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Space HR Knowledge Graph

The Connected HR Knowledge Graph

Space HR connects employees, payroll, performance, finance, AI, compliance, and every region and industry it supports into one queryable graph. Grounded by VeritasGraph, an open-source GraphRAG knowledge-graph framework, every AI answer — from the HR chatbot to payroll anomaly detection — carries a verifiable citation and reasoning path.

Entity Extraction

Typed HR entities — people, payroll, policies, regions — linked to their source data.

Relationship Mapping

Managed, reviewed, governed-by, located-in relationships across HR and finance.

Multi-Hop Reasoning

Answers that span employees, payroll, compliance, and regions in one query.

Live Interactive Diagram

How Space HR Connects People, Payroll, and AI

The core connects people, processes, AI, compliance, regions, and integrations — with clear entity and relationship labels.

work & self-servemanage & runapprove & reviewprocess payenforce rulesforecast costEmployeesHR AdminsManagersPayrollComplianceFinanceSpace HR Knowledge GraphHR DATA & AI INGESTION — EMPLOYEES, PAYROLL, POLICIES & AI FLOW INTO THE GRAPH
PeopleCore ProcessesCompliance & Coverage

Hover or use Tab on an entity to trace its relationship to Space HR.

Core Concepts

A Connected Graph for HR Operations

HR data becomes a connected graph through three capabilities — so one query reaches across payroll, performance, finance, and compliance.

Entity Extraction from HR Data

VeritasGraph parses policies, payroll runs, org charts, and appraisals to extract typed entities — employees, roles, departments, pay codes, amounts, dates, and compliance rules — each linked to its source passage.

Relationship Mapping Across HR

Entities connect through typed relationships — manages, reviews, governed by, located in, integrated with — each edge carrying its source record and extraction confidence.

Multi-Hop Reasoning for HR Decisions

Queries traverse multiple edges to answer complex questions — which employees a policy affects, which appraisals are due, which rules a region requires — revealing connections keyword search misses.

HR Data / Ingestion Layer

From HR Data to a Connected Graph

Workforce data flows into the graph through a five-step ingestion pipeline.

01

HR Data Sources

Payroll runs, org charts, leave and attendance, appraisals, policies, tax tables, and integrations stream in automatically.

02

Normalization & Typing

Employees, roles, departments, pay codes, policies, regions, and industries become standardized, typed entities.

03

Entity Extraction

People, amounts, dates, clauses, and compliance rules are linked to the exact source record or document.

04

Graph Construction

Entities and their relationships — manages, reviews, governed by, located in, integrated with — merge into one queryable graph.

05

Continuous Sync

New hires, payroll cycles, policy updates, and approvals trigger incremental updates without full reprocessing.

AI Intelligence

What the Graph Powers

The same graph drives the AI chatbot, payroll auditing, optimization, and prediction.

AI HR Chatbot

24/7 answers for leave, payroll, and policy questions — grounded in the graph with source attribution. Resolves 95% of queries instantly, cutting HR tickets by 70%.

Payroll Anomaly Detection

The AI Payroll Auditor flags gross-to-net, FUTA/FICA, and NACHA file errors before a pay run — reducing payroll errors by 99%.

Cost Optimization

12-month labor-cost forecasts at 95% accuracy feed budgets, so finance and HR can model headcount scenarios and track variance.

Predictive Workforce Analytics

Attrition prediction links people data, departments, and history to surface retention risk before it becomes costly.

Performance Coaching

Appraisals, goals, and 360-degree feedback give managers and HR the context for stronger reviews and development plans.

Workforce Forecasting

Headcount, overtime, and labor-demand scenarios come from graph-connected trends — so leaders plan hiring and shifts with real data.

Relationships & Multi-Hop Reasoning

Answers That Span the Graph

Real Space HR questions that hop across entities to reach an answer — not keyword matching.

Which employees are affected by a specific payroll policy?

Payroll Policy → Payroll Records → Employees

governed byapplies to

The graph hops from the policy to the payroll records it governs, then to every employee those records cover — showing who is affected before a change is made.

