Pilot or Purgatory? Hard Calls on HR AI Projects
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Design, measure, and decide GenAI pilots to protect capacity and credibility.
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What do you want to learn about?
This session explores
- Pilot triage playbook – capacity-first gate with owner, baseline, 90-day metric, privacy and bias checks, and a viable funding path.
- Impact instrumentation grid – measure time-to-insight, rework and error reduction, policy adherence, adoption depth, and diffusion across teams.
- Governance handshake – who does what in the first 30 days and the artefacts that are table-stakes.
- Adoption patterns that stick – agentic assistants, prompt libraries, role-based access, workflow hooks, and visible logging.
- 90- or 180-day decision path – monthly huddles to invest, pivot, or stop based on credibility, capacity, and opportunity cost.
Why this matters
Executives expect visible AI progress without compliance surprises. HR and analytics teams must prove value that Finance believes, meet privacy and bias controls, and avoid zombie pilots that consume scarce capacity. Clear selection gates, compact metrics, and auditable governance make AI progress safer, faster, and more credible in regulated environments.