Ep 14 Part 2: Guardrails, Costs, and Real ROI: Practical AI in Restaurant Operations

Host Tal Clark continues a conversation with restaurant technology leader Marcus Wasdin about AI in restaurants, including lessons from launching Par’s Coach AI to let operators ask natural-language questions across data sources, such as optimizing operating hours for profit. Wasdin discusses the need to minimize AI “hallucinations” with guardrails while keeping the product usable. They examine drive-thru voice AI challenges: high costs from token usage, common “human-in-the-loop” call centers due to imperfect accuracy, and menu-language semantics. Wasden argues AI will shift repetitive tasks off employees to improve guest experience, with success coming largely from revenue gains; he suggests using local marketing funds to offset costs and enable consistent upselling. He advises CEOs to pursue small, outcome-based AI wins before scaling, and shares PE evaluation themes, leadership principles, and excitement for measurable AI outcomes by 2026.00:00 Welcome Back and Setup00:32 Coach AI Origins02:00 Guardrails and Hallucinations03:23 Consistency Challenges04:26 Drive Thru Voice AI Costs07:26 Menu Semantics Pitfalls08:16 Jobs and Guest Experience10:09 Funding and Upsell Ideas13:33 CEO AI Playbook16:03 Private Equity Priorities19:55 Rapid Fire Leadership21:03 Chick Fil A Admiration21:56 AI Hopes for 202622:45 Closing and Where to FollowInstant Financial: instant.coConnect with Tal Clark: https://www.linkedin.com/in/tal-clark-a60776b/ Connect with Marcus Wasdin: https://www.linkedin.com/in/marcuswasdin/ References:The Wasdin Company: www.wasdincompany.com Par Technology: https://partech.com/ Whataburger: https://whataburger.com/home Chick-fil-A: https://www.chick-fil-a.com/