AI Governance
The organizational structures, policies, and processes that determine how AI is used within a company — who approves new AI tools, what data can be used, how outputs are reviewed, who's accountable when something goes wrong. Without governance, AI use spreads unpredictably: different teams adopt different tools, nobody knows what data is being shared with vendors, and there's no process for incidents. Governance doesn't have to be bureaucratic — but someone needs to own these questions.
In practice
Six people in your company are building Claude integrations independently. AI governance is the set of rules that answers: who approves new use cases? Who owns it when something goes wrong? What data can be sent to the model? Without it, you have six different answers to those questions.
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