HR Knowledge AI | HR Automation
Back to Case StudiesInternal 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 Policy documents were scattered across SharePoint sites, Google Drives, and outdated intranet pages — employees couldn't find answers even when documentation existed.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
SOPs and HR policies fragmented across PDFs and folders
Employees repeatedly asked HR the same questions
Local regulations differed in each region
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
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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