Unily CEO explains why AI adoption depends on trust, not just tech

Unily’s research shows 52% of employees lack known AI policies, while others risk entering sensitive data into unauthorized tools. Singh advocates for dynamic governance frameworks that adapt to risk levels—allowing AI to handle low-stakes tasks (like scheduling) but requiring human oversight for high-consequence actions (e.g., financial approvals). He also warns against fragmentation, urging organizations to centralize trust and orchestration layers to unify disparate AI tools. Success, he says, depends on measuring outcomes—not just usage—such as time saved, error reduction, and employee satisfaction tied to business impact.