AI use cases for Human Resources
13 documented implementations
Baylor University uses embedded AI to raise payroll data validation efficiency 65%
Baylor University combined Oracle Fusion HCM Analytics with Oracle Payroll Activity Center, using new AI-enabled capabilities as part of its payroll automation transformation. The change delivered a 65% increase in payroll data validation efficiency and a 49% reduction in payroll processing time.
Tamilnad Mercantile Bank uses agentic AI to automate finance, HR, and customer service
Tamilnad Mercantile Bank unified finance, HR, sales, and customer service on Oracle Fusion Cloud Applications, chosen for embedded agentic AI capabilities. Expense management, customer service, and payroll are now fully automated, and employees handle twice as many service requests in half the time.
Navy Federal Credit Union uses embedded AI to accelerate goal-setting, lifting goals per employee 58%
Navy Federal Credit Union adopted Oracle Fusion Cloud Talent Management, including an AI-powered talent advisor agent that gives managers insights for promotions and career development. Embedded AI automatically generates detailed goals and success criteria from simple input, increasing the average number of performance goals per employee by 58% and growing employees with development goals by 125%.
Hearst uses embedded AI for invoice recognition, cash management, and supplier-payment decisions
Hearst launched Project UniFi to standardize finance, HR, and procurement on Oracle Fusion Cloud Applications, consolidating 19 general ledgers into one chart of accounts and accelerating financial close by 66%. Hearst uses automation and embedded AI to support invoice recognition, cash management, and supplier-payment decisions; intelligent payments help identify suppliers eligible for early-payment discounts across 40,000 vendor relationships.
Caesars Entertainment applies embedded AI to finance and HR workflows
Caesars Entertainment consolidated 650 applications onto Oracle Fusion Cloud Applications and applies embedded AI across finance and HR. In HCM, AI features support performance reviews, development plans, and goal setting. In finance, AI assistants explain performance variances, compare narratives over time, and identify anomalies or biases so teams spend less time on transactions and more time on insight.
Boise State University Champions Continuous Innovation with Oracle Fusion Cloud ERP
Boise State University migrated its ERP and HCM systems to Oracle Fusion Cloud Applications, eliminating disruptive upgrades through a continuous, quarterly-release model. The university is now exploring embedded AI capabilities within Oracle Cloud Applications to strengthen decision-making, including generating real-time performance insights and reports and summarizing employee check-ins into annual performance reviews.
Spectrum boosts HR productivity with AI in Oracle Fusion Cloud HCM
Spectrum (Charter Communications), serving a 92,000-person workforce, built an AI-native HR experience called AskHR on top of Oracle Fusion Cloud HCM, using Oracle AI for HCM and Oracle AI Agent Studio. The company rolled out three custom AI agents that let employees get answers to HR queries conversationally, help managers see team data without running reports, and use generative AI to draft and refine performance goals, increasing goals set per employee and improving goal quality.
City of Lohja creates chatbot to power document insights with Oracle AI solution
The Finnish city of Lohja, working with Oracle partner Miracle Finland Oy, built an internal support chatbot using OCI Enterprise AI, Oracle Autonomous AI Lakehouse, Oracle AI Vector Search, and Oracle Graph. The chatbot connects large language models to analyze internal documents and extract entities such as projects, decisions, and people, combining graph and vector queries to answer approximately 85% of HR and ICT helpdesk support questions.
Transforming the Banking Experience with AI
IndusInd Bank migrated to the Databricks Data + AI Platform to build a unified enterprise data platform integrating 1.5 petabytes of data across 44 business areas. Data insight delivery accelerated from 30 hours to 45 minutes or less, the platform supports over 1,200 reports and dashboards, and the enterprise-wide migration was completed in 15 months versus an originally scoped 2.5 years.
Lojas Renner Powers Retail AI Agents
Lojas Renner, Brazil's largest fashion retailer with over 20,000 employees, used the Databricks Data + AI Platform to build an AI agent factory. Using Delta Lake, Unity Catalog and Agent Bricks, it deployed an Internal Support Agent that automates HR and operational questions, a Labor Relations Agent serving over 430 users, an Executive Insights Agent, and Voice of the Customer Analytics, reducing response times, boosting agent retention and automating handling of most internal support calls.
Keeping Every Patient Healthier as Fast as Care Demands
Duly Health and Care, the largest multi-specialty physician-owned practice in the U.S., migrated from a 17-year-old SQL Server warehouse to the Databricks Data + AI Platform, unifying nearly 60 data sources including Epic and Workday via Delta Lake and Unity Catalog. Duly's data science team used MLflow and AutoML to build a hospital readmission prediction model, comparing Random Forest, LightGBM and XGBoost algorithms, trained on 100,000 historical patients and achieving a ROC AUC of 89.2%. The company also built a conversational "Physician Finder" tool integrated into its Epic workspace, and five Genie Agents (Patient, Provider, Finance, HR, Appointments) letting non-technical staff query live data in plain English. Duly reports a 29% drop in hospital readmission rates (14% to 10%), saving an estimated $4.5 million annually, a 30% reduction in data platform costs versus SQL Server, and roughly double the number of data projects completed in 2025 versus 2024 with the same headcount.
Attensi Uses the Power of AI to Reduce the Time It Takes to Develop Content by up to 95%
Norwegian gamified-training software company Attensi enhanced its Creator authoring tool and simulation training platform with generative AI built on AWS services including Amazon Bedrock, Amazon SageMaker, and Amazon EKS, plus AWS Partner Hugging Face. The AI features generate dialogue, tasks and minigames, translate text, and convert text to speech, cutting content-creation time by 90-95% with Creator's AI copilots. Attensi's aggregate customer data shows game-based training drives a 19% productivity increase, 5x faster time to competence, 85% knowledge-gap closure, 2.5x revenue growth, and 75% attrition reduction.
GoJob enhances recruitment capabilities with Mistral
Gojob, a French HR-tech platform specializing in temporary worker staffing that processes over 2 million applications and completes approximately 60,000 recruitments annually across Europe and North America, integrated Mistral Large into its recruitment platform on Azure. The GenAI recruiting assistant conducts real-time conversations with candidates to automate pre-qualification and initial candidate screening.

