I Made the Mistake I Warn You About 😭

I Made These AI Implementation Mistakes So You Don't Have To...

Hello...Hello! 👋🏻

Last week, I realized I've been making the same mistake I warn you about…

Moving too slow with upskilling our team at ScaledOn

The agency space is brutally competitive, and while we'd picked Path Two (The Evangelist Accelerator) and were making good progress, it just was not fast enough. 

For 6 months, the team has been running ScaledOn's AI adoption like an evangelist—finding champions, letting them learn organically, hoping it spreads.

The results? Inconsistent adoption. Siloed wins. Moving too slow.

The wake-up call? Watching competitors post YouTube videos showing AI workflows that are waaaaay ahead of ours. 😭

Angry Comedy GIF by CBS

Gif by cbs on Giphy

Sometimes the cobbler's kids really do need new shoes. (My father's family ran a shoe store in Boston…they knew this lesson well while feeding eight kids.)

Why the Evangelist Path Failed Us

What We Did Right: 

Found our AI champions
They learned fast and got excited
Started sharing knowledge

What Went Wrong: 

No standardized processes
Every department using different tools/process
Champions burning out from AI extras + day jobs
6 months of inconsistent results

The Hidden Cost: While we were "learning," competitors were shipping.

The ScaledOn 90-Day Sprint 🏃🏻

We're switching to Path 3: The Sprint. Here's the plan:

Days 1-14: Assess

Department skill gaps:

  • SEO Team: Where is the entire team? Not just the Champions. 

  • Media Team: Using AI like Google → Creative automation pipelines

  • Amazon Team: Many great individual projects → Full team automation

Days 15-42: Educate + Accelerate

Standardized foundation:

  • ChatGPT setup for every team member to Alec’s Spec. Audit and QA. 

  • Department-specific prompt frameworks and libraries. Are junior team members using them?

  • Weekly 60-min sessions (mandatory, calendar-blocked) for all Managers & Leads

Days 43-70: Apply

Live pilot projects by Department:

  • SEO: 30% faster & better content delivery

  • Media: 30% more creative testing

  • Amazon: 30% more sales outbound
     All at same net cost levels.

Days 71-84: Amplify

  • Create department-specific SOPs in Notion by role

  • Build client onboarding and Sales AI capabilities at the Department level

  • Scale across all team members. No one left behind. NO ONE.

Getting traffic is easy.

Getting the right leads? Not so much.

One finance client came to us needing high-quality leads without blowing up their cost per lead. We built and tested a rotation of PPC campaigns—search, display, and industry-targeted funnels.

Within six months, lead volume jumped by 125% and funded deals by 160%.

The Investment Reality 👀

Evangelist approach: 6 months, 200+ hours, inconsistent results
Sprint approach: 90 days, external coaching, better outcomes

Why we're choosing the sprint: We can't afford to be slower than competitors who are nailing this.

📌 [In Case You Missed It]: Download your sprint blueprint for FREE (it goes paid next week as we reward action)

What This Means for You ☝🏼

Red Flags Signifying You Need a Sprint:

  • AI adoption stalled after initial enthusiasm

  • Team using different tools/processes

  • Champions are getting burned out

  • Competitors outpacing your AI capabilities

The Bottom Line 🫠

I've been so focused on helping others adopt AI that I neglected my own team. Don’t make my mistake.

P.S. I'll share our sprint results—the good, bad, and ugly—over the next 12 weeks. Because we all need to get better with AI.

P.P.S. If you need a hand accelerating AI with your team, book a discovery call.