Meet Our Team

Mary brings together a background in medicine with nearly a decade of hands-on leadership in urgent care operations. At ModernMD, she led initiatives in compliance, provider training, and EMR optimization across a multi-site network—always with one goal in mind: make systems better for the people who use them.

At TrizZ, she leads business operations, implementation strategy, and enterprise integration. Whether she's working through the details of a partner onboarding or redesigning a workflow to reduce burnout, Mary's focus is always the same: remove friction, improve outcomes, and make the work feel human again.

Mary is the kind of leader who rolls up her sleeves. She'll never ask someone to do something she wouldn't do herself—and she's probably already tried three ways to make it easier. Her approach is grounded in empathy and action: if something isn't working, she fixes it. If a system is slowing people down, she rethinks it.

She believes great design is quiet, useful, and intuitive—and that automation should support people, not replace them. Her commitment to clarity, kindness, and continuous improvement is woven into everything TrizZ builds.

Ayanami is a seasoned software leader with over 15 years of experience in AI, automation, infrastructure, and engineering team leadership. He's led cross-functional teams at startups and Fortune 50 companies, designing scalable systems that ship fast and last long.

As the primary system and process architect behind AYA, Ayanami designed the platform from the ground up. He brings deep expertise in automation, agent design, and machine learning—with a hands-on approach to building intelligent systems that solve real problems.

He and Mary founded TrizZ with a shared mission: to streamline the most broken parts of healthcare by applying smart automation and practical design. That shared obsession with efficiency drives every line of code and every implementation decision they make.

Ayanami leads with clarity, accountability, and a deep belief that well-built systems should empower people—not slow them down. He sees AI not as a tool to replace human capability, but as a way to augment it—enhancing what people can do, not eliminating their role in the process.