Jaci Turner
Jaci Turner is the Founder and CEO of Emotion-First AI and the creator of Go Ask Simon™—a system designed to operate at the critical moment between AI output and human decision-making.
Her work is grounded in a simple but overlooked problem: most AI systems focus on what they generate, not how those outputs are interpreted and acted on by humans. In high-stakes environments, that gap can lead to overconfidence, poor judgment, and unintended consequences. Jaci began her career in banking, advancing from part-time teller to managing her own branch in nine months. Despite strong performance, she encountered barriers that led her to pivot toward her lifelong focus on language, communication, and human understanding. That shift ultimately led to the development of a new approach to AI governance—one that prioritizes human judgment, applies calibrated restraint, and ensures AI remains accountable rather than authoritative. With patents pending, Jaci is defining a new category of AI infrastructure centered on decision integrity, oversight, and trust.
• Northern Illinois University- B.S.
What do you attribute your success to?
I’ve been incredibly fortunate to have the right people show up at pivotal moments in my life. My husband, who is a scientist, has been my constant—he was the first person to tell me, “I like how you think,” at a time when I had lost confidence in my own voice. That validation gave me the foundation to take risks and start building again. Later, a strategic advisor recognized the potential in what I was creating and helped me step back and see it not just as good writing or intuition, but as something structured, valuable, and scalable. That shift—from expression to system—was critical, but beyond support and timing, I attribute my success to paying attention to something others were overlooking: not just what AI produces, but how it lands with people and influences decisions. I stayed with that insight even when it didn’t fit existing categories, and over time, that persistence became the foundation of what I’ve built.
What’s the best career advice you’ve ever received?
The best career advice I’ve ever received was simple: “I like how you think.” It came from my husband at a time when I had started to question my own voice. That one sentence gave me permission to trust my thinking again—not just in what I said, but in how I saw patterns, made connections, and interpreted the world around me. Instead of trying to fit into existing frameworks, I started following that way of thinking more intentionally. Looking back, that shift changed everything. It’s what allowed me to build something that didn’t exist yet—because I stopped trying to match what was already there.
What advice would you give to young women entering your industry?
My advice is to trust the way you think, even if it doesn’t look like what others are doing. Early on, it’s easy to assume success comes from fitting into existing paths—learning the language, following the playbook, doing what works for others. But some of the most valuable ideas come from seeing something differently and staying with that perspective long enough to build from it. Find people who recognize that in you. The right collaborators won’t try to reshape how you think—they’ll help you go further with it.
What are the biggest challenges or opportunities in your field right now?
One of the biggest challenges is helping people recognize that a new category is needed at all. Most AI efforts focus on improving outputs—but the real risk shows up in how those outputs are interpreted and acted on. The opportunity is that organizations are starting to feel that gap. There’s growing demand for systems that don’t just generate or filter content, but help preserve human judgment at the moment decisions are made. That shift—from generation to governance—is where I believe the next wave of AI infrastructure will be built.
What values are most important to you in your work and personal life?
The values that guide my work are clarity, integrity, and human-centered thinking. I care deeply about how things land—not just what is said, but how it’s understood, interpreted, and acted on. That perspective shapes how I communicate, how I lead, and how I design technology. At a broader level, I believe technology should support human judgment, not replace it. That belief guides both how I build and how I make decisions in my life.
