Topic Cluster
Governance and policy
Operating posture and policy artifacts that keep AI work safe and fast.
4 articles in this cluster.
Part of the fuller People Ops AI: the guide for People and HR teams pillar →
Define the boundary before deployment
Identify what data a workflow may read, which actions it may take and which decisions require a person. Write a stop condition for missing or conflicting information. These articles turn policy into checks operators can use, rather than a document nobody consults during the work.
Make policy maintainable
Give each approved source and review rule an owner. Log exceptions and check whether the policy still matches the workflow as it changes. The governance category collects the wider argument; this cluster is a practical route through boundaries, source hygiene and operating checks.
An AI policy blueprint for People teams
Most AI policies ban everything and get ignored by day two. Here is the one-page AI policy for People teams people actually use…
AI governance for People teams
AI governance for People teams is not a forty-page policy. It is four boundaries, a sign-off, and a log. Here is what to decide…
An AI enablement operating model for People leaders
Champions and licences are not a strategy. AI enablement is an operating model with three layers and a cadence. How People…
Measuring AI value in People Ops
Time saved is the vanity metric every function reports and no CFO banks. Here is how measuring AI value in People Ops actually…
Reading is one thing. Doing is another.
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