Which departments have increasing labor costs?

Departments → Labor-Cost Forecast → Budget Variance

incurscompares to

Multi-hop reasoning joins departments to their 12-month labor-cost forecast and budget variance, surfacing which teams drive spend.

Which employees are due for performance reviews?

Employees → Appraisals → Review Status

enrolled indue on

Managers get one list of employees whose appraisals are due, with goals, prior feedback, and approvers attached to each record.

Which compliance rules apply to employees in a specific country?

Country → Compliance Rules → Employee Work Location

sets rules forapplies at

The graph returns the applicable payroll and privacy rules — FUTA, PAYE, WPS, CPF, or GDPR — for every employee in that region.

Which training courses are assigned to employees in a particular role?

Role → Course Assignment → Employees

requiresassigned to

Leaders can see which Learning Center courses attach to a role and which employees are enrolled, completed, or overdue.

Compliance & Global Coverage

Payroll and Data Compliance, by Region

The region node carries the compliance rules Space HR supports — so payroll, tax, and privacy follow the employee, not the other way around.

FAQ

Space HR Knowledge Graph — FAQs

Everything you need to know about how Space HR connects your workforce data.

What is the Space HR Knowledge Graph?+
A structured model of everything connected to your workforce — employees, HR administrators, managers, executives, payroll, performance, finance, learning, the AI chatbot, self-service, analytics, compliance, industries, regions, integrations, and HR documents. Typed relationships link these entities so Space HR and its AI answer questions across the whole organization in one place.
What relationships does the Space HR Knowledge Graph connect?+
The graph uses typed relationships like employees who use self-service and ask the AI chatbot, HR administrators who manage payroll, supervisors who review performance, payroll that follows compliance rules, regions that set payroll rules, and integrations that sync the Space AI ecosystem. Each relationship links back to its source data.
How does Space HR's AI use the knowledge graph?+
The AI HR chatbot, AI Payroll Auditor, and workforce analytics all reason over the same graph. The chatbot answers leave, payroll, and policy questions with source-attributed citations; the AI Payroll Auditor flags gross-to-net and statutory withholding errors before a pay run; and analytics delivers 12-month labor-cost forecasts and attrition predictions.
Which countries and compliance rules are in the Space HR graph?+
The graph covers every region Space HR supports: the US (FUTA, FICA, state SIT/SUI/SDI, NACHA ACH, W-2/W-4, California pay transparency), the UK (PAYE, RTI to HMRC, NIC, pension auto-enrolment, IR35, UK GDPR), Dubai & the UAE (WPS, MOHRE, EOSB gratuity, DIFC/ADGM, ILOE), India (EPF, ESI, Professional Tax, TDS, statutory bonus, gratuity), Singapore (CPF, MOM-compliant payslips, Employment Act leave, IR8A), Canada (CPP, EI, provincial tax, Quebec rules, ROE, PIPEDA), and Europe (GDPR, EU data residency, Works Council workflows).
Which industries is the Space HR Knowledge Graph tailored for?+
Healthcare (nurse scheduling, credentialing), banking & finance (FCA SMCR, conduct risk), retail (rota scheduling, variable pay), manufacturing (factory-act compliance, shift scheduling), government (civil service compliance, pension schemes), and construction (site labour, BOCW, contractor workforce).
What integrations connect to the Space HR graph?+
Space HR connects to the Space AI ecosystem: PM Space AI, Space Sign, Space Capture, Space Lizit, Space Lean, Space Nexus, and Space CRM. Employee records, labor-cost forecasts, and payroll results flow across these products instead of living in silos.
Can the Space HR Knowledge Graph run on-premises?+
Yes. The graph is grounded by VeritasGraph, an open-source GraphRAG framework that can run on-prem or 100% local — keeping payroll and workforce data sovereign with zero data egress (GDPR, PDPA, and regional data-residency requirements).
Space HR Knowledge Graph

See Your Workforce as a Connected Graph
of People, Payroll, and AI

Ground every AI answer, payroll audit, and workforce forecast in one queryable knowledge graph — with source attribution, on-prem.