Case Studies
Real-world transformations driven by precision, integration, and intelligence.
Tier-1 Global Bank: Fraud Detection Engine
FinanceThe Challenge
A top-tier financial institution was losing $150M+ annually to sophisticated, cross-border transactional fraud that legacy rule-based systems failed to catch.
Our Solution
We deployed a real-time Deep Learning Fraud Engine that analyzes 50,000+ transactions per second, utilizing behavioral biometrics and anomaly triangulation.
Key Outcomes
- ✓99.7% detection accuracy vs. 82% legacy
- ✓$120M annual loss prevention realized
- ✓False positives reduced by 64%
- ✓Seamless integration with mainframes
Global Airline: Fleet Predictive Maintenance
AviationThe Challenge
A major international carrier faced $400k/hr costs for AOG (Aircraft on Ground) incidents due to reactive maintenance schedules and component failures.
Our Solution
We integrated IoT sensor streams from 200+ aircraft into a Unified Predictive Model, forecasting part failures 300 flight hours in advance.
Key Outcomes
- ✓42% reduction in AOG incidents
- ✓$58M operational savings in Year 1
- ✓95% on-time performance reliability
- ✓Maintenance crew efficiency up 35%
National Grid: Smart Energy Distribution
EnergyThe Challenge
A national energy provider struggled to balance intermittent renewable inputs (Solar/Wind) with peak urban demand, causing grid instability.
Our Solution
We built an Autonomous Grid Nerve Center using Reinforcement Learning to dynamically route power and optimize battery storage in real-time.
Key Outcomes
- ✓30% efficiency gain in load balancing
- ✓Zero blackouts during peak summer load
- ✓25% reduction in carbon footprint
- ✓Seamless renewable integration
Retail Giant: Omnichannel Personalization
RetailThe Challenge
A Fortune 500 retailer had fragmented customer data across online/offline channels, leading to irrelevant marketing and low conversion.
Our Solution
We unified 50M+ customer profiles into a 'Golden Record' Customer Data Platform (CDP) powered by predictive propensity modeling.
Key Outcomes
- ✓45% uplift in cross-channel engagement
- ✓28% increase in Average Order Value (AOV)
- ✓Inventory waste reduced by 18%
- ✓Sub-second personalization latency
University Network: Adaptive Learning Core
HealthcareThe Challenge
A multi-campus hospital network struggled with uneven patient outcomes and resource bottlenecks in their ER departments.
Our Solution
We implemented an AI Triage & Resource Allocator that predicts patient influx and optimizes bed/staff assignment instantly.
Key Outcomes
- ✓ER wait times reduced by 3.5 hours
- ✓22% increase in patient throughput
- ✓Diagnostic accuracy improved by 15%
- ✓Staff burnout indicators down 40%
Auto Manufacturer: Zero-Defect Production
ManufacturingThe Challenge
An automotive OEM faced costly recalls due to microscopic weld defects that manual inspection frequently missed.
Our Solution
Our Computer Vision Quality System (CVQS) uses high-speed cameras and edge AI to inspect 100% of welds in real-time with micron-level precision.
Key Outcomes
- ✓99.98% defect detection rate achieved
- ✓Total elimination of weld-related recalls
- ✓Inspection throughput increased 4x
- ✓ROI achieved in under 4 months
Client Testimonials
Integratus AI didn't just give us software; they rebuilt our operational DNA. The fraud detection engine paid for itself in six weeks.
Sarah Johnson
CIO, Global Financial Services
Fortune 100 Bank
The predictive maintenance accuracy is frighteningly good. It's changed how we schedule our entire fleet, saving us millions.
Michael Chen
VP of Engineering & Ops
Star Alliance Carrier
True holistic transformation. They unified distinct data silos into a single source of truth that powers our entire retail strategy.
Elena Rodriguez
Chief Digital Officer
Global Retail Conglomerate
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