Skills, AI & Transformation: A 2026 Playbook for People Analytics

Operating models, AI governance and adoption tactics that Finance will back.
Wednesday, October 15, 2025
Track
Plenary

This research-led opening sets the spine for the day – Impact and Innovation – and shows how high-performing teams structure People Analytics to create value Finance will sign. You’ll see what has changed since 2023–24: product-centred operating models, adoption telemetry, privacy-by-design and evaluation discipline. We’ll cut through AI hype with three governed use-cases that actually stick, then unpack three decision services that move cost, capacity and culture. Expect a pragmatic service catalogue pattern, intake-to-product workflow with SLAs, and a pilot → production checklist you can use immediately. You’ll leave with one decision to build – and one to retire.

This session will explore
  • 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.
Learning objectives
  • Identify the operating model and capabilities that correlate with high performance in 2025.
  • Select AI use-cases that are governable and measurable, with clear evaluation and rollback plans.
  • Translate productivity gains into capacity, cost and risk metrics that Finance accepts.
  • Frame three decision services that move the P&L, with inputs → logic → outputs, ownership and auditability.
  • Design a practical service catalogue with SLAs and adoption telemetry you can monitor weekly.
  • Apply a one-page pilot → production scorecard to guide evaluation, sign-off and hand-offs.

David Green

Managing Partner & Executive Director · Insight222

Why this is on the agenda

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.