AuniConnect

Project Overview

AuniConnect emerged from watching HR teams manually copy and paste candidate information between their ATS (Applicant Tracking System) and HRIS (Human Resource Information System) dozens of times per week. This manual process wasn't just time-consuming—it was error-prone and created frustrating data inconsistencies.

The platform creates a seamless bridge between recruiting and HR operations, automatically syncing candidate data, maintaining real-time status updates, and ensuring that when someone is hired, their information flows perfectly from recruitment into employee records.

At the heart of AuniConnect is Aunikah, an AI-powered chatbot that acts as a 24/7 HR concierge. Employees can ask questions about benefits, policies, time-off balances, or company resources and receive instant, accurate responses—reducing the burden on HR staff while improving the employee experience.

Technical Implementation

Architecture & Technology Stack

Built with event-driven architecture using WebSockets and message queues to ensure instant updates across platforms. The platform uses a modular adapter architecture that makes it easy to add new ATS and HRIS integrations.

Aunikah, the AI chatbot component, leverages natural language processing to understand employee queries and provide contextual responses based on company policies, benefits information, and employee-specific data—all while maintaining strict data privacy and security standards.

Key Features

Data Integration:

• Bi-directional sync between ATS and HRIS platforms
• Real-time candidate status updates
• Automated offer letter to onboarding workflow
• Custom field mapping engine

Aunikah AI Chatbot:

• 24/7 instant responses to HR questions
• Policy and benefits information lookup
• Time-off balance inquiries
• Employee directory search
• Multilingual support
• Escalation to human HR staff when needed

Security & Compliance:

• End-to-end encryption for all data transfers
• Role-based access control
• GDPR and SOC 2 compliant
• Audit logging for all system actions

Challenges & Solutions

Challenge: Data Format Inconsistencies

Different ATS and HRIS platforms use vastly different data structures, field names, and formats. A "phone number" might be stored as "PhoneNumber", "Phone_Number", "Contact_Phone", or split across multiple fields.

Solution: Built an intelligent field mapping engine that learns from user configurations and suggests mappings for new integrations. The system includes pre-built templates for major platforms and allows custom mapping rules with validation.

Challenge: Real-Time Sync Without Overwhelming APIs

Maintaining real-time synchronization while respecting API rate limits and avoiding excessive polling that could impact system performance.

Solution: Implemented webhook-based updates where supported, with intelligent polling intervals for platforms without webhooks. Used Redis caching to minimize redundant API calls and queue-based processing to handle burst traffic.

Challenge: Training Aunikah to Provide Accurate Answers

Ensuring the chatbot provides accurate, company-specific information without hallucinating policies or giving incorrect guidance.

Solution: Built a hybrid approach using retrieval-augmented generation (RAG) that grounds all responses in actual company documents and policies. Implemented confidence scoring and automatic escalation to human HR when the system isn't certain of an answer.

The Impact

Beta companies using AuniConnect report significant improvements in both operational efficiency and employee satisfaction:

• 40+ hours saved per week previously spent on manual data entry
• 95% reduction in data entry errors and inconsistencies
• 68% decrease in basic HR inquiries handled by Aunikah
• Average 2-minute response time for employee questions (vs. 4-6 hours previously)
• 92% employee satisfaction rating for the chatbot experience

HR teams can now focus on strategic initiatives and complex employee needs rather than repetitive data entry and routine questions.