Enterprise AI & Process Automation

AI Intelligence Layer: Modernizing Enterprise Legacy Systems

Strategic Integration of Generative AI into a Global Logistics ERP

Industry Global Logistics & Freight
Engagement Enterprise AI Modernization
Key Service AI Product Engineering & LLM Systems
Timeline 16 Weeks to Production

The Challenge

A global logistics operator was encumbered by an aging enterprise ERP that required intricate SQL querying and manual record traversal. Field and operations personnel spent upwards of 30% of their day deciphering data across disparate silos, resulting in costly scheduling delays, carrier coordination friction, and human data-entry inaccuracies.

The AaryOM Solution

Rather than embarking on a disruptive, multi-million-dollar core ERP replacement, AaryOM engineered a non-invasive Custom AI Intelligence Layer. By deploying secure Large Language Model (LLM) agents connected to a private vector store and existing transactional APIs, staff interact with complex relational operational data using natural conversational commands.

Key Implementations

  • Conversational Operational Intelligence: Logistics coordinators query complex shipment states, carrier ETAs, and customs statuses via natural language rather than multi-table SQL queries.
  • Automated Document & Invoice Parsing: Asynchronous AI pipelines ingest, validate, and summarize thousands of unstructured freight bills and customs declarations daily with zero manual intervention.
  • Predictive Delay Analysis: Real-time anomaly detection models monitor carrier velocity and port congestion indices, preemptively alerting managers to potential supply chain bottlenecks.

The Architecture & Technology Stack

OpenAI GPT-4o API Python (FastAPI) AWS Lambda Pinecone Vector DB React.js PostgreSQL

The Results: A Measurable Transformation

40%

Increase in Operational Velocity

$120K

Annual OpEx Cost Reduction

95%

Reduction in Data-Entry Errors

Cloud Architecture & Cost Optimization

AWS Serverless Cloud Migration & 58% OpEx Optimization

Zero-Downtime Event-Driven Re-Architecture for a Multi-Tenant Enterprise SaaS Platform

Industry B2B Workflow & Enterprise SaaS
Engagement Cloud Modernization & DevOps
Key Service Event-Driven Architecture & IaC
Timeline 12 Weeks (Zero Downtime)

The Challenge

A rapidly scaling enterprise SaaS provider was burdened by a monolithic architecture hosted on provisioned EC2 clusters and relational database instances. Unpredictable tenant usage spikes repeatedly caused CPU throttling, database connection pool exhaustion, and intermittent 504 gateway timeouts. Furthermore, over-provisioned idle compute drove monthly AWS infrastructure expenditures beyond $8,500, while monolithic code releases required 3-hour scheduled downtime maintenance windows that breached customer SLA commitments.

The AaryOM Solution

AaryOM re-engineered the platform from the ground up into a resilient, event-driven serverless architecture on AWS. We decoupled transactional APIs using Amazon API Gateway and AWS Lambda, orchestrated event routing via Amazon EventBridge, and replaced static relational databases with Amazon Aurora Serverless v2 PostgreSQL paired with AWS RDS Proxy. High-frequency session data was migrated to Amazon DynamoDB with automatic TTL, and 100% of cloud resources were codified using Terraform Infrastructure-as-Code (IaC).

Key Implementations

  • Asynchronous Event-Driven Ingestion: Built high-concurrency event pipelines handling 15M+ events monthly, scaling dynamically to zero during low periods and eliminating idle compute costs.
  • Zero-Downtime Canary CI/CD Pipelines: Engineered automated blue/green canary deployments on AWS CodeDeploy, reducing release cycles from 3 hours to 4.5 minutes with automated health-check rollbacks.
  • Origin-Shielded Global Edge Distribution: Implemented Amazon CloudFront CDN with origin shield caching, offloading 64% of static and read-heavy queries from backend databases and delivering sub-85ms global latency.

The Architecture & Technology Stack

AWS Lambda Amazon EventBridge Amazon Aurora Serverless v2 Amazon DynamoDB Terraform (IaC) TypeScript / Node.js AWS RDS Proxy Amazon CloudFront

The Results: A Measurable Transformation

58%

Cloud OpEx Cost Reduction

99.99%

Production SLA Uptime

<85ms

P95 Global API Latency

Interactive Architecture Topology

Live System Topology & Telemetry Explorer

Click any architectural layer below to inspect latency SLAs, zero-trust security policies, and FinOps telemetry in real time.

Global Origin-Shielded Edge & CloudFront WAF

Sub-millisecond static and dynamic asset acceleration with DDoS mitigation

Amazon CloudFront AWS WAF CloudFront Functions Origin Shield
Latency Benchmark

< 15ms Edge Response (Global POPs)

Security Controls

AWS Shield Standard + Managed WAF Bot Control + TLS 1.3 Strict Ciphers

FinOps Impact

64% Backend offload rate reducing API Gateway & Lambda invocations

Architectural Pattern

Edge functions dynamically rewrite clean URLs & enforce geographic headers

Enterprise Spotlights & Specialized Engagements

FinTech High-Frequency Payment & Security Hardening

Architected a PCI-DSS Level 1 compliant tokenization pipeline and sub-second fraud detection microservice for a cross-border payments network. Processed over 200% transaction surges during peak retail cycles with zero checkout latency degradation and comprehensive audit compliance.

200% Surge Scaled | 0ms Degradation | PCI-DSS Compliant

Cross-Platform Enterprise Mobile MVP

Designed, engineered, and launched an iOS & Android enterprise workflow application utilizing Flutter and Firebase real-time data synchronization within 14 weeks, enabling the venture to secure institutional seed funding and onboard 25,000 active users in Q1.

14-Week Concept-to-Store | 25K+ Active Users | Institutional Seed Secured

Zero-Trust & Least Privilege by Default

We eliminate perimeter-only security models. Every service interaction is authenticated and authorized using identity-aware access boundaries, IAM role separation with short-lived ephemeral credentials, TLS 1.3 encryption at rest and in transit, and automated static secret scanning across CI/CD pipelines.

Decoupled Asynchronous Resilience

Failures must never cascade. We isolate stateful components using EventBridge, dead-letter queues (DLQ), and circuit breaker patterns. Downstream service degradation is gracefully contained rather than causing systemic platform outages, maintaining SLA guarantees under extreme load.

Deterministic Guardrails for Enterprise AI

Generative AI is probabilistic; enterprise operations require certainty. We wrap Large Language Models in strict schema validation, deterministic business rule constraints, retrieval-augmented grounding (RAG), and zero-leakage data isolation boundaries to ensure compliance and auditability.

Executive Architecture Guide

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