AI training for creative teams fails when it ignores the real barriers: People don't know where to start, and they're afraid they'll automate themselves out of a job. Samuel Archibald, director of AI at the Sherlock Company, built an entire AI enablement program from scratch — gamified learning modules, multi-agent grading systems, prompt auditing tools — and hit a 93% completion rate without making any of it mandatory.

In this conversation, Samuel breaks down how he moved a creative agency from AI resistance to AI fluency. You'll hear how he separated LLM capabilities from image and audio models to reduce fear, why non-coders started building Photoshop plugins before the engineering team caught up, and the simple automation rule that changed how his team thinks about repetitive work.

See how the Sherlock Company is actively using AI to transform their creative workflow with Insight and Vertex AI (now Gemini Enterprise Agent Platform): https://www.insight.com/en_US/content-and-resources/case-studies/the-sherlock-company-automates-creative-content-at-scale-with-vertex-ai-and-sada-services.html

Still facing AI hype? See how Insight is helping organizations build AI programs that stick — from training to production: https://www.insight.com/en_US/what-we-do/expertise/data-and-ai.html

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Chapters (5–12)

00:00 — Welcome and intro

01:49 — What the Sherlock Company does for studios

05:11 — Building a custom AI learning platform

05:45 — Gamified quest mode and 93% completion

07:23 — Overcoming fear and the empty chat box

09:01 — Finding AI use cases for every role

09:55 — Multi-agent grading and prompt auditing

12:02 — Non-coders building apps and plugins

14:06 — Keeping training current when tools change monthly

16:28 — Blurring roles between creatives and engineers

19:43 — Turning AI-resistant teammates into adopters

22:50 — Reframing AI as "I can do this faster"

23:09 — Why showing failures matters for adoption