# Enterprise Case Studies & Operational Benchmarks - QuantZent

Empirical breakdowns of operational bottlenecks resolved, before-and-after performance metrics, and underlying technical architectures delivered for mid-market clients.

## Case 1: Mid-Market Fintech Cloud FinOps Audit & Migration
- **Client Profile:** Rapidly growing payment gateway provider processing 12M monthly transactions.
- **Operational Bottleneck:** Escalating AWS cloud expenditure exceeding $95,000 monthly due to unreserved compute over-provisioning, unattached storage volumes, and non-autoscaling EC2 clusters.
- **Architecture & Solution:** 
  - Executed a comprehensive two-week FinOps infrastructure audit.
  - Migrated stateful workloads to automated Kubernetes (Amazon EKS) clusters with Karpenter dynamic node autoscaling.
  - Implemented 3-year Compute Savings Plans for baseline loads and integrated Spot instances with automated failover for asynchronous batch processing.
- **Verified Outcomes:**
  - Cloud Expenditure: Reduced from $95,000/month to $58,900/month (38% direct reduction).
  - Infrastructure Reliability: 99.995% uptime during peak holiday transactional spikes.
  - Provisioning Velocity: Deployment cycle reduced from 45 minutes to 4.5 minutes via Terraform GitOps pipelines.

## Case 2: Enterprise JVM Modernization & Garbage Collection Profiling
- **Client Profile:** Regional logistics enterprise operating centralized dispatch software.
- **Operational Bottleneck:** Legacy Java 8 / Spring monolithic service suffering from periodic 120ms to 450ms Stop-The-World (STW) garbage collection pauses, causing API timeouts and carrier dispatch delays.
- **Architecture & Solution:**
  - Modernized codebase to Kotlin and Spring Boot 3 running on OpenJDK 21 with the Z Garbage Collector (ZGC).
  - Refactored heap allocation hotspots into zero-copy off-heap buffers using Netty and memory-mapped files.
  - Established automated JFR (Java Flight Recorder) continuous telemetry monitoring in Grafana.
- **Verified Outcomes:**
  - P99 Latency: Slashed from 340ms to under 8.2ms.
  - Maximum GC Pause: Reduced from 450ms to less than 1.5ms.
  - Compute Efficiency: Server instance count decreased from 24 EC2 nodes to 8 nodes, saving 66% in compute overhead.

## Case 3: Autonomous Agentic AI Invoice & Purchase Order Reconciliation
- **Client Profile:** Manufacturing conglomerate receiving 4,000+ monthly vendor invoices across 12 distinct vendor formats.
- **Operational Bottleneck:** Manual accounts payable team spent 14 working days per month manually entering invoice details, cross-checking against paper purchase orders, and discovering costly GST input tax credit (ITC) mismatches.
- **Architecture & Solution:**
  - Deployed an autonomous agentic multi-agent pipeline orchestrated with LangGraph and fine-tuned extraction models.
  - Agents autonomously validate vendor GSTIN against the government portal, extract line-item taxes, and perform 3-way matching against ERP purchase orders.
  - Exception routing alerts human controllers only when discrepancy exceeds configured confidence tolerances.
- **Verified Outcomes:**
  - Processing Cycle Time: Slashed from 14 days to under 4 hours per month (82% reduction).
  - Data Accuracy: 99.8% extraction precision across unstructured multi-page PDF invoices.
  - ITC Leakage: Eliminated over 1.4M INR in unclaimed input tax credits during Q1.

## Case 4: Enterprise Hardware Lifecycle Management & Cisco/Dell AMC
- **Client Profile:** Multi-branch commercial healthcare network with 6 facilities and 400+ endpoints.
- **Operational Bottleneck:** Frequent network switch downtime and unpatched server firmware causing sporadic medical records system outages; lack of unified hardware vendor support resulted in 48-hour recovery times.
- **Architecture & Solution:**
  - Consolidated infrastructure under a comprehensive QuantZent IT Annual Maintenance Contract (AMC).
  - Deployed standardized Cisco Catalyst core switches and Dell PowerEdge rack server clusters with redundant N+1 power supplies.
  - Configured Device-as-a-Service (DaaS) rotation schedule and continuous out-of-band monitoring via Dell iDRAC and Cisco DNA Center.
- **Verified Outcomes:**
  - Hardware MTTR: Reduced from 48 hours to guaranteed 4 hours on-site replacement.
  - Network Availability: 99.99% across all 6 clinical locations.
  - IT Operational Overhead: Reduced internal IT maintenance ticket volume by 74%.

Inquiries: hi@quantzent.com | Website: https://quantzent.com