it. Xapa’s platform embeds personalized AI mentors, coaches, and assistants directly into employees’ daily routines. The result is a “bottom-up” transformation model that drives behavior change, accountability, and resilience across the organization.

In this conversation with TechBullion, Heckart shares how Xapa is building the bridge between strategy and execution, enabling companies to create adaptive, learning-driven cultures that thrive amid disruption.

Standing Out in a Saturated AI Market

TechBullion: There are countless AI platforms out there. What makes Xapa truly different?

Christine Heckart: Most AI tools aim to automate tasks. Xapa’s mission is to activate people. We integrate AI mentors, coaches, and assistants directly into every employee’s workflow, helping them grow skills and confidence in real time. Instead of replacing human intelligence, we amplify it. It’s like the difference between handing someone a calculator and teaching them how to solve complex equations themselves. We help organizations build the human capabilities that make transformation last.

Redefining “Employee Activation”

TechBullion: What exactly does “employee activation” mean—and how does it differ from traditional training?

Heckart: Traditional training is episodic—you take a course, watch a video, or attend a seminar, and then you go back to your routine. Activation is continuous. It weaves skill-building into everyday work through what we call micro-moments—short, focused interactions that develop new habits and behaviors over time.

Think of it like the difference between reading about swimming versus getting in the pool every day with a coach. Activation turns theory into sustained practice.

Why Bottom-Up Change Matters

TechBullion: Why is bottom-up activation so critical for transformation, especially as AI reshapes work?

Heckart: Because change imposed from the top rarely sticks. As strategies cascade down the organization, clarity and energy get lost along the way. McKinsey’s latest research shows that 80% of successful AI transformations depend on people changing how they think, work, and collaborate—only 20% depends on technology itself.

By empowering employees directly with AI mentors and learning loops, we enable scalable, continuous skill growth that translates strategy into execution faster than traditional methods ever could.

The Business Case for Human Activation

TechBullion: Why invest in “activation” when companies could simply buy more AI technology?

Heckart: Because the ROI is undeniable. Gartner found that investing just ten cents in human activation for every dollar spent on AI yields $4.4 trillion in productivity gains.

Our clients see this firsthand—new hires become competent faster, teams adapt to change more quickly, and organizations achieve cultural and strategic shifts at scale. Most transformations fail not because the strategy is flawed, but because people don’t change fast enough. Activation fixes that.

Barriers to Workforce Activation

TechBullion: What challenges do leaders face in activating their workforce?

Heckart: Three big ones.

First, scale—maintaining consistent messaging and momentum across thousands of employees is hard.
Second, leadership bandwidth—middle managers are often stretched too thin to effectively coach their teams through change.
Third, change fatigue—employees are tired of constant transformation initiatives.

Xapa solves these issues with scalable, always-on AI mentors and coaches that provide personalized guidance, answer questions, facilitate difficult conversations, and help shift mindsets from passive to empowered.

Responsible AI Adoption

TechBullion: How does Xapa promote ethical and responsible AI use?

Heckart: Every employee can use Xapa to improve their AI literacy and build critical skills—like ethical reasoning, data judgment, and decision-making. Only one in ten managers today feels confident leading in an AI-driven environment; we’re closing that gap with targeted AI resilience training.

We also teach organizations our TRUST framework for responsible AI governance:

  • Triage
  • Right Data
  • Uninterrupted Monitoring
  • Supervision (of AI models and outputs)
  • Technical Documentation

This ensures AI enhances, rather than replaces, human judgment.

Building Connection Across Hybrid Teams

TechBullion: How does Xapa create cohesion and accountability in hybrid and remote workplaces?

Heckart: By embedding AI mentors and “teams of trainers” directly into employees’ digital workflows—no matter where they are. These virtual coaches help employees build shared habits, align with company goals, and practice key behaviors like accountability, collaboration, and adaptability.

It’s consistent cultural reinforcement—whether you’re in a New York office or a home workspace in Austin.

The Future of Leadership in the AI Era

TechBullion: What does leadership look like in an AI-driven future?

Heckart: Leadership is no longer about titles—it’s about practice. Every employee needs the ability to think critically, influence others, and adapt quickly.

The future is distributed leadership: where decision-making, innovation, and adaptability happen at every level, not just in the C-suite. Organizations that embrace this will move faster, innovate more freely, and turn disruption into opportunity.

A Veteran CEO’s Mission

TechBullion: You’ve led at Microsoft, Cisco, and other major tech firms. What inspired you to launch Xapa now?

Heckart: After decades of building technology companies, I realized technology alone doesn’t transform organizations—people do.

Right now, companies are pouring resources into AI systems but neglecting the human side. The gap between strategy and execution is widening. I founded Xapa to close that gap—to help companies develop their people just as quickly as they advance their technology.

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