The challenge
Build a multi-tenant SaaS where every company’s data remains fully isolated, while adding an AI assistant that can answer with real employee information without leaking sensitive data to an external provider.
Project 01Completed
HR platform · Laravel · Vue 3 · AI · 2026
LaborIA®Registered trademark
A company was handling leave, meals and payslips across email, spreadsheets and messaging apps. Now its employees do all of it from a single app, and whatever they don’t know they ask an assistant that answers using the company’s own policies.
LaborIA brings together everything companies usually scatter across email, spreadsheets and messaging: leave, meals, work arrangements, health coverage, payslips and internal communications. It includes Bori, a conversational assistant that answers questions about company policies and each employee’s own data. Multiple companies use the platform while their information remains fully isolated.
Interactive demo
Try the app yourself
Sign in as a sample employee and actually use the platform: ask Bori a question, pick your meal and watch the dashboard update. No signup, no real data.
Simulation with fictional data. It does not connect to the real app or to any employee data.
Key features
- ✓Multi-tenancy with two independent isolation layers: Eloquent Global Scopes and PostgreSQL Row-Level Security
- ✓Bori, a conversational assistant using RAG over each company’s private knowledge base
- ✓Leave management with automatic business-day and annual allowance calculations
- ✓Weekly meal planning with vegetarian, vegan, gluten-free and lactose-free preferences
- ✓Remote-work scheduling with office capacity limits
- ✓Private payslip and medical certificate storage with malware scanning
- ✓Sensitive-data detection before content is sent to an AI provider
- ✓Installable PWA with push notifications and an audit trail
Project context
The approach
Isolation is enforced through two independent layers: an application-level Eloquent Global Scope and PostgreSQL Row-Level Security. The AI workflow uses hybrid semantic and lexical retrieval, bounded source context, monthly usage controls and sensitive-data detection before every request.
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