Case Studies
Real deployments. Real numbers. No theoretical ROI — these are the outcomes our clients measured.
AI Agents Replacing a 6-Person Operations Team
BFSI — Global Financial Services
Challenge
A chargeback processing team of 6 was handling disputes manually — slow turnaround, inconsistent decisions, zero audit trail. Compliance risk was mounting.
What We Built
Deployed a multi-agent system with LangGraph orchestrating stateful workflows. Agents reason through chargeback policies, call external tools via MCP servers, and escalate edge cases through human-in-the-loop review loops. Entire system exposed via FastAPI middleware integrated into existing infrastructure.
Business Impact
- ✓35% improvement in processing accuracy
- ✓Replaced 6-person manual team entirely
- ✓Full audit trail — zero compliance escalations
- ✓End-to-end observability with LangSmith
Automated Document Intelligence for Financial Audits
BFSI — Audit & Compliance
Challenge
Teams manually extracting data from thousands of multilingual financial PDFs every month. Error-prone, slow, and impossible to scale during audit season.
What We Built
Built a Vision Language Model pipeline combining open-source VLMs with multilingual OCR on PyTorch. Documents go in, structured data comes out — audit-grade accuracy with zero human intervention. Integrated directly into the client's existing document management workflow.
Business Impact
- ✓90%+ extraction accuracy on financial docs
- ✓Zero manual intervention in production
- ✓Multilingual support across document types
- ✓Scaled from 100s to 1000s of docs/month
Cutting LLM Inference Costs by 35% at Scale
Enterprise SaaS — Production AI Platform
Challenge
Production LLM inference was burning through cloud GPU budget. Throughput couldn't keep up with request volumes during peak hours.
What We Built
Fine-tuned domain-specific models (Qwen, DeepSeek) using LoRA and QLoRA on AWS SageMaker. Applied GPTQ and AWQ quantization. Deployed vLLM inference on mixed GPU/CPU infrastructure with optimized batching, parallelism, and KV cache tuning.
Business Impact
- ✓3x throughput improvement
- ✓35% inference cost reduction
- ✓40% smaller model footprint
- ✓Zero accuracy degradation
Computer Vision Automating Retail Quality Control
Retail — Multi-Location Operations
Challenge
Manual quality inspections across retail locations were inconsistent, slow, and couldn't keep up with growing product volume.
What We Built
Built computer vision pipelines with YOLOv8 for real-time object detection and OpenCV for preprocessing. Integrated directly into inventory management and quality inspection systems. Fine-tuned Stable Diffusion models for domain-specific visual tasks.
Business Impact
- ✓92%+ detection accuracy
- ✓40% reduction in manual inspection time
- ✓Real-time detection at production scale
- ✓Deployed across multiple retail locations
Data Platform Processing Millions of Records Daily
Enterprise — Data Infrastructure
Challenge
Fragmented data sources, broken pipelines, and data quality issues crippling downstream analytics and business intelligence.
What We Built
Architected end-to-end data infrastructure — scalable ETL/ELT pipelines with Python, SQL, and Spark. Star and snowflake schema design. Automated orchestration with Airflow, Kafka, and dbt. Power BI dashboards surfacing actionable insights in real-time.
Business Impact
- ✓15% faster pipeline processing
- ✓20% reduction in data incidents
- ✓Millions of records processed daily
- ✓Real-time dashboards driving decisions
Your business could be next
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