HR Knowledge AI | HR Automation

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Internal HR Knowledge Base with RAG

Searchable, AI-powered HR knowledge base handling common employee questions instantly.

HR automation case study featuring ai implementation and document processing.

-55%

HR Ticket Volume

90%

Instant Policy Answers

Minutes

Policy Update Speed

Overview

An international company needed a searchable, structured, always-up-to-date HR knowledge base powered by AI to handle common employee questions. The system reduced HR ticket volume by 55% and provides instant answers to 90% of policy questions.

Business Context

The international company with 2,000 employees across 12 countries faced a crushing volume of HR inquiries. The HR team received hundreds of tickets weekly asking the same questions about benefits enrollment, expense policies, parental leave eligibility, and visa sponsorship procedures. Policy documents were scattered across SharePoint sites, Google Drives, and outdated intranet pages — employees couldn't find answers even when documentation existed. Each country had different policies, but there was no easy way for employees to know which version applied to them. HR business partners spent over 60% of their time answering repetitive questions instead of supporting strategic talent initiatives.

How We Built It

We designed a RAG-powered knowledge system with intelligent document processing at its foundation. Python ingestion pipelines automatically extract content from HR policy documents in various formats — PDFs, Word documents, SharePoint pages, and Confluence wikis — converting them into structured chunks optimized for semantic search. Each document is tagged with metadata including applicable countries, employee types, effective dates, and policy categories. The vector store using Pinecone enables semantic search that understands intent rather than just keywords — an employee asking about 'time off for a new baby' correctly retrieves parental leave policies even if those exact words don't appear in the document. The Node.js backend with PostgreSQL manages user sessions, access controls, and query logging for analytics. Role-based filtering ensures employees only see policies relevant to their situation — a manager in Germany sees different content than an individual contributor in Singapore. The chat interface built with Next.js provides a conversational experience where employees can ask questions in natural language and receive accurate, sourced answers with links to the full policy documents. Azure AD integration provides single sign-on and automatically determines each user's country, department, and role for contextual filtering. The HR control panel allows policy owners to upload new documents, update existing content, and immediately see those changes reflected in the knowledge base without technical intervention. Analytics dashboards show trending questions, gaps in documentation coverage, and user satisfaction ratings.

Challenges

1

SOPs and HR policies fragmented across PDFs and folders

2

Employees repeatedly asked HR the same questions

3

Local regulations differed in each region

4

HR overloaded with repetitive requests

What We Delivered

RAG knowledge layer with semantic indexing

Role-based filtering (Manager, Employee, HR)

Chat interface for employees

Document viewer with version history

Localized answers for region-specific policies

HR control panel to upload policies and track searches

Tech Stack

Python ingestion pipelines, Pinecone/AstraDB, Node.js, PostgreSQL, Next.js, Azure AD

Tags

HRAI ImplementationDocument ProcessingWorkflow AutomationOpenAIRetoolAI Automation

Results

-55%

HR Ticket Volume

90%

Instant Policy Answers

Minutes

Policy Update Speed

Strategic Impact

HR ticket volume dropped by 55% within the first quarter, representing thousands of hours annually that HR business partners now dedicate to strategic initiatives rather than answering repetitive questions. The AI assistant provides instant answers to 90% of policy questions, with employees reporting high satisfaction with the accuracy and relevance of responses. Policy update speed transformed from weeks to minutes — when COVID-19 travel policies changed, HR could update the knowledge base immediately and employees had access to accurate information within moments rather than waiting for email announcements. The 12-country operation now has consistent access to localized policies, with the system automatically serving region-appropriate content based on user profiles. Search analytics revealed significant gaps in documentation that HR had not previously recognized, leading to the creation of new policy resources addressing common but previously undocumented questions. Employee self-service rates increased dramatically, with staff now preferring the instant knowledge base over waiting for HR ticket responses. The audit trail of all queries and answers provides compliance documentation showing employees were provided accurate policy information. HR leadership uses trend data to proactively address emerging concerns — when questions about a particular benefit spike, they can investigate and communicate before frustration builds. The platform scaled effortlessly during company growth, handling double the employee base without requiring additional HR headcount for inquiry support. The knowledge base has become the authoritative source of HR truth, with policy owners accountable for keeping their content current and accurate.

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