Put AI Governance in Place Before You Scale

Most AI pilots operate in a grey zone: limited data, a small group of enthusiastic users and informal oversight. That is fine for learning. It is not fine for production, where models will touch customer records, financial data and regulated processes.

Controls to agree up front

• Data classification: what may and may not be sent to which model.
• Access and identity: who can use which AI capability, with what permissions.
• Logging and audit: retaining prompts, outputs and decisions for review.
• Human oversight: where a person must approve before an AI output takes effect.
• Incident response: what happens when a model behaves unexpectedly.

Governance done early is an accelerator, not a brake. It gives security and legal teams the confidence to say yes.