I suspect that, as an industry and as human beings, we are asking the wrong question about AI.

At Dartcor, we use technology aggressively. Some of that work uses AI; some connects systems or improves workflows. AI is the current accelerator, but not the whole story.

Technology is the means, not the end.

The question is not how efficiently technology can help us run a hospitality business. It is how much time it can give our people to focus on the responsibilities that make hospitality human: reading the room, anticipating a need, exercising taste and judgment, developing a team, shaping the flow of an experience, and making someone feel genuinely cared for.

Those responsibilities belong to people. Actual, live, in-person humans.

Our focus is technology in service of that human work.

The best use of AI is getting hospitality people away from it.

Hospitality has a technology problem

Anyone who has worked in hospitality knows the contradiction.

People enter this business to work with people. Then they spend an extraordinary amount of time working inside systems.

Reservations. Events. Point-of-sale. Scheduling. Reviews. Purchasing. Inventory. Invoicing. Budgets. Reporting. Recruiting. Menu management.

Each platform may solve a legitimate need. Together, they leave managers compiling reports, reconciling data, and formatting spreadsheets instead of leading teams and caring for guests.

Anyone who has watched a chef wrestle with a spreadsheet understands the mismatch. A chef should not need to become an Excel expert to cost a menu item accurately. A manager should not begin every morning pulling information from five platforms before speaki

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ng with the team.

The best technology connects the systems behind the scenes, puts the right information in someone’s hands, and gets out of the way.

People enter hospitality to work with people, not systems.

What this looks like at Dartcor

5,500 TO 7,500+ HOURS GIVEN BACK EACH YEAR

Across roughly 18 to 20 live and in-development tools and workflows, Dartcor estimates that technology is returning 5,500 to 7,500-plus hours to the organization each year.

The estimate compares prior manual effort with the time required after introducing connected systems, AI-enabled tools, and improved workflows. The largest gains come from recurring reports, operating briefs, reconciliation, inventory tools, the Commissary OS, and department-specific Claude projects. Estimates were deliberately conservative.

AT LEAST 45 MINUTES BACK EVERY MORNING

At The Morris Proper, the Daily Morning Brief draws information from Toast, 7shifts, Tripleseat, OpenTable, and operating checkbook data into one report.

It replaces at least 45 minutes of manual work each morning. A Weekly Brief and events dashboard are also live.

37 SPREADSHEETS REPLACED BY ONE SOURCE OF TRUTH

Dartcor’s Commissary OS supports General Coffee Co., WorkPlace, and Cloud Market. It connects menus, ingredients, allergens, orders, production sheets, labels, driver sheets, and invoicing.

It replaced 37 spreadsheets. It also ties pricing to menu items, calculates the labels required, and creates driver check-in and check-out sheets.

“Before this system, I managed 15 separate spreadsheets every week within a process that relied on 37 overall. Then I moved the same information into separate tools for labels, menus, and prep. Now I can see prep across every account on one page. The biggest gain is the time back to coach my team and manage costs.” - Regional Manager

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APPROXIMATELY 30 ACTIVE CLAUDE USERS

Employees across operations, HR, sales, marketing, finance, and other functions now use Claude, supported by hands-on sessions, shared guidance, and meetings every two weeks with department leaders.

The next wave includes weekly P&L reporting, invoice reconciliation being piloted at two accounts, and internal Claude agents built around specific needs.

These examples may look operational.

Their value is human.

Less time reading screens. More time reading rooms.

The hours matter. But the real return is attention on the humans in front of us.

When the Daily Brief replaces 45 minutes of reporting, a manager can begin the day with the team instead of a spreadsheet.

That is time to notice who needs coaching, where the energy is off, and what small change could make someone feel more recognized or cared for.

This connects directly to one of Dartcor’s leadership principles: Connection. Strong teams and great hospitality require the capacity to notice, listen, respond, coach, and care. The more attention leaders give to people, the stronger the culture becomes. That culture becomes the experience our guests feel.

The system recedes. Human attention returns.

The real return is attention on the humans in front of us.

AI can run the report. Humans still own the room.

Some responsibilities should not be delegated to a machine.

Taste. Empathy. Creativity. Judgment. Leadership. Care.

AI can identify a pattern, surface information, and suggest a response. It cannot carry responsibility for how someone feels.

It cannot own the decision to reassure a new employee, respond when a guest needs more than they are saying, or pause when a team needs to reconnect.

Those responsibilities remain ours.

Our opportunity is to use technology for the work it does well, so people have more capacity for the work only they can do.

Technology can surface the signal. People are responsible for the response.

The principles guiding our approach

Start with the human outcome.

Decide how employees and guests should feel, then determine where technology belongs.

Remove friction, not interaction.

Eliminate unnecessary work without eliminating meaningful human contact.

Keep human responsibilities human.

Do not delegate judgment, taste, empathy, leadership, or care.

Automate selectively.

Use automation where it returns time and attention to people.

Make technology simpler than the problem.

Do not answer complexity with another complicated system.

Train people to use it safely and well.

Provide clear standards, practical guidance, and room to experiment.

Measure what people get back.

Judge technology by what teams can see, do, and improve because of it.

Give the human work back to humans

As Dartcor grows, technology will help us manage more volume and complexity without multiplying the administrative work around it.

That matters. But it is not the point.

The point is what our people can do with the time and attention technology gives back.

Can a manager coach instead of compile?

Can a chef focus on food instead of formatting?

Can a hospitality leader look up from a screen, read the room, anticipate a need, and make someone feel genuinely cared for?

Those are the responsibilities that make hospitality human. They cannot be delegated.

So the question is not how much hospitality we can hand over to AI. It is how much time AI can give back to the people responsible for creating it.

We will judge our technology by that standard: not by how much work it performs, but by how much human attention it returns.

Human attention is the return that matters most.

The best use of AI is less time with AI.

And more time for the human work of hospitality.