Case Studies
Real results from real implementations. See how organizations across industries are using AI to transform their operations.
* Sample scenarios based on industry workflows
Patient Intake Automation
Regional Medical Center reduces intake time by 70%
The Challenge
A 300-bed regional hospital was spending 45+ minutes per patient on intake paperwork. Staff manually entered data from forms, insurance cards, and referral documents into multiple systems. Errors led to billing delays and patient frustration.
The Solution
We deployed an AI-powered intake system using computer vision for document scanning and natural language processing for form interpretation. The system integrates with their existing EHR and automatically validates insurance information in real-time.
Technologies Used
Loan Document Review Automation
Community bank accelerates loan approvals by 60%
The Challenge
A regional bank was taking 3-5 business days to review loan applications. Loan officers manually reviewed hundreds of pages of financial documents, tax returns, and business plans. The backlog was causing them to lose deals to faster competitors.
The Solution
We built a custom AI system that extracts key data points from loan applications, analyzes financial documents, checks for completeness, and flags risk factors. The system provides loan officers with a comprehensive summary and risk assessment in minutes.
Technologies Used
Predictive Inventory Management
Online retailer eliminates stockouts and reduces overstock by 35%
The Challenge
A growing e-commerce company was struggling with inventory management. Frequent stockouts lost sales, while overstock tied up cash and led to markdowns. Their spreadsheet-based forecasting couldn't handle 10,000+ SKUs across seasonal patterns.
The Solution
We implemented a machine learning system that analyzes sales history, seasonal trends, marketing campaigns, and external factors to predict demand 30 days out. The system automatically generates purchase orders and alerts for anomalies.
Technologies Used
Social Media Monitoring for Public Engagement
City government improves citizen response time by 80%
The Challenge
A mid-sized city government needed to monitor social media for citizen concerns, emergencies, and feedback. Manual monitoring across multiple platforms was time-consuming, and many mentions went unnoticed. Response times averaged 48+ hours.
The Solution
We deployed an AI system that monitors social media platforms, categorizes mentions by department and urgency, detects sentiment, and routes issues to appropriate staff. The system provides real-time alerts for emergencies and weekly sentiment reports.
Technologies Used
AI-Powered Customer Support
SaaS startup scales support without headcount growth
The Challenge
A fast-growing SaaS startup was overwhelmed with support tickets. Response times were stretching to 24+ hours, and customer satisfaction was declining. Hiring more support staff wasn't sustainable given their burn rate.
The Solution
We fine-tuned an open-source LLM (Llama 3) on their product documentation, previous support tickets, and knowledge base. The AI handles tier-1 questions automatically and provides suggested responses for tier-2 issues. Complex issues are escalated to humans.
Technologies Used
Consistent results across industries
Our Value Sprint methodology delivers measurable impact regardless of industry or use case.
- Average ROI Timeline
- 4-6 mo
- Implementation Time
- 6-8 wk
- Average Annual Savings
- $350K