For CIOs, CDOs, and Heads of AI

Make Claude, Copilot, or Gemini smart about your restaurants.

The Intelligence Layer is an AI Substrate — the operational backbone your horizontal AI stack runs on when it needs to know your restaurants. Data, context, RBAC, and action execution. Not a chat product.

What you get

An AI Substrate, not another assistant

The platform you've already standardized on — Claude Enterprise, Copilot, Gemini — gets restaurant-aware via a single integration. We hand it the data, the semantic layer, and the permissions; your AI stays your AI.

MCP server with tenant-scoped tools

Restaurant-tuned tool calls (sales by daypart, prime cost decomposition, anomaly explanations) exposed via MCP. Drop into Claude Desktop, an Anthropic Agent, or any MCP-compliant client.

Context Assembly Node

Automatically resolves which data domains, time windows, and tenant scopes a question spans, then loads only the right context — keeping prompt budgets tight on the calling AI.

Row-level RBAC at the data layer

Authorization is enforced before any tool call touches data. A Regional Manager's query through your AI stack returns only their region — even if the prompt asks otherwise.

Reference architectures

Production-ready patterns for embedding the Intelligence Layer behind Claude Enterprise, Microsoft Copilot, or Google Gemini Gems — with auth, audit, and cost-control already wired.

Architectural claim

Conversational Vertical AI is a different product shape.

OpSage isn't an AI application with restaurant training. It's the operational backbone — data, context, RBAC, and action execution — that your existing AI tools sit on when they need to know your restaurants. Different shape. Different job.

"The Intelligence Layer is an AI Substrate — the operational backbone your Claude Enterprise, Copilot, or Gemini runs on when it needs to know your restaurants."

Stand it up against your AI stack in an hour

A reference implementation your developers can deploy against your tenant data — same MCP server we run in production, with the auth shells your stack already supports.

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