From "What Is AI?" to Real-World Mastery — Building the Foundation
The program opened by dismantling one of the biggest barriers to AI adoption: intimidation. dotpy.tech's trainers began with a clear, jargon-free breakdown of what Artificial Intelligence actually is — and more importantly, what it means for managers on the ground. Participants discovered what a Large Language Model (LLM) is, how it reasons, and why tools like ChatGPT, Claude, and Gemini represent a fundamental shift in how knowledge workers operate.
Hands-On AI — Turning Theory into Daily Practice
Theory without practice is just trivia. That's why dotpy.tech designed the majority of this program around live, hands-on exercises rooted in Cinnabon's actual workflows. Participants worked directly with AI tools in real time — crafting prompts, analyzing responses, and refining outputs until they matched the quality standard Cinnabon demands from its operations.
Managers practiced using AI assistants to draft shift briefings, create customer complaint response templates, generate performance summaries, and build training guides for new hires. These weren't hypothetical exercises — they were direct productivity wins that participants could deploy in their stores the very next day.
Participants left this phase with a personal toolkit of AI-powered workflows tailored to their role at Cinnabon — a living, evolving resource they could continue building on independently after the program concluded.
AI Agents — The Future of Intelligent F&B Operations
The final and most forward-looking module introduced participants to the emerging world of AI Agents — autonomous systems that can reason, plan, and execute complex multi-step tasks with minimal human intervention. Unlike simple chatbots or single-prompt tools, AI agents operate as intelligent collaborators capable of managing workflows end-to-end.
dotpy.tech's trainers walked Cinnabon managers through live demonstrations of agentic AI in action: agents that could research and summarize market information, manage customer interaction flows, and handle operational queries by accessing structured knowledge bases. The vision presented was not science fiction — it was a practical roadmap for how operations management at Cinnabon could evolve over the next 12 to 24 months.