I work with HR and People Teams to build AI programs that hold up in production. My focus is the work that often gets skipped: identifying the right use cases, designing the governance, deploying agents that handle edge cases gracefully, and training the teams who will rely on them.
HR AI Transformation Playbook is a practitioner's field guide for HR and People Teams building AI programs. The pieces people ask about most:
- 37 vetted HR AI use cases rated on impact, effort, and risk
- 29 structured evals for an HR Q&A agent, covering adversarial, sensitive, and escalation scenarios
- Agent design patterns drawn from production HR agent deployments
- AI use policy and risk assessment template designed to hold up to legal review
It is a living project, updated as I learn. Contributions are welcome.
AI use case prioritization. Responsible AI governance. Agent design and evaluation. HR team enablement. Most of the failures I've seen in HR AI come from skipping the detail work, not from picking the wrong model.
Humans make consequential employment decisions. AI may inform, not decide. Every automated workflow needs a clear path to a human. Governance built in, not bolted on.
Happy to talk HR AI, agentic workflows, and the practical realities of People Tech. Find me on LinkedIn.