31:16Austin 2026
San Diego 2025
AI Marketing Operations at True Classic with Bryan Cano
Bryan Cano shares how True Classic uses AI to address bandwidth, creative operations, and data analysis. The talk focuses on equipping a lean team with processes and tools that improve execution.
Watch it. Put it to work.
ABOUT THIS SESSION
Address the team’s fear of change.
Bryan Cano shares how True Classic uses AI to address bandwidth, creative operations, and data analysis. The talk focuses on equipping a lean team with processes and tools that improve execution.
For ecommerce founders, marketers, and operators working on ai & automation.
- Speaker
- Bryan Cano
Head of Marketing, True Classic - Recorded at
- San Diego 2025 ↗
September 2025
Speaker roles and platform examples reflect the session’s original context. This is an archived conversation.
TAKE IT BACK TO YOUR DESK
Ideas to put to work.
- 01
Address the team’s fear of change
Explain the work AI can improve and give people room to develop new skills.
Read this part · 04:18 ↓ - 02
Match automation to a specific bottleneck
Separate creative generation, operational execution, and insight work.
Read this part · 10:31 ↓ - 03
Train the workflow, not just the tool
Use documented processes and regular coaching to help people work more independently.
Read this part · 21:12 ↓
READ THE SESSION
The edited transcript.
A condensed, edited reading version based on the YouTube captions and session chapters. Repetition and unclear audience audio have been removed; the discussion is paraphrased for clarity, rather than presented as a verbatim transcript. Timestamps refer to the original video.
Original recording on YouTube ↗Address the team’s fear of change
Bryan discusses the human side of adopting AI, including anxiety about replacement and uncertainty about expectations. Introducing tools is only part of the job. Teams also need a reason to change their working habits and support in learning how to use the technology effectively.
Match automation to a specific bottleneck
Bryan organizes AI use into distinct types of work. Generative tools help produce material; operational tools can handle repetitive execution; analytical tools help surface opportunities in data. Connecting each category to a business constraint makes it easier to prioritize useful applications rather than chase novelty.
Train the workflow, not just the tool
The creative-team example includes detailed operating procedures and recurring training conversations. Bryan describes designers waiting for briefs instead of using AI to advance the work themselves. The goal is to improve how the team operates, with clearer expectations and more capable contributors rather than another disconnected software subscription.
KEEP THE IDEAS COMING
Stay in the conversation.
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