Case Studies

Real Results. Real Deployments.

Every project below is a production AI system generating measurable ROI. Not a prototype. Not a demo.

Healthcare88% patient satisfaction

AI-Powered Patient Operations for a Multi-Specialty Hospital

The Problem

A 200-bed multi-specialty hospital was struggling with a 30% no-show rate, average triage times exceeding 45 minutes, and an overwhelmed front-desk staff handling 2,000+ patient calls weekly. Patient satisfaction scores had dropped to 62%.

Our Solution

We deployed an integrated AI system that handles intelligent scheduling with predictive no-show prevention, automated multi-channel patient communication, NLP-powered triage routing, and clinical documentation assistance for physicians.

Technology Used

PyTorchCustom NLP modelsFHIR API integrationPostgreSQLAWS LambdaReact dashboard

Results

40% reduction in patient no-shows
Triage time cut from 45 min to 12 min
Patient satisfaction increased to 88%
60% reduction in admin workload
PropTech3x conversion

Intelligent Leasing for a 5,000-Unit Portfolio

The Problem

A national property management firm with 5,000 units was losing prospects to slow response times. Average first-response was 4+ hours. Conversion from inquiry to tour was under 15%.

Our Solution

We deployed an AI Sales Agent that responds to inquiries within 30 seconds via text, email, and chat. It qualifies prospects, schedules tours, handles objections, and syncs everything to the CRM.

Technology Used

GPT-4 fine-tunedTwilio APICustom NLU pipelineRedisNode.jsSalesforce integration

Results

3x lease conversion rate
Response time: 4 hours to 28 seconds
80% of inquiries handled autonomously
Leasing team capacity freed by 60%
FinTech$8M saved annually

Real-Time Fraud Detection for a Digital Bank

The Problem

A digital neobank was losing $12M/year to fraud while their rule-based system generated 40% false positives — blocking legitimate customers and damaging trust.

Our Solution

We built a real-time ML fraud detection pipeline with ensemble models, behavioral biometrics, and adaptive thresholds that learn from each decision.

Technology Used

XGBoost + Neural NetworksApache KafkaKubernetesFeature Store (Feast)Grafana monitoringPython + Go

Results

95% fraud detection accuracy
False positives reduced by 60%
$8M annual savings
50K transactions/second throughput
Retail28% basket increase

AI Personalization Engine for D2C Brand

The Problem

A D2C e-commerce brand with 500K+ monthly visitors had flat conversion rates and declining repeat purchases. Generic product recommendations weren't moving the needle.

Our Solution

We built a real-time personalization engine that serves contextual product recommendations, dynamic pricing, and personalized email campaigns based on behavioral signals.

Technology Used

Collaborative filteringReinforcement learningElasticsearchNext.js storefrontSegment CDPCustom ML APIs

Results

28% increase in average basket size
35% improvement in repeat purchases
12% uplift in conversion rate
Real-time personalization for 500K+ visitors

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