AI‑Ready Total Rewards – Product Model, Equity Checks, Manager UX
How to productise rewards with guardrails and deliver measurable value fast
Thursday, October 16, 2025
Track
Innovation
Total Rewards is shifting to a product discipline, where UX, data, and governance are managed together. This session walks through a practical operating model – owners, backlog, measures – and two high‑impact patterns: streamlining annual and mid‑year planning to save thousands of hours, and moving pay‑equity checks into manager decisions. Expect concrete metrics, explainability artefacts, and a 90‑day pilot you can execute.
This session will explore
- Rewards as a product – operating model, roles, intake, backlog, and metrics linked to utilisation and outcomes.
- Manager UX instrumentation – the two‑click rule, click‑depth and time‑to‑complete, and a one‑page business case per change.
- Streamlined annual and mid‑year planning – mapping comms and trainings, deduplication, and the hours‑saved measurement method.
- Pre‑decision pay‑equity checks – nudges and constraints, minimal viable analytics, and audit‑by‑product logging.
- Governance and explainability – data sheet, model card, decision log, and human‑in‑the‑loop checkpoint Rewards can own.
Learning objectives
- Implement a Rewards product operating model with clear ownership, backlog, two‑click UX measures, and value tracking.
- Redesign planning‑cycle comms and training to remove waste and cut coordination hours.
- Shift pay‑equity analytics left into manager decisions with minimal viable controls and auditable logs.
- Set explainability and governance standards Rewards can defend to boards, regulators, and auditors.
- Sequence a 90‑day pilot with success metrics: cycle time, click‑depth, rework and defects, equity flags, and adoption.
Rosana El Sayed
Executive Director · JPMorgan Chase & Co.
Why this is on the agenda
AI‑enabled workflows and rising scrutiny of pay equity mean Rewards must prove value and fairness at every decision point. Fragmented comms and opaque models create waste, risk, and poor adoption. Product‑grade UX, instrumentation, and explainability give leaders the evidence to reduce cycle time, protect trust, and satisfy oversight.