Dispatch #004 | Adapt or Die

What’s Your AI Adoption Strategy?

7 Min Read

"The most dangerous phrase in business right now? 'We’re not ready for AI yet.' That’s not strategy. That’s surrender."

This week, I was deep in the weeds on business development. Building sales enablement assets, mapping outreach flows, and tightening our internal playbooks to help Operators have sharper conversations with business owners.

Somewhere between drafting objection handling scripts and breaking down ROI on AI automation, this nagging thought wouldn’t let up:

What’s the one question I could drop that would make someone freeze mid-scroll, look up, and actually think?

A question that cuts past the hype and click bait headlines.

A question that doesn’t just apply to enterprise CTOs or tech-forward startups but hits like a flash bang whether you’re 17 or 57.

That’s when it landed: “What is your AI adoption strategy?”

It’s clean. It’s lethal.

And for 99% of people, it exposes the gaping hole they didn’t know existed.

This question doesn’t care if you’re a high schooler still writing essays in Google Docs or a small business owner still writing invoices by hand. If you don’t have an answer for it, you’ve already got a problem.

You’re a high school student? Your future job market will favor AI fluency over straight As. 

Recent college grad? LinkedIn endorsements don’t mean jack shit if someone else is running circles around you with a voice assistant and n8n automations.

Career pro? Your promotion is going to someone who knows how to combine prompt engineering with business acumen.

Startup founder? If you can’t integrate AI into your ops you’re not lean, you’re a liability. Good luck raising capital.

Small business owner? Rising payroll and unpaid overtime aren’t your real problems. Your real problem is trying to grow a 2025 company with a 2015 toolkit.

AI is not the Terminator. It’s not here to replace everyone.

But it is the great amplifier. It boosts the ones who know how to wield it. And sidelines the ones who don’t.

And here’s where the panic sets in. Most people reading this have no real strategy.

They think because they’ve dabbled in ChatGPT or watched a webinar, they’re “keeping up.”

They’re not. They’re drifting.

 No system. No plan. No skill development.

AI never sleeps. This is your wake-up call, pal.

Yeah, I said it channeling a quote from the movie Wall Street, because Gordon Gekko was wrong about a lot of things, but he was right about urgency.

So now I’m turning the question back on you, what is your AI adoption strategy?

Not next year. Not “when we have time.” Right now.

Because if you can’t answer that today, your competition already has.

TL;DR | Quick Brief Links

Mission Debrief: The Snapshot Stack That Collapsed on Itself

We were called in by a digital agency who said they “just needed a quick fix.”

Translation, their account was a minefield.

Over the past year, they'd purchased snapshot after snapshot from different providers.

Templates for lead gen, fulfillment, nurturing, reviews, memberships and any other creative assets you can name, they had it.

If it looked shiny and promised ROI, they bought it.

“We just need a quick fix. It looks simple.”

🚨 The Problem:

  • 7 different pre-built systems were jammed into a single HighLevel account

  • Custom fields overlapped, overwrote, and misfired

  • Tags meant one thing in one snapshot, and something completely different in another

  • The CRM was littered with automations that contradicted each other

Worse?

No one on the team knew what each workflow actually did. Some snapshots had automations tied to long-deleted forms. Others were running in the background with no visible triggers.

And of course, when things broke (which they did constantly), no one could tell which system was causing the issue.

We were hired to audit the chaos and by the time we finished cataloging the mess, it was clear, this wasn’t a “quick fix.”

This was a rebuild.

What We Did:

✅ Identified and mapped every asset forms, workflows, triggers, tags, fields, calendars
✅ Consolidated overlapping logic into a single operational framework
✅ Renamed and standardized fields, values, and workflows for clarity
✅ Documented everything so the team could actually manage their own system

🔥 Tactical Takeaways:

  • Snapshots are tools not solutions. Without strategy, they create technical debt

  • Overlapping fields, tags, and automations will absolutely eat your account alive

  • System bloat is real and it’s expensive.

Operator Pro Tip:

📌 A Snaphot is not a shortcut if you don’t know how to operate it. You’re not running a business, you’re babysitting a bomb.

