People Analytics in the Age of AI
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Operating models, AI governance and adoption tactics that Finance will back.
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What do you want to learn about?
This session explores
- 2025 state of the function: operating model patterns (COE plus embedded partners, product mindset, decision services over dashboards).
- Capability shifts since 2023–24: data product management, UX and adoption telemetry, model risk and evaluation, privacy-by-design, Finance-literate partnering.
- Value from AI: manager assistance co-pilots, skills inference and mobility, listening at scale with bias checks and rollback.
- Governance that passes scrutiny: evaluation metrics, audit trails, explainability and defined rollback paths before production.
- Three decision areas that move the P&L: cost and productivity, future-ready capacity, culture and fairness.
- Operating model and service catalogue: intake → triage → product workflow, SLAs and adoption telemetry.
- Pilot → production checklist and watch-fors to navigate Impact and Innovation sessions.
Why this matters
Budgets are tight, scrutiny is high, and AI adoption is accelerating under evolving rules in New York and beyond. Boards want evidence that workforce decisions move the numbers – and that AI-enabled workflows are auditable, safe and reversible. People Analytics leaders must align with Finance, scale governed products, and prove adoption and impact week by week.