AI-Native HRIS

Part of the worlds-biggest-software-project initiative.

An open-source, AI-native Human Resources Information System that brings conversational HR, predictive workforce insights, and automated compliance to organisations underserved by today's commercial and open-source HRIS options.

AI-Native HRIS is a modern, self-hostable platform for managing core employee records, onboarding, time-off, and the broader employee lifecycle. It targets HR teams and people-ops leaders who need the polish and intelligence of Workday, Rippling, or HiBob without enterprise pricing or proprietary lock-in. The project synthesises a clean data model, open standards (SCIM 2.0, HR Open Standards), and AI assistance into a credible open-source alternative for SMB and mid-market organisations.

Why AI-Native HRIS?

Existing OSS options are dated and AI-blind. OrangeHRM and Odoo HR are the primary open-source incumbents but ship with Web 2.0-era UIs, no conversational assistant, and no predictive analytics — leaving a clear gap for a modern OSS HRIS.
Commercial HRIS pricing scales aggressively. Workday runs $40–$200/employee/year with 12–18 month implementations; Rippling can reach $25–$40/employee/month once IT and finance modules stack up. Mid-market buyers want a defensible alternative.
AI features sit behind enterprise paywalls. Workday Illuminate and Skills Cloud deliver natural-language HR queries and ML-inferred skills, but only at enterprise price points. SMBs and mid-market teams have no comparable option.
HR admin work is still manual. 20–30% of HR team time goes to answering routine policy and leave-balance questions, tracking I-9 expiries, and chasing onboarding tasks — work an AI-native HRIS can substantially automate.
Standards exist but are unevenly implemented. SCIM 2.0, HR Open Standards, and EEO-1 reporting are open standards; an AGPL-free, standards-first OSS implementation has room to win on integrations alone.

Key Features

Core HR Record & Self-Service

Unified employee record with custom fields, real-time org chart, and document storage
Employee self-service portal for profile updates, payslip access, and time-off requests
Manager self-service with team views, approvals, and performance notes
GDPR/CCPA-compliant data handling with right-to-erasure support built into the data model

Onboarding & Lifecycle Automation

Digital onboarding with e-signature, configurable task lists, and a new-hire portal
No-code workflow automation triggered on hire, role change, promotion, and offboarding events
AI-driven onboarding orchestration that adapts task lists based on role, location, and department
SCIM 2.0 provisioning hooks for zero-touch software and device access on hire and offboard

Time-Off & Compliance

Time-off and leave management with accrual policies, carryover rules, and approval workflows
Automated compliance tracker for document expiry, I-9 re-verification, and mandatory training
EEO-1 export support and architectural readiness for multi-jurisdiction labour law packs

AI-Assisted People Operations

Conversational HR assistant that answers natural-language questions about policies, leave balances, and the org chart, grounded in the employee's actual record
Predictive attrition scoring surfaced in HR dashboards with supporting evidence signals
AI-inferred skills tagging from job history and review text, with an employee confirmation step
Compensation equity reporting with statistical gap detection during merit cycles

Integrations & Identity

SCIM 2.0 user provisioning and SAML/OIDC SSO
HR Open Standards / HR-XML data interchange
REST API and event webhooks for downstream systems
Architectural hooks for native or partner-driven payroll engines (US first, international via EOR APIs)

AI-Native Advantage

Where incumbents bolt AI onto legacy data models, this project treats AI as a first-class layer over a clean HR record. A conversational assistant replaces UI navigation for the most common employee questions; predictive attrition and flight-risk detection turn dormant tenure, performance, and compensation data into early warnings 60–90 days before resignation; AI-driven onboarding orchestration adapts to role, location, and required system access rather than running a static checklist; and automated compliance monitoring eliminates a category of manual HR work around document expiry and policy re-signatures.

Tech Stack & Deployment

Deployment modes: self-hosted (primary), with optional managed cloud hosting for teams that prefer not to operate the platform
Open standards: SCIM 2.0 (RFC 7642–7644), HR Open Standards / HR-XML, SAML/OIDC, EEO-1 export format
Identity & integration: SCIM provisioning, REST API, webhook event bus
Compliance posture: GDPR Article 17 right-to-erasure modelled from day one; SOC 2 Type II and ISO 27001 alignment as enterprise readiness goals
Licence strategy: designed clean-room to avoid AGPL v3 copyleft constraints inherited from OrangeHRM and Horilla

Market Context

The global HR software market is estimated at USD $34.31B in 2026, projected to reach USD $89.12B by 2035 at an 11.19% CAGR (Business Research Insights), with the HRIS-specific segment at USD $12.45B in 2024 (Verified Market Reports). Mid-market commercial pricing ranges from roughly $3,400/month (BambooHR Pro at 200 employees) to $6,250/month (Rippling core + payroll), while Workday enterprise deals run from ~$120K/year upward. Primary buyers are HR managers at SMBs, people-ops leads at Series B startups, and CHROs at mid-market organisations seeking alternatives to per-employee module stacking.

Project Status

This project is in the research and specification phase.
Contributions, feedback, and domain expertise are welcome.

Contributing

We welcome contributions from developers, domain experts, and potential users. See CONTRIBUTING.md for guidelines.

Important: All contributions must be your own original work or clearly attributed open-source material with a compatible licence. Copyright infringement and licence violations will not be tolerated and will result in immediate removal of the offending contribution. If you are unsure whether a piece of code, text, or other material is safe to contribute, open an issue and ask before submitting.

Licence

Licence to be determined. See discussion for context.