At first I thought that AI would come for the entry-level jobs first. Jobs like cashiers, assistants, warehouse workers.

But the more research I'm doing and conversations I'm having, nothing can be further from the reality and gravity of the situation.

The roles getting displaced right now? They’re sitting in glass offices, not behind counters.

This last week I talked to a former colleague. Sharp guy. MBA. Mid-level strategy and project management role at a tech firm. The type who survived every org chart shuffle for the last ten years. He knew how to play the game.

Until the game changed.

He was let go last quarter. Replaced not by a new hire, but by a suite of systems that automated 80% of what he used to do.

  • Data analysis? Replaced with dashboards and GPT plugins.

  • Quarterly reports? Auto-generated.

  • Competitive research? Done by AI agents, faster and deeper.

  • Internal strategy decks? Built by tools, refined by execs directly.

The irony? His job wasn’t automated away. It was absorbed by tech-savvy upper level managers using better tools.

He didn’t see it coming because he thought AI was a “junior employee” problem. It wasn’t.

It was a skills problem and his resume wasn’t ready for the new rules.

He told me, “I thought I was safe because I wasn’t entry-level.” That sentence hit like a brick.

Because the real disruption isn’t about where you sit on the ladder.

It’s about how fast you can adapt and how valuable your thinking is when machines can already do the rest.

Operation: Tap n' Track Playbook

The idea for this playbook came from a Saturday morning stroll through our local farmers market.

Dozens of small business owners, incredible products, long lines of customers and not a single one capturing a lead.

They were taking payments, handing out change, maybe dropping a flyer in a paper bag and then praying that customer came back next week.

It hit me they weren’t just losing sales, they were losing relationships.

So we built a system.

Tap n’ Track: A POS-integrated lead capture system, synced to HighLevel.

It turns every in-person purchase into a captured contact and then triggers an automated follow-up sequence to turn that buyer into a repeat customers.

We kept it tight and tactical:

✅ Tap-to-pay with Stripe or NFC devices
✅ Auto-capture name, email, phone into CRM
✅ Instant nurture: email + SMS flows ready to fire
✅ Live dashboards to track performance across events

The best part? No more lost leads. No more manual exports.

Just synced data, follow-up automation, and a clean post-event pipeline.

The vendors didn’t just make a sale, they were cultivating relationships.

And if your clients are still out there swiping cards with zero CRM strategy?

They’re not building a brand, they’re renting attention.

📥 Want the Tap n' Track Playbook?

We’re currently converting it into a plug-and-play system for certified Operators and clients alike.

👉 Click here to join the waitlist and get exclusive access once we launch it.

Mark Celli: The Strategist in the Shadows

Meet Mark Celli, call sign Digital Sentinel.

Nearly a decade at one of the largest healthcare giants in the world.

Agile coach. Scrum master. Process architect.

Not just another manager pushing tickets a battlefield tactician for enterprise transformation.

And now and he’s deployed with RevForce.

His specialty? Designing automation systems that don’t just function they think.

 ✅ CRM systems that move leads like clockwork

 ✅ Funnels that convert without friction

 ✅ Processes that strip out waste and optimize revenue

 ✅ Integrations that stitch entire tech stacks into a single, unified war machine

He’s fluent in frameworks, fearless with data, and deadly precise with execution.

From Kanban to HighLevel, he doesn’t just build systems, he engineers momentum.

Clients don’t just get tech support. They get a strategist. A builder. A sentinel watching their six.

And when your competitors are still figuring out how to use their CRM? He’s five steps ahead, running ops in the dark quietly making your business unstoppable.

In this week’s episode of FrontlineFocus we talk about:

  • His transition into the world of digital operations and project management

  • How his role connects the dots between strategy and execution

  • The importance of efficiency, structured workflows, and automation

    ⚠️ Warning: After listening to Mark, you will see an example of someone who exemplifies the agile mindset.

Time for your recon drop.

This is Intelligence that matters—globally and inside the HighLevel war room.

