Topic
Governance & risk
Practical controls for AI at work: who approves what, what gets logged, and how to keep people accountable.
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Write an AI policy your team will actually read
Most AI policies are long and ignored. Here is a one-page version that sorts your data into three tiers and tells people what they may paste where.
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Test an AI tool on your own work before you buy
Every AI demo works. Here is a one-afternoon test, using twenty of your own cases, that shows how a tool behaves on a normal Monday.
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Where to put the human in an AI workflow
Approving every AI draft sounds safe. In practice, reviewers stop reading. Here is how to design review points people can actually keep up with.
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