Session
From HR Systems to an AI Knowledge Layer: Reinventing Workforce Self-Service
Helping people ask workforce questions without first becoming experts in the systems behind the answers.
PAWorld26 NYC · 4–5 November 2026 · New York City
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– · Work Design
About this session
Employees and managers often know the question but cannot navigate the systems behind an answer. Sunil Meharia explores the development of an AI-assisted knowledge layer: how information sources connect, what repeated testing reveals and how permissions and human checks support reliable self-service. Understand the practical choices and limitations to consider when making workforce information easier to access.
Learning outcomes
- Identify a self-service problem that a knowledge layer could address.
- Specify a test of answer quality or access control.
- Distinguish demonstrated implementation evidence from an unproven benefit.
This session will explore
- Connecting information sources for workforce self-service.
- Testing answer quality and understanding source limitations.
- Permissions, human review and the boundaries of an AI-assisted knowledge layer.
Context
Employees and managers often know what they need to ask but cannot navigate the systems that hold the answer. Connecting those sources through AI raises practical questions about accuracy, access and responsibility.
Speakers and contributors
Sunil MehariaPresenterDirector, Workforce AnalyticsParamount