Sample build · Custom apps + AI · Restaurant

Tony's Pizzeria: never lose a Friday-night order again.

An AI phone agent that takes overflow orders by voice when the line is busy, plus an AI ordering app that turns the Saturday-night line out the door into kitchen tickets — without adding staff.

CornerBeacon designs, builds, and runs custom apps — and keeps the essential IT foundation under them solid (devices, backups, security basics) so the POS, Wi-Fi, and payments the shop depends on stay protected. Illustrative example based on a typical single-location pizzeria. The build, the toolkit, and the numbers reflect what we'd ship for a similar business — not a single named client.

~25%

Friday-night calls
recovered from voicemail

3 wks

From kickoff to live
phone agent + ordering app

$7.5K

Fixed-price build
+ $499/mo to operate

Illustrative targets based on a representative deployment — not measured results from a named client.

The business

One location. One phone. One person on it during the rush.

Tony's is a family-owned pizzeria in a small downtown — the kind of place where the owner is in the kitchen most nights and his daughter handles the register. Twenty-two years in business, a reliable book of regulars, and a Friday-night line out the door from 6pm to 9pm.

The phone keeps ringing during that window. The problem: nobody can answer it. The person who'd normally pick up is making pies, or running an order to a delivery driver, or boxing six pizzas at once for a soccer team. Calls go to voicemail. Most callers don't leave one — they just call the next pizza place on Google.

The problem

The math of a missed Friday-night order is brutal.

The owner audited the phone log for one Friday. Between 6pm and 9pm, the shop missed roughly 20 calls. At an average order value of $32, that's roughly $640 of pizzas walked out the door to competitors — in one night.

Across a 12-month year (52 Fridays plus Saturdays plus holiday-week rushes), that's a five-figure revenue leak from a single failure mode: no one available to answer the phone during peak demand.

Hiring a dedicated phone person for the rush sounds simple. The problem is that the rush is three hours, twice a week. Staffing it on payroll isn't viable.

What we built

AI phone agent + AI ordering app, working together

The foundation first

Before any AI goes live, we make sure the basics under it are solid. That means devices set up right, a security baseline — MFA, patching, email protection — on the POS and back-office machines, and tested backups so a crashed register isn't a lost night. That foundation protects the POS, the in-store Wi-Fi, and the card processing so orders keep flowing when the line is out the door.

1. The AI phone agent

A natural-sounding AI voice agent picks up when the line is busy or after hours. It greets the caller in Tony's voice ("Thanks for calling Tony's Pizza, what can I get started for you?"), takes the order conversationally — pizza, toppings, sides, drinks — reads it back to confirm, captures the customer's name and phone number, and either schedules pickup or hands off to a delivery driver. The order prints to the kitchen ticket printer the same way an in-person order would.

For payments, the customer either pays cash at pickup (the default for regulars) or gets a text with a Stripe link to pay in advance. Either flow takes about 90 seconds end to end.

2. The AI ordering app

A simple, mobile-first ordering site at order.tonyspizza.com with one-tap reorder for regulars. The AI assistant on the site handles "do you have gluten-free?", "what's good for a group of four?", and "can I add jalapeños to the meat lover's?" — without anyone at the shop touching a phone or a screen.

3. SMS loyalty & win-back

Customers who order three times in a month get a "regular" status that unlocks early access to specials. Customers who haven't ordered in three weeks get a "we miss you, here's $5 off a large" text on a Tuesday afternoon. Both flows run automatically.

4. Catering inquiries

The AI agent recognizes catering questions ("can you do 50 pizzas for a corporate event?") and routes them to a separate flow — capturing date, headcount, dietary needs, and budget — then texts Tony with the details for follow-up.

5. Auto review requests

Two hours after a delivery order completes, the customer gets a one-line text: "Hope you loved it — would you mind a quick Google review? <link>". Most loyal customers say yes when asked at the right moment.

The result

The overflow orders that used to vanish now show up as kitchen tickets.

During the Friday and Saturday rush, the AI phone agent now captures roughly 90% of overflow calls — most as completed orders, the rest as callback requests. The ordering app handles the customers who'd rather not call at all (which is most of them under 40).

The owner's Google review count grew steadily over the first quarter — not because anyone asked customers in person, but because the automated post-order request runs after every delivery.

More importantly: the owner stops checking his phone during the rush. He's back in the kitchen, where he belongs.

Underneath the AI, the IT foundation tends to mean fewer surprise outages and backups that are actually tested — so a POS or Wi-Fi hiccup doesn't take down a Friday night. (Illustrative — not a measured client metric.)

The toolkit

What we used to build this

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