Custom AI Middleware: Centralised AI Gateway

I will build a custom AI middleware layer serving as a centralised gateway between your business systems and AI capability — covering a unified API your internal systems call regardless of which underlying LLM provider serves the request, centralised prompt management, request logging and cost tracking across all AI usage, and the flexibility to swap or add LLM providers without modifying every system that consumes AI capability. Businesses that integrate AI directly into each system independently create duplicated prompt logic, inconsistent error handling, and no centralised visibility into AI usage and cost across the organisation; a middleware layer solves all three problems by centralising AI access behind a single internal API.

The middleware covers a REST API gateway accepting requests from your internal systems, provider abstraction allowing OpenAI, Anthropic, or other LLM providers to be swapped without consuming-system changes, centralised prompt template management, request/response logging for audit and cost tracking, and rate limiting and caching at the gateway level.

Designed for organisations with multiple systems or teams wanting AI capability who need centralised governance, cost visibility, and provider flexibility rather than each team independently integrating AI in isolation.