AI governance defines what a system is allowed to do, what information it may use, and when a person must remain responsible for the final decision. Through enterprise AI consulting, OST helps organizations establish approved use cases, prohibited actions, data-access rules, human-review requirements, escalation paths, user permissions, disclosure expectations, and accountability for AI-assisted outcomes.
Our AI consulting and implementation approach also considers how models and vendors are approved, how sensitive information is handled, which outputs must be recorded, and how policies should be reviewed as the system and regulations change. These controls are especially important when AI supports healthcare, education, public-sector services, financial processes, employee workflows, or customer decisions. Not every task should be fully automated, even when the technology makes automation possible.
By defining governance before development, organizations can introduce AI with clearer ownership, fewer avoidable risks, and better alignment between technical capabilities and business responsibilities.