🤖 Meta Just Made Its Move and Everyone Else Flinched

Last week, Meta pulled off a major power play. They took a 49% stake in Scale AI. One of the biggest data labeling firms in the world.

Why does that matter?

Because every major AI company has used Scale to train their models.

Now? That partnership comes with a price tag which also strengthens Meta's position in the AI arms race.

OpenAI says they’ll stick with Scale (for now), though they’ve already started scaling back.

xAI, Microsoft, and even Google who is Scale’s largest customer is reportedly planning to walk away entirely.

It’s not just about data anymore. It’s about control. Access. Leverage. And trust.

Every dollar spent with Scale now potentially feeds Meta’s infrastructure.

So what we’re watching is data dependency warfare. This is four-dimensional chess where training datasets become battlegrounds and strategic exits are just as important as partnerships.

Bottom line? The AI giants are drawing new borders.

The players who own the data and the pipeline will own the future.

My top three choices from this week’s HighLevel Feature drop

  1. Ask AI Funnel Creation Agent

    Write a simple prompt and you can create funnels instantly

  2. Workflow AI: New AI Decision Maker Action
    Using natural language you can empower your workflows with smart, automated decisions based on dynamic input

  3. Voice AI Agent Upgrade (Opt-In)
    With a click of a button you can upgrade to new voice features that are more responsive and better voice quality.

    📺 Want the Full Feature Breakdown?

#1. HighLevel Summit 2025 | Dallas, TX, USA | October 13–16, 2025
The mothership event.

Product reveals, ecosystem shifts, live workshops, and all the HighLevelers in onc place.

If you miss this, don’t call yourself “plugged in.”

RevForce Academy Enrollment Is Now Open

If you’ve been lurking on the sidelines, viewing our social media posts, reading dispatches, and wondering if you’ve got what it takes to become part of the RevForce Team?

This is your call to action.

This is the door. Kick it open.

The Academy is where recruits transform into full-stack Operators.

Where careers get rebuilt.

Where mission-driven technologists are trained, equipped, and deployed into the digital economy.

Are you ready?

👉 Apply HERE 🫡

Free Resource: Prompt Tip

Anyone else notice how the em dash, this thing (—) became public enemy #1 for spotting AI writing?

Well, it’s got company now.

Reddit has identified a new tell, the “It’s not just X, it’s Y” sentence structure.

Also known as negation. Also known as a red flag that your copy was cooked by a robot.

It’s the fake deep line AI loves to write, like the examples below:

“It’s not just about sales—it’s about relationships.”

“This isn’t just marketing—it’s a movement.”

“We’re not just building software—we’re changing the world.”

We’ve all seen it. And once you do, you can’t unsee it.

Here’s the issue, AI isn’t trying to sound smart. It’s trying to sound human by using predictable tension and contrast. Even when the sentence didn’t need it.

But good Operators write with intention. They don’t need filler drama to sound clear.

So here’s this week’s Arsenal drop. A prompt fix shared by Blake Stockton to kill the negation structure in AI-written content:

🧠 Prompt:

“Avoid any sentence structures that set up and then negate or expand beyond expectations (like 'X isn't just about Y' or 'X is more than just Y'). Instead, use direct, affirmative statements. Feel free to be creative with your sentence structures and expression styles.”

Use this when writing prompts for clean, clear, human-sounding copy. Especially, if you’re passing writing off as your own.

The best AI doesn’t sound like AI. It sounds like a human that doesn’t waste your time

Alright Be Honest, How’d I Do?

Your opinion matters to me.

Seriously. I don’t write this newsletter because I’ve got nothing better to do.

I do it because I am hell bent on building REAL value for you.

Did this Dispatch deliver? Or should I call in an airstrike and start fresh?

Drop a comment or leave some stars

⭐️ ⭐️ ⭐️ Mission Accomplished – Tactical, tight, and ready for deployment
⭐️ ⭐️ Needs Reinforcements – Some hits, but it’s limping
⭐️ Mission Failure – Absolute FUBAR

Until next week,

Stay Frosty!

Michael

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