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AI Governance Is a Board Issue
If your AI program isn't getting the same scrutiny as your cloud or M&A strategy, you're flying blind.
After securing SEAR 1 events like the Super Bowl, one thing is clear: some risks are too complex to live in one lane. AI is quickly joining that category.
It’s not just a tech issue. It impacts compliance, reputation, data governance, business operations, and long-term trust.
In talking to some peers I’m finding that some orgs still treat AI governance like a side project — delegated, siloed, or reactive.
If your AI program isn’t getting the same scrutiny as your cloud or M&A strategy, you’re flying blind.
Boards are starting to ask smarter questions:
- What AI are we building or buying?
- Who owns the risk across its lifecycle?
- How does it align with our trust model?
AI governance isn’t optional. It’s a leadership issue.