This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

AI-Driven Employee Engagement and Performance Management Platform

artkai.io

Energy & natural resources

Challenges in Employee Engagement and Performance Management

Enterprise HR struggles with low employee motivation, difficulty tracking skill development, and inefficient performance management processes. HR managers need better visibility into KPIs and tools to identify improvement areas, while employees require personalized growth opportunities and tangible rewards for achievements.

About the Client

A US-based oil and energy company with 10,000 employees seeking to enhance workforce engagement and performance through AI-driven solutions

Strategic Goals for HR Platform Modernization

Develop AI-powered HR platform with minimum viable product (MVP) approach
Implement intelligent performance tracking and predictive analytics
Create gamified reward system with IoT integration
Enable seamless calendar integration for meeting scheduling
Establish scalable architecture for future AI feature expansion

Core System Capabilities

AI-powered KPI analysis with trend prediction
Automated meeting scheduler with calendar integration
Gamification framework with points-based reward marketplace
IoT-enabled achievement tracking via wearable devices
360-degree feedback and career development pathways

Technology Stack Requirements

Node.js/Nest.js for backend microservices

Python for AI/ML components

React.js with Next.js for frontend

AWS cloud infrastructure (Lambda, S3, RDS)

PostgreSQL for relational data

System Integration Needs

Corporate calendar systems (Outlook/Google Calendar)
IoT device APIs (wearables/smart devices)
Third-party reward fulfillment platforms
Enterprise identity providers (SSO/SAML)

Operational Requirements

Horizontal scalability for 10K+ users
Real-time analytics dashboard performance
Enterprise-grade data encryption and compliance (GDPR)
High availability (99.9% uptime SLA)
Modular architecture for feature expansion

Anticipated Business Outcomes

Expected to increase employee engagement scores by 40% through gamification mechanics, reduce HR administrative workload by 35% via AI automation, and improve talent retention through personalized development pathways. The solution will provide actionable workforce analytics while maintaining scalability for future AI capabilities in 2024 roadmap.