WTW Launches Rewards AI for Faster, Smarter Compensation Decisions
WTW introduced Rewards AI, a Generative AI-enabled tool built on the company's proprietary rewards datasets. The goal is straightforward: help HR and compensation teams move from raw data to confident decisions without slowing down the cycle.
By pairing trusted survey data with a human-led approach and machine assistance, Rewards AI cuts the time spent on manual analysis and one-off requests. It aims to turn questions into clear answers you can back up in a comp meeting.
What HR Can Do With Rewards AI
- Market pricing in minutes: benchmark roles, set pay ranges, and compare offers against current market data.
- Pay equity checks: flag gaps by location, job family, or level, then support remediation with traceable logic.
- Merit and budget planning: stress-test scenarios, model range moves, and forecast spend before you lock allocations.
- Offer guidance: pressure-test proposed comp against internal equity and external data to reduce back-and-forth.
- Compression watch: surface hotspots after hiring spikes or re-leveling so you can act before the review cycle.
Conversational, Explainable, Audit-Ready
Rewards AI uses a conversational interface, so you can ask questions in plain language and get specific answers. Every output ties back to source data to maintain trust, auditability, and context for your leaders and auditors.
"Rewards AI represents a significant leap forward in how HR and compensation professionals can leverage complex data," said Michiel Klompen, global data science leader, Work & Rewards, WTW. "We've combined WTW's unparalleled data integrity with pioneering Generative AI to provide a solution that simplifies data analysis and empowers our clients to transform insights into actionable strategies with speed and confidence. This is a new way to deliver rewards intelligence, making it possible for all organizations to make informed decisions, quickly."
"In today's dynamic market, the ability to quickly understand and respond to compensation trends is very important," said Sambhav Rakyan, global leader, Rewards Data and Compensation Software, WTW. "Rewards AI moves beyond surface-level insights, offering a transparent and intuitive way to explore rewards data, uncover opportunities, and make decisions that are strategic and grounded in reliable information."
Why This Matters for HR
Compensation decisions live under more scrutiny than ever-from boards, finance, and employees. Tools that keep an audit trail and show their work can lower risk while speeding up cycle time.
If your team relies on spreadsheets and ad hoc queries, a conversational layer on top of vetted survey data can save hours and reduce rework. The transparency helps with compliance and trust. For broader AI governance guidance, see the NIST AI Risk Management Framework. For market context, the Bureau of Labor Statistics OEWS data remains a useful public baseline alongside professional surveys.
Practical Ways to Pilot Rewards AI This Quarter
- Pick one decision area (e.g., ranges for critical roles or an equity refresh) and run it through the tool end-to-end.
- Standardize your prompts: define titles, levels, locations, and skills up front to keep answers consistent.
- Validate outputs against your current survey sources and comp philosophy; document any differences.
- Share result snippets and data lineage in leadership reviews to build confidence and shorten approvals.
- Set access rules and naming conventions so your team creates reusable, traceable work.
Fit With Your HR Stack
Expect the most value when Rewards AI sits alongside your core surveys, HRIS, and talent data. Clear job architecture, clean locations, and up-to-date ranges will improve the quality of the answers you get.
If you're planning a broader AI upskilling program for HR, browse role-based options at Complete AI Training to help your team build prompt fluency and evaluation skills.
Bottom line: Rewards AI brings speed, clarity, and traceability to compensation work. If your team is stretched thin during pricing, planning, or offers, this is a practical way to get to defensible answers faster.
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