By ALIS LABS

Bistro Copilot

AI agents for restaurant operations, menus and marketing.

LiveFood servicemulti-tenant · specialist agents · RAG · 5 languages · observability

Context

A restaurant is a high-tempo operation: menu, recipes, stock, marketing and service change every day. The challenge isn’t ideas. It’s keeping standards, margin and speed.

Challenge

  • Content and operations depend on business context: menu, brand voice, schedule, constraints.
  • Daily exceptions and urgencies break routines.
  • Without governance, it’s unclear what was approved, published or turned into a task.

Solution

A platform of specialist agents connecting planning, execution and follow-through, with tools and integrations. Each agent owns a domain and answers from the restaurant’s own knowledge.

Modules

Menu

Menu engineering, recipes and margin per dish.

Marketing

Calendar, content and campaigns in the brand voice.

Competition

Local market reading: prices, positioning and moves.

Architecture

  • 01Multi-tenant with org isolation
  • 02Domain-specialist agents with central orchestration
  • 03Claude via AWS Bedrock, with fallback to another provider
  • 04RAG over menu, recipes, processes and rules
  • 05Interface in 5 languages

Governance & security

  • Cost, quality and logs per tenant
  • Approval flows before publishing
  • AI answers with source or rationale

Current state

  • Live
  • Less friction to run recurring routines
  • Foundation for new modules and integrations