Proven Results

Transformation Case Studies

Real modernization outcomes. Measurable business impact. Enterprise-scale delivery.

Fintech Startup · Payments & Lending

Fintech Platform Built for Scale

A seed-funded fintech building a digital lending and payments product needed a production-ready platform — fast. They had 6 months to launch before their next funding round.

The Challenge

Small founding team with strong domain expertise but limited engineering bandwidth. Needed a compliant, scalable payments and loan origination system without hiring a 20-person eng team.

What We Built

Designed and delivered a cloud-native lending platform with payment gateway integration, KYC/AML workflows, and a real-time risk scoring engine — all within a 2-month runway.

AI Layer

Integrated an ML-based credit risk model and transaction anomaly detection, giving the team investor-ready AI capabilities without a dedicated data science hire.

Outcomes

2 months

MVP to Production

Faster Than In-House

99.5%

Platform Uptime

Series A

Raised Post-Launch

Technology Stack

Node.js PostgreSQL Azure Kafka Redis Terraform

Retail & Commerce · Omnichannel

Omnichannel Commerce Platform

A national retail chain with 200+ locations needed to unify fragmented online and offline systems into a single intelligent commerce platform.

Business Challenge

Disconnected POS systems, e-commerce platform, and inventory management causing stock-outs, overselling, and poor customer experience across channels.

Modernization Strategy

Built a headless commerce platform with a unified data layer connecting all 200+ locations in real time, with AI-powered inventory optimization.

AI Enablement

Deployed predictive inventory AI reducing overstock by 40% and AI-driven customer personalization increasing average order value by 28%.

Business Impact

40%

Inventory Reduction

28%

Higher Order Value

200+

Locations Connected

2.5x

Sales Velocity

Technology Stack

Angular Node.js PostgreSQL Redis Azure ML Stripe

Enterprise SaaS · AI Automation

Enterprise AI Workflow Automation

A global professional services firm needed to automate 60% of manual back-office workflows to scale operations without proportional headcount growth.

Business Challenge

Manual document processing, data entry, and approval workflows consuming 40% of operational capacity, limiting growth and creating error-prone processes.

Engineering Approach

Built a multi-agent AI system using LangChain and Azure OpenAI, with custom orchestration layer connecting to 12 enterprise systems via secure APIs.

AI Enablement

Deployed 8 specialized AI agents handling document extraction, classification, routing, approval, and reporting — operating 24/7 without human intervention.

Business Impact

60%

Workflow Automation

85%

Cost Reduction

10x

Processing Speed

99.2%

Accuracy Rate

Technology Stack

LangChain Azure OpenAI Python FastAPI Azure Functions Cosmos DB

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