WORKFORCE CONTEXT ENGINE
The pre-built infrastructure behind trusted workforce context
Continuously unifying, modeling, enriching, and governing your workforce data. Every agent, application and workflow gets time-aware, permission-aware context.
Cleaner data won’t fix a broken foundation.
Your workforce data lives in systems that were never designed to work together. Every HCM migration breaks reporting. AI queries hit different systems and come back with different answers.
Most organizations try to solve this with a data warehouse and a BI layer. It works until the data changes or two people get different answers to the same question. And every new AI use case means solving the same data and governance problems all over again.
People Data Unification
A unified layer, so AI never works from fragmented context
Pre-built connectors unify and enrich data across HCM, payroll, ATS, talent, and data warehouses into one governed layer. Reorgs, acquisitions, field changes, system migrations, all handled at ingestion so nothing breaks downstream.
The same person across five systems becomes one record. Timeline-accurate from hire to retire, continuously reconciled as source data changes.
Workforce Semantic Modelling
Shared definitions, so AI gets it right in context
The same workforce measure can mean different things depending on the context: which populations to include, which organizational structure to use, and which time period to measure. The right result depends on who’s asking and why.
Visier’s semantic model resolves this once. 2,000+ workforce definitions, each encoding decisions about criteria, time, and scope. Bi-temporal modeling tracks when changes happened and when they were recorded. Retroactive corrections are handled automatically. 250M+ benchmark data points enrich that context for every agent.
Governed Context Delivery
Governed once, so every AI agent inherits the rules
Permissions are evaluated at query time: who's asking, what they can see, which org structure applies, what time period is in scope. The same governance applies to dashboards, Vee, MCP, APIs, and data warehouse connectors.
When you add a new AI agent or delivery channel, governance is already there. No per-channel security build. No separate governance project.
Learn more about the Visier Context Engine
White PaperBeyond Clean Data: Why AI Needs Workforce Context
You don't just need clean data. AI projects fail because they are missing four elements of workforce context.
Published:
Webinar
The Workforce Context Engine in Action: Making AI Trustworthy at Scale
Governed, secure, makes IT happy
