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Restaurants

Someone watching the shop for restaurants

Watches no-shows, review sites and delivery platform fees.

PhoneEmailDocumentsWebsiteCalendarCRMBooksYou
Monitoring at a restaurant, a sample dayLocal time
  1. 03:10Card processor error caught. You were notified, the customer was told to retry in the morning.
  2. 07:00Morning digest: 41 calls, 18 bookings, 2 invoices paid, one document expiring Friday.
  3. 13:52Ad spend on track to double the daily budget. Paused, you were asked whether to resume.

What it does in restaurants

  • Watches website, phone line, payments and key tools
  • Caps daily spend on every paid service
  • Spots a quiet phone, a refund spike, a missing report
  • One plain message when it matters
  • Delivers a short morning digest of yesterday

Systems in your office it plugs into

  • Reservation systems (OpenTable, Resy, Tock)
  • Online ordering and delivery platforms
  • Catering and private event inquiries
  • Supplier invoices
  • Staff schedules

Plus websites, phone systems, payment processors, cloud services, quickbooks, bank feeds, ad accounts.

Guardrails, set on day one

What the AI may promise, what it hands to a person.

Rule

Alerts come with a reason and a next step

Rule

Quiet hours are respected

Rule

Hard caps stop paid services before the bill

Rule

Read only unless you grant an action

Questions

Short answers. Anything else, ask on the contact page and a person replies in a day.

Ask a question
Is this just uptime monitoring?

Uptime is the smallest part. Spend caps and drifting numbers are the point.

How many alerts will I get?

One morning digest. Anything else means something needs you.

Can it take orders?

It takes reservations and catering requests directly. Food orders go through your ordering platform, which it can point callers to.

Your systems stay yours

Nothing to migrate, nothing new to learn. A person is always one step away.

  • Week 1: audit
  • Weeks 2 and 3: build and test on your cases
  • Week 4: live, watched
  • Every month: tune