Ragu AI

What does Ragu do?

Ragu is the production layer for AI labor: memory, orchestration, governance, review, promotion, audit, and rollback for agents doing real work.

What is the Promotion Gap?

The Promotion Gap is the distance between what a company can now imagine with AI and what it can safely keep in production. Ragu engineered the first system to close it — turning an employee's intent and an agent's work into governed proposals that earn their way into production.

Is Ragu a product or a services firm?

A services firm with a production-grade platform underneath. We are hired to map, build, and promote AI work inside live businesses. The engagement is delivered by our team and runs on Ragu's own platform — battle-tested RAG, AWS-deployed governance, and an orchestration layer we have spent four years hardening.

What happens first?

Ragu starts by mapping the operating knowledge, data boundaries, agent pathways, and production risks already inside the business. The output is a first working surface and a roadmap for memory, orchestration, review gates, and promotion.

What is enterprise RAG?

Enterprise RAG is the memory layer that makes company knowledge AI-readable, permissioned, citable, fresh, and useful inside real workflows.

Why does AI need RAG to accelerate a company?

AI cannot accelerate a business if it cannot understand the business. RAG gives agents the context they need from documents, systems, customer history, policies, and operating data.

What is an AI understudy?

An AI agent granted governed access to the context a human counterpart uses, able to inform, assist, draft, execute approved tasks, or perform parts of a role under review.

What is an agent orchestrator?

An agent orchestrator turns operator intent into tasks, tool calls, drafts, diffs, and workflow changes while staying connected to governed company memory.