Insights to help your restaurant thrive.

The word “open” when talking about restaurant tech means something different depending on who’s saying it. Some mean an API exists. Some mean a handful of pre-built integrations.

Every restaurant brand evaluating AI right now asks the same question: what can it do? Almost none of them ask: what is it going to be fed? That’s backwards.

Most restaurant technology gets evaluated the same way: feature list against feature list, price against price. That’s the wrong unit of measurement.

Building AI fast used to be the hard part. That part is getting solved.

A store manager wants to know yesterday’s labor cost at Store 12. That’s not a question for a model. That’s a lookup.

Most restaurant brands treat AI selection like a technology purchase. Compare specs, check the price, sign the contract. That’s the wrong category.

A year ago, the question was simple. What can this thing do? Now operators ask something harder. What does it actually save? That shift is the whole story.

Restaurant brands spend months evaluating AI vendors. Comparing features. Debating integrations. Building slide decks to justify the decision before anyone has made one.

Slowing something down does not make it clearer. It changes what it is.

Last week at HITEC, Harikrishna Patel said something that needed to be said out loud. The term “AI Agent” is everywhere right now.

Labor optimization is a frequently misunderstood term. For years, the conversation has mostly centered on cutting. Cut hours. Cut shifts. Cut the percentage.