Modernizing Board Oversight of AI Usage
There is a knowledge void in many boardrooms. Documentation on policies and frameworks exists; but if you were to inquire into what employees actually do using AI and other tools on any given Tuesday afternoon you may be empty-handed, as the majority of companies have no clue about what their employees are doing with AI.
What therefore does AI oversight maturity look like? Maturity of AI Oversight is much more than the way in which one’s policies or governance documents are constructed, it is about whether or not those policies and documented governance are actually present in daily operations. An AI policy that stored in SharePoint is an indication of “intent” or control at best, or no control at all, at worst.
Check out: Human + AI Leadership (The Leadership Pivot of 2026)
For example, a Customer Service department uses generative AI technologies to prepare customer responses. The Board of the company has likely approved several policies regarding the manner in which customer interactions should occur (tone/voice, privacy, and escalation), however; when the company is using AI, does the AI have the governance policies embedded within its code? Are the prompts being input to the AI restricted according to the policies; and will the outputs of the AI complete all of the required record keeping mandated by the policies? This is where AI oversight maturity begins.
That said, not every organization requires rigid controls, or implementations will create too much friction within the organization’s teams and cause teams to work around the AI system rather than utilizing it. The balance between controls and cooperation with governance can be a fine line. Therefore, governance should resemble guide rails to provide direction and behaviours rather than impediments to a team.
Finally, measurement must evolve, this means changing from “Do we have an AI Governance policy to “Where will the AI influence decisions and is this influence measurable?” Small but broad change. Operational evidence versus assertion or assumption must provide evidence of process completion and workflow.
