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Engineered Business Outcomes

Real enterprises. Real challenges. Measurable results. Each case study follows: Challenge → Strategic Intervention → Technology → Business Outcome → KPI.

FinTech Core Banking Modernization

Legacy Banking Platform Modernization for a Tier-2 Bank

Duration
18 Months

A Tier-2 bank with 1.2M customers was operating on a 15-year-old monolithic core banking system causing 8+ hours/week of downtime, 3-day loan approval cycles, and inability to launch new digital products. The bank was losing 800+ customers per month to neobanks.

RAS Inforays architected a phased strangler-fig migration to cloud-native microservices on AWS. We built a real-time data lake with AI-powered fraud detection, launched a mobile banking app with biometric authentication, and deployed an automated loan underwriting engine.

AWS Kubernetes Apache Kafka Python/ML React Native PostgreSQL
68%
Faster Transaction Processing
$2.4M
Infrastructure Cost Saved/Year
92%
Faster Loan Approvals
99.9%
System Uptime SLA
4.2x
New Customer Acquisition
Healthcare AI-Powered Patient Platform

AI-Powered Patient Engagement Platform for a Hospital Network

Duration
12 Months

A 12-hospital network with 180K annual patients faced a 24% 30-day readmission rate, physicians spending 4+ hours/day on documentation, and no proactive patient outreach system — resulting in poor HCAHPS scores and $8M annual penalty risk.

We deployed an NLP clinical documentation assistant integrated with Epic EHR, built a predictive readmission risk scoring model, and created an automated patient engagement app with personalized care reminders, teleconsult booking, and remote monitoring dashboards.

Azure AI Python/NLP FHIR APIs React Native Epic Integration TensorFlow
42%
Reduction in Readmissions
3.2x
Staff Efficiency Gain
$6.8M
Annual Penalty Reduction
91%
Patient Satisfaction Score
eCommerce Hyper-Personalization & Growth

Hyper-Personalization Growth Engine for D2C Retail Brand

Duration
9 Months

A ₹200Cr D2C fashion brand had a 0.8% website conversion rate, ₹1,800 CAC, and zero personalization across 14 marketing channels. The brand was losing to competitors with better digital experience and could not attribute revenue accurately across its marketing spend.

We deployed an ML recommendation engine using collaborative filtering, rebuilt the performance marketing stack with automated bidding and creative optimization, and implemented a unified Customer Data Platform with multi-touch attribution modeling across all 14 channels.

GCP BigQuery Segment CDP Python/ML Google Ads API Klaviyo Looker
290%
ROAS Improvement
55%
CPA Reduction
₹18Cr
Incremental Revenue
3.4%
Website Conversion Rate

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