TAIGA started as a father–daughter conversation about what gets lost when systems scale

Co-founder, James Chollett, came to the U.S. as an immigrant and spent decades leading Fortune 500 program management, where execution, accountability, and operational discipline aren’t ideals, they’re survival skills. He learned how complex organizations actually run: how decisions get made, how risk hides in handoffs, and how small gaps become expensive failures.

His daughter and co-founder, Shelby Chollett, took a different route: a practitioner and researcher in human development focusing on regulatory frameworks, human-in-the-loop systems, and training methodologies that turn complex requirements into real behavior change. She has spent years studying how people, policy, and systems interact, and how compliance and innovations fail when humans aren’t designed into the process.

As AI adoption grew, they saw the same pattern: organizations were moving fast, governance was lagging behind, and the AI Gap was growing. Leaders didn’t have real-time visibility. Compliance teams didn’t have evidence they could trust. Employees were using powerful tools without shared standards for judgment, accountability, or risk. This led Shelby to identify, define, and develop frameworks around “The AI Gap”: the imbalance that forms when AI adoption scales faster than an organization’s ability to maintain human judgment, originality, and compliance-grade oversight.

So they built TAIGA, designed to bridge enterprise operations with evolving compliance requirements while staying human-centered. TAIGA’s dashboard gives global organizations real-time visibility into AI system compliance across complex regulatory landscapes, turning AI usage into measurable signals, clear accountability, and audit-ready evidence.

TAIGA wasn’t built to slow systems down. It was built so organizations can scale AI responsibly without losing control of quality, trust, or the human judgment that keeps systems resilient, evolving, and truly innovative.