Enterprise Integration

Enterprise Connectivity
& Security

Integrating GenAI is not just about API calls. It requires Event-Driven Architectures, Zero-Trust Identity, and Hybrid Cloud Routing to securely connect models with legacy corporate systems.
Asynchronous Patterns

Event-Driven Architecture

Decouple your AI from user-facing apps to prevent timeouts. We implement Pub/Sub patterns (Amazon EventBridge / Kafka) where user actions trigger asynchronous inference jobs. This ensures your UI remains snappy even when the model is thinking.
  • Decoupled Microservices
  • Automatic Retries & DLQ

Event-Driven Architecture

Asynchronous Integration Pattern

Source System
SharePoint / ERP
Event Bus
Pub/Sub Topic
AI Processor
Serverless Function
Webhook
Slack / API
System Event Log
Waiting for trigger...
Why Event-Driven?Direct API calls are brittle. If the AI service is overloaded, the uploading app hangs. By using an Event Bus, we decouple the systems. The upload succeeds instantly, and the AI processes the file when resources allow (Loose Coupling).

Identity Federation

Secure Access Frameworks

HR Manager
Corp IDP (Okta)
AI Security Service
Vector DB
Security ContextNO SESSION
// Waiting for user login...
Secure Access

Zero-Trust Identity

Stop sharing static API keys. We implement OIDC Federation to map your corporate identities (Okta/AD) directly to temporary, least-privilege IAM roles. This ensures that an HR Manager can only access HR documents in the Vector DB, while developers are restricted to public data.
Cross-Environment

Hybrid Connectivity

Securely connect cloud-based AI agents to on-premise legacy data. We use PrivateLink and VPN tunnels to ensure sensitive SQL queries never traverse the public internet. The AI lives in the cloud; the data stays safe on-prem.

Hybrid Cloud Routing

Cross-Environment Solutions

ON-PREM
Legacy SQL DB
192.168.1.50
Direct Connect / VPN (Encrypted)
CLOUD VPC
GenAI Model
10.0.1.12
Compliance: PASSED

GenAI Gateway & CI/CD

Gateway Architectures & Operations

Smart Cache
Live Latency (ms)120ms
Throughput
450 RPS
Cache Hits
0

Model Deployment Pipeline

Commit Prompt
10:00am
Eval Suite (RAGAS)
10:02am
Security Scan
10:05am
Deploy to Gateway
Now
Gateways & Ops

AI Gateway & CI/CD

Centralize traffic control. Our AI Gateway handles rate limiting, semantic caching, and model failover. Meanwhile, our CI/CD pipelines ensure every prompt change is regression-tested against golden datasets before reaching production.