LLM Orchestration Platform
45% Cost Reduction with Unified LLM Platform
The Challenge
A B2B SaaS company had integrated multiple LLM providers independently, resulting in duplicated caching, inconsistent error handling, no cost visibility, and zero failover.
Our Approach
We designed a centralized orchestration platform with intelligent routing, semantic caching, circuit breakers, and per-feature cost attribution — all codified in Terraform.
The Execution
Delivered across 12 weeks with the following technology stack:
How we worked
Discovery
Deep-dive into existing systems, constraints, and stakeholder interviews.
Architecture
Design the system blueprint, data models, and integration points.
Prototype
Ship a working slice end-to-end to validate assumptions.
Build
Full development with weekly demos and continuous integration.
Deploy
Production rollout with monitoring, rollback plans, and training.
Scale
Performance tuning, documentation, and knowledge transfer.
The Results
- 45% reduction in LLM inference costs
- 99.9% uptime across all model endpoints
- 3x AI feature velocity (2–3 weeks → 3–5 days)
Architecture Overview
The Future
This engagement established a foundation we continue to build on. The systems we shipped are now handling production workloads, and the architecture we designed is positioned for the next phase of scale.
We went from managing 6 different LLM integrations with duct tape to a unified platform that auto-routes, caches, and fails over gracefully. Our AI feature velocity tripled.