AI Strategy & Execution Workshop for Restaurant and Hospitality Leaders

Restaurant and hospitality leaders are getting pitched AI from every angle. But most teams are still stuck in pilot mode: testing tools, playing with prompts, and chasing “use cases” without a clear way to decide what matters, what is feasible, and what will deliver measurable impact.

This in-person workshop introduces the Kendall Framework, a structured, problem-first methodology designed to help leaders identify high-value operational friction, define the context and constraints AI needs to perform reliably, and prioritize initiatives you can execute with confidence.

What you will learn

In this 6-hour, interactive program, you will learn how to:

• Ground AI strategy in real operational friction, not vendor hype
• Identify problems worth solving across labor, throughput, inventory, guest experience, compliance, and margins
• Define the context, rules, and constraints AI needs to be trustworthy and repeatable
• Evaluate and sequence AI initiatives into a practical opportunity portfolio
• Move from scattered experimentation to leadership-driven AI execution

Who should attend

Built for restaurant and hospitality leaders who own results, including:

• Owners, CEOs, and Presidents driving performance and growth
• COOs and operators responsible for execution across locations
• Finance leaders focused on margin, labor, and cost control
• IT, data, and technology leaders supporting modernization
• Leaders responsible for training, consistency, and operational standards

What you will walk away with

• A practical leadership framework to move from AI curiosity to AI execution
• A clear understanding of why context is the force multiplier, and what “industrial-grade context” looks like
• A repeatable method for capturing, scoring, and prioritizing operational problems
• A first-pass AI opportunity portfolio tailored to restaurant operations
• A starting point for AI operations: workflows, governance, safety, adoption, and change management

Event details

Date: [Add date]
Time: [Add time window] (in-person)
Location: [City, MA] (venue shared after registration)
Capacity: Limited to keep it interactive