of surveyed restaurant executives expected to increase AI investment. Yet 48% cited identifying the right use cases as a barrier.
375 executives across 11 countries; surveyed in late 2024. This is executive research, not a survey limited to independent owners.Read the Deloitte study ↗AI for restaurants
Put AI to work on something that matters this week.
You don’t need another list of tools to try. You need a useful task, a clear way to do it, and someone who understands what can go wrong during service. I help you turn an AI experiment into a workflow your team can actually use.
In person across Colorado, virtual anywhere in the US.
Interested in AI. Still deciding where it belongs?
- You’ve tried a chatbot, but the results are too generic to use in your restaurant.
- You see possibilities in reporting, training, or guest follow-up but haven’t found time to set them up.
- You want the team to learn while keeping people responsible for decisions and guest promises.
What we’ll work through.
- 01
Choose one repeat task.
Start with a manager briefing, an event inquiry draft, or organizing supplier price changes. Define what a useful result would look like.
- 02
Build the instructions and checks.
Use approved policies and examples. Decide what information stays out, who reviews the output, and how mistakes get caught.
- 03
Try it with the people doing the work.
Train a staff owner, compare the time and corrections involved, and keep the parts that help. Document how to repeat the process.
AN EXAMPLE / NOT A CLIENT RESULT
Turn approved shift notes into a manager briefing.
The tool organizes tonight’s specials, availability, and service reminders into a consistent format. A manager checks every detail against the original notes before briefing the team.
AI drafts and organizes. Your team owns the facts, decisions, and guest experience.
THE RIGHT FORMAT FOR THE WORK
What we can do virtually.
A focused workflow, prompt review, or training session can happen virtually using approved examples and screen sharing.
When a visit helps.
Time on site helps when the workflow crosses roles, depends on service conditions, or needs hands-on team adoption.
In-person work is available for Colorado restaurants within roughly a three-hour drive of Broomfield.
WHY START LEARNING NOW?
Start small.
Build the skill.
Knowing AI could help is different from knowing where to start during a full week of service. Pick one repeat task, give it clear instructions, and check whether the result saves useful time. Your team learns how to use the tools, spot mistakes, and decide where they belong next.
of operators reported using AI-related tools, according to coverage of the National Restaurant Association’s 2026 industry report.
A separate survey with a different population and question; shown here as a distinct finding.Read the industry coverage ↗My approach: choose one useful project, help your team learn it, and keep the parts that work.
BEFORE WE TALK
Before we get started.
The work starts with tasks that take time away from the team. People remain responsible for guest promises, operational decisions, and checking outputs. Staffing decisions are yours.
We first check whether a tool you already have can support the task. Any additional subscription or setup cost should be considered before choosing the workflow.
Leave out payment details, passwords, and guest or employee personal information. We define approved inputs and review the chosen provider’s settings and terms before using business material.
Then we change the approach or stop that test. The project includes a way to judge the result, rather than assuming that using AI is itself a success.
Yes. I work virtually with restaurants anywhere in the US. A focused workflow, prompt review, or training session can happen virtually using approved examples and screen sharing.
LET’S START WITH YOUR RESTAURANT
What’s getting in the way?
Tell me what you’re opening or trying to improve. We’ll talk through the problem and decide whether a focused review or hands-on work makes sense.