---
slug: "restaurant-first-call-what-to-expect"
title: "Restaurant First Call: What to Expect"
template_kind: "custom-proposal"
---

This guide covers what we typically set up in the first call and how we keep your restaurant’s information accurate for customers who ask questions through AI.

## What we’re building

Create an AI-optimized knowledge base that helps AI models answer customer questions about a restaurant (e.g., availability, menus, catering) with high accuracy.

## What we can connect (common restaurant data sources)

In many cases we can pull structured, up-to-date information from tools you already use.

- Examples of integrations: OpenTable
- Common uploads we can use as inputs: group dining menus, private event sheets, catering PDFs

## How we keep menus current (recommended workflow)

**Recommended process:** Email the finalized menu to the Courtyard address as part of the existing menu approval process.

**Why this works:** This avoids unsustainable manual file management and helps prevent out-of-date information.

## Private events and sensitive pricing

Do not surface event package pricing initially; instead prompt prospects to contact the team for pricing.

Event pricing often needs negotiation and flexibility, and early price anchoring can discourage inquiries.

## What we measure (so you can see the value)

AI-driven traffic to the knowledge base, clicks on links surfaced by the AI (e.g., reservations or contacting events), AI response accuracy and quality for detailed customer inquiries

## The technical setup call

Most setups are quick:

- Typical duration: 20–30 minutes
- What we’ll need: Add a small code snippet to the website, Update a domain/DNS record

## Helpful content you can send us

If you want the AI to answer nuanced questions the way your best staff member would, these inputs help:

voice recordings, documents, edited documents, sales call recordings (approved)

## Where this is heading

Avoid requiring constant manual document edits by enabling automation and change detection for updates (e.g., detecting new prices).