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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
Subscribe to Insight On for new episodes every week.
#AItraining #AIadoption #GenerativeAI #CreativeAgency #InsightOn
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
By Insight EnterprisesAI 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
Subscribe to Insight On for new episodes every week.
#AItraining #AIadoption #GenerativeAI #CreativeAgency #InsightOn
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