It’s 7:15 on a Saturday night, and your restaurant’s dinner rush is getting away from the crew. You’re down a cook. A printer has stopped working. A delivery driver is asking for an order nobody remembers seeing, and the manager is at the counter with an unhappy guest.

Someone calls across the line to clarify a modifier. The answer gets lost. They ask again.

Now a screen needs attention.

Whatever that screen is asking had better be worth stopping for.

I spent nearly twenty years in professional kitchens, working my way up to executive chef. Later, I moved into technical engineering, field systems, and software and AI development. Those experiences shape how I look at restaurant technology.

I want to know how a system is built, how it connects, and how it recovers when something fails. I also want to know what it asks of someone with wet hands, six things working, and a station they cannot walk away from.

A buying decision needs to account for both.

Your best people are covering the gaps

Experienced restaurant workers get good at keeping problems from reaching the guest.

They catch the ticket that doesn’t make sense. They remember which tablet needs a separate update when an item runs out. They know the closing report needs an adjustment, even though nobody wrote down why.

Service gets through. The numbers get submitted. From a distance, everything looks functional.

Closer up, somebody is doing a lot of extra work.

That person may also be training a new hire, watching food quality, and helping a teammate catch up. Every interruption competes with those responsibilities.

We recognize these employees as dependable. We should also examine what we keep depending on them to fix.

When the same person rescues the same process every day, their competence can hide a design problem. It becomes especially obvious on their day off, when everyone else discovers how much of the operation was living in one person’s head.

The employee has become the integration layer

Consider what happens when a restaurant runs out of an item.

Who updates the POS? Who changes availability on the delivery platforms? How does the counter crew find out? What happens to orders already accepted?

If those steps depend on someone remembering every place the item appears, that person is holding the system together. Miss one, and another employee gets to explain why the restaurant sold food it cannot make.

A disconnected workflow has become a guest problem.

The same thing happens after service. A manager exports a report, cleans it up in a spreadsheet, and enters the results elsewhere. When the numbers disagree, the manager stays longer to figure out why.

That work belongs in the cost of the technology.

The employee has become the integration layer: moving, correcting, and interpreting information that systems should exchange reliably.

If your employee has to remember how two systems disagree, the integration is not finished.

Start investigating wherever the instructions include “then go into the other app.” Follow the task through to completion. Count the checks, corrections, and interruptions it takes to get there.

Ask what comes off the shift

Before buying another system, ask what an employee will finally be able to stop doing.

Which task disappears? Which decision becomes easier? What information arrives soon enough to prevent a problem?

Then ask what gets added.

Someone may need to maintain data, review flagged transactions, charge devices, or clear alerts. Those can be reasonable responsibilities, but they need an owner and time to happen. They cannot simply land on whoever is already the most reliable person in the building.

Ask the vendor to demonstrate an ordinary failure. The internet drops. A device stops responding. An order needs correcting after it reaches the kitchen. Can the team keep working, and what will recovery require?

Put the tool in the hands of the people who will use it. Watch a shift leader complete a real task. Let a new employee try without an experienced colleague supplying the missing instructions.

When someone reaches for paper or calls across the room, find out what they needed that the tool didn’t provide.

After implementation, check the whole shift. Include the office work after the doors are locked. A faster transaction has limited value if it creates more cleanup at close.

The system has to work in a physical restaurant

Restaurant technology operates around heat, water, grease, noise, crowded stations, and equipment that needs maintenance.

Placement matters. Readability matters. A screen across the kitchen may contain the right information and still require someone to leave their station to get it. A routine lookup that takes several taps adds friction every time it happens.

Connected equipment deserves the same scrutiny.

A refrigeration alert can help employees catch a developing problem. But the system needs to identify the equipment, reach the responsible person, and support a clear response. Sending the same warning to six people leaves room for all six to assume someone else is handling it.

The operator also needs to know whether the issue was acknowledged and resolved.

That is where my kitchen and engineering experience meet. Detecting a problem is one part of the job. Making it practical for someone to respond is part of the design, too.

Give managers their attention back

A manager can spend a shift answering schedule questions, locating procedures, checking inventory, and chasing information. Each request may be small. Together, they can leave little uninterrupted time to watch the operation.

Useful technology should absorb more of that routine work.

AI may help employees find approved procedures, organize shift notes, or prepare a draft plan. Its value depends on the reliability of the information and the effort required to check the result.

If a manager has to hunt down every source and repair every answer, that effort belongs in the evaluation. Verification requirements should reflect the consequences of an error, with clear routes for questions that need human judgment.

The payoff is attention that managers can spend coaching, noticing a struggling employee, or catching a service problem while there is still time to fix it.

Those responsibilities require someone to be present and paying attention.

Give people room to operate well

The kitchen will still get hot. People will call out. Equipment will fail at an inconvenient time. Guests will need things the workflow didn’t anticipate.

Restaurant work will continue to demand skill, effort, and accountability.

Technology should help people meet those demands. A cook receives a clear ticket. An availability change reaches every ordering channel. A manager gets an equipment warning with enough information to act. The closing shift finishes without rebuilding reports by hand.

When I picture that Saturday rush, I want the crew to have enough room to catch a mistake, help the person beside them, and take care of the guest waiting at the counter.

That is a practical standard for restaurant technology: give people more capacity to run a good restaurant.

Jon Sargent spent nearly two decades in professional kitchens, working from entry-level roles to executive chef before moving into technical engineering, entrepreneurship, and applied AI. He is the founder of Kanned Heat Kitchen, a hospitality-focused brand centered on improving the physical and mental well being of restaurant professionals, and writes about workforce, technology, operations, and the future of restaurant work.