Every organization hits the same wall: the CEO is ready to move on AI, but the team is afraid.
At HireBetter, a talent strategy firm, that fear was real—anxiety about AI taking jobs, skepticism about whether it would actually help.
One year later, they’ve built what they call an AI-native culture
When CEO Velveth Schmitz and Chief Experience Officer Amy Ancira first explored AI, they faced the same resistance most leaders do— too much on their plates, too little clarity, and real fear on the team.
Instead of outsourcing the problem, they started with themselves . They became AI-driven leaders first.
That shift changed everything:
• 4-hour workflows collapsed into 4-minute systems.
• Note-taking and admin vanished, replaced by presence and relationships.
• Team-wide anxiety turned into curiosity and pride.
Their people weren’t replaced by AI. They were liberated to do what only humans can do— connect, listen, and lead
Velveth’s philosophy was simple: never ask your team to do something you won’t do yourself.
She dove in first—learning, fumbling, and experimenting in public.
That transparency built trust.
When she asked her team to join her, it wasn’t a top-down mandate; it was an invitation.
Her first step was finding an ally. Amy—creative, process-driven, and already juggling too much—was skeptical. But when she used AI to redesign a client process that once took hours into something that ran in under a minute, she saw what was possible.
Then came the bigger leap: shifting her people from note-takers to relationship builders.
“We just liberated our team to be human,” Velveth said. “Now we get to be present for clients instead of buried in admin.”
Here’s what made their transformation stick:
Lead from the front.
Velveth didn’t delegate AI learning—she modeled it. That signaled safety and curiosity instead of fear.
Start with a visible win.
Amy automated a painful, manual process that everyone hated. Once the team saw it working, resistance collapsed.
Recruit skeptics, not just enthusiasts.
Their most rule-bound teammate wrote HireBetter’s AI policy—using AI to draft it. The process turned a resistor into an advocate.
Model failure and feedback.
Every misstep became a shared learning loop. They didn’t punish mistakes—they studied them.
Anchor it in values.
Their north star was “human-to-human connection.” Every automation had to serve that value, not replace it.
The result: AI didn’t erode their culture—it deepened it.
You can start the same way—with one conversation, one experiment, and one prompt. Use the CRIT™ Framework to design the prompt to build your first culture-safe AI pilot:
[Describe one process that steals your team’s energy but doesn’t define your value.]
Ask AI to act as a trusted advisor who helps you simplify or automate it. You have 20+ years of experience and a proven track record of helping leaders in similar roles overcome complex challenges and achieve breakthrough results. You think like a seasoned executive, ask penetrating questions, and provide actionable insights that drive real business outcomes.
Please interview me one question at a time, asking up to 3 strategic questions to gain deeper context about my situation, resources, constraints, and goals.
Based on our conversation, draft a pilot plan that cuts the busywork while preserving the human touch. Provide a comprehensive action plan that includes: 1) The top 3 highest-impact strategies to address my challenge, 2) Specific tactics I can implement in the next 30 days, and 3) Key metrics to track progress and success. Then test it. Show the result. Watch curiosity replace fear.
This is what transformation looks like inside The AI-Driven Leadership Collective™
—the private network where executives like Amy and Velveth learn, experiment, and build AI-native organizations together.
Collective members are:
• Rewriting leadership playbooks in real time
• Building AI-native cultures that scale human capacity
• Designing the businesses that will put them out of business—and rebuilding them first
If you’re ready to lead this way, join the leaders who already are.