AI agents for HR teams
HR is full of structured, repeatable work that slows down at scale — screening, onboarding, policy questions, review cycles. These guides cover the workflows worth automating, how to design them safely around employee data, and what to validate before anything goes live.
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AI agents for HR teams: what to build and where to start
Five HR workflows worth building as AI agents — CV screening, employee onboarding, policy helpdesk, performance review preparation, and offboarding. Structured, repeatable work that slows down at scale.
How to write a good AI agent role definition
A prompt tells an agent what to do. A role definition tells the system where one agent ends and another begins — critical when agents touch employee data or HR workflows.
One AI agent vs. many: how to decide
Start with one agent, split into multiple only when you have a specific reason: access control, a human gate, parallelism, or a context constraint. A practical decision guide.
Human in the loop and the autonomous agent problem
Why keeping humans in the loop matters even as agents grow more capable — and how to design gates that protect decisions involving people and employment.
How to test an AI agent before deploying it
Test AI agents across isolation, tool integrations, handoffs, failure modes, and human gates — before anything touches live employee data.
How to design AI agents: a practical guide
The six design decisions that determine whether an AI agent system works — applicable to every HR workflow from candidate screening to offboarding.