The Operator Era is here.

You're profitable. You're busy. You're exhausted.

Your business does millions. You have employees. You have software. You have "systems."

So why does it still feel like you're the one holding everything together?

Because you are.

  • Every exception finds you.
  • Every important question eventually finds you.
  • Someone takes a vacation and something breaks.
  • The software exists, but your best people are still holding the pieces together manually.

We fix that.

We go inside the business, figure out what shouldn't exist anymore, simplify what remains, give machines the work machines should do, and make your best operators dramatically more powerful.

Fewer things requiring you.
More leverage. More control. More freedom.

60-minute Business Operator Diagnostic for established owner-led companies generally doing $2M–$20M+ annually.

We don't sell AI. We don't sell automation. We sell freedom.

(The kind where you can take a Tuesday off without your phone exploding.)

01Discovery

We don't audit your employees. We audit the work.

This is not an employee-performance review.

We study how work actually moves through the company:

leadsalehandofffulfillmentcustomermoney.

We talk to the people actually doing the work. We look at the screens they actually use. We follow real workflows. We find:

repetitive work
duplicate work
broken handoffs
unnecessary complexity
information being copied
humans checking other humans
work waiting for someone to remember
institutional knowledge trapped inside people's heads

Then we ask

  • What should disappear?
  • What should become simpler?
  • What should software handle?
  • What should AI handle?
  • What still deserves a great human?

Your best people should operate the system.

They shouldn't have to be the system.

02How we reach the answer

We don't redesign the company from a conference room.

Employees give us reality. Data gives us evidence. The owner gives us priorities.

We turn that into a better operating model. Then we test it before we scale it.

We do not assume leadership's description of the workflow is the workflow. We observe how the business actually operates.

That means talking to the people doing the work, reviewing the systems they actually use, following real examples from beginning to end, and understanding the exceptions that never made it into the SOP.

Then we propose what should change.

03Human dependency

Your best employee should operate the system.

She shouldn't have to be the system.

If your business falls apart when Susan takes a vacation…

You don’t have a business. You have Susan.

And that’s not Susan’s fault.

It means the company never captured what Susan knows.

Susan today

  • Copy
  • Check
  • Remember
  • Chase
  • Update
  • Remind

Susan in the Operator Era

  • Review exceptions
  • Manage relationships
  • Make decisions
  • Improve outcomes
  • Supervise systems
  • Own results

That's not making Susan less valuable.

That's finally using Susan for the work that deserves Susan.

04The complexity tax

You may be paying a complexity tax you can't see.

Another lead sourceanother spreadsheet
Another employeeanother manager
Another software toolanother integration
Another departmentanother meeting
Another reportanother person compiling it

Revenue grew.

So did payroll.

So did software spend.

So did meetings.

So did management.

But did the owner's freedom grow with it?

Complexity used to be the price of scale.

It doesn't have to be anymore.

05The method

We don't start by asking what AI you should buy.

We start by asking what work should exist at all.

01

Eliminate

Should this work exist?

02

Simplify

Can the process become dramatically smaller?

03

Systemize

Can the inputs, outcomes, ownership and exceptions become clear?

04

Agentize

Where can AI perform repetitive reasoning, classification, drafting, monitoring or decision support?

05

Automate

Where can software reliably execute predictable actions?

06

Humanize

Which work actually deserves judgment, relationships, creativity, negotiation or taste?

07

Operate

Which exceptional operator owns the outcome and supervises everything around it?

The point isn't more AI.

The point is dramatically more output with dramatically less unnecessary complexity.

We’re not trying to make your company “AI-first.”

We’re trying to make it operator-first.

So the machines do the grunt work…

And your best people finally get to do the work that actually moves the needle.

06Before / after

Build the company you would build if you were starting it today.

The old way

How you’re probably running things right now

  • Revenue goes up
  • Payroll goes up
  • Managers multiply
  • Software stack looks like a SaaS graveyard
  • Meetings about meetings
  • Founder still answers Slack at 11 PM because nobody else knows how to do the thing

The new way

What happens when you stop accepting chaos

  • Clearer outcomes
  • Way less unnecessary work
  • Machines do machine work
  • Exceptional humans handle judgment
  • Founder regains control
  • Founder takes Fridays off without everything falling apart

Open one view.

Know.

Close it.

Go live your life.

07What we actually do

We rebuild work, not just software.

Revenue

  • Lead intake
  • Speed-to-lead
  • Sales follow-up
  • Quote / proposal follow-up
  • No-show recovery
  • Reactivation
  • Attribution

Customer

  • Onboarding
  • Communication
  • Service delivery
  • Reviews
  • Retention
  • Escalations
  • Customer risk

Operations

  • Handoffs
  • Scheduling
  • Job status
  • Approval queues
  • Exception management
  • Standard operating workflows

Management

  • Daily owner briefing
  • KPIs
  • Exception visibility
  • Capacity
  • Accountability
  • Decision queues

Labor

  • Work that can disappear
  • Work that can be simplified
  • Work AI can perform
  • Work software can automate
  • Work that can be outsourced or fractionalized
  • Work exceptional humans should own

Technology

  • Keep useful existing tools
  • Remove duplicate software
  • Connect systems of record
  • Build missing internal tools
  • Create custom applications only where the economics justify them

We don't promise all of this to every company. Every Operation Pina Colada engagement is determined by what produces the greatest economic leverage in that particular business.

08The adoption gap

Your team may use AI. That doesn't mean your company is AI-first.

  • ChatGPT drafts emails.
  • Copilot summarizes meetings.
  • Someone built a chatbot.
  • Marketing generates content faster.

Cool. But here’s the thing:

?Are leads handled differently?
?Is quoting faster?
?Did management disappear?
?Did reporting become automatic?
?Did payroll leverage improve?
?Did the owner gain visibility?
?Did repetitive work actually leave someone's plate?

AI adoption is not the same thing as operating differently.

That gap is what we close.

09Judgment

Intelligence is becoming cheap.

Judgment isn't.

AI can increasingly

  • Research
  • Summarize
  • Classify
  • Draft
  • Analyze
  • Monitor
  • Route
  • Execute defined tasks

But someone still has to know

  • What deserves doing
  • What should disappear
  • What matters financially
  • What should never be automated
  • Where humans create disproportionate value
  • What the customer actually wants

We don't sell access to intelligence.

We help you apply judgment to the company.

The goal is not to start with: "Who can we fire?"

The goal is to stop paying humans to do work that never required human judgment.

Sometimes that means your best employee becomes dramatically more valuable.

Sometimes it means the next hire never needs to happen.

Sometimes a role changes.

Staffing decisions remain the owner's decision. Our job is to show you what the work should look like when it is designed for the economics that exist now.

10Who this is for

For owners whose business is too successful to keep running the old way.

Ideal fit

  • $2M–$20M+ annual revenue
  • 5–75 employees
  • Owner-led / privately held
  • Meaningful payroll
  • Real recurring work
  • Multiple systems and multiple handoffs
  • Best employees buried in repetitive operations
  • Owner knows the company should be easier to run

Not a fit

  • Pre-revenue startups
  • Solopreneurs wanting prompts
  • People who think one Zapier flow is gonna save their business
  • Companies wanting an AI course
  • Companies unwilling to allow operational discovery
  • Companies merely wanting a prettier website

Strong fits include, but are not limited to

  • Home services
  • Professional services
  • Agencies
  • Ecommerce
  • Clinics / elective services where compliance permits
  • Field services
  • Property services
  • Manufacturing / distribution
  • Local multi-location businesses
  • Other established operating companies
11The Business Operator Diagnostic

Bring us the mess.

Don’t clean it up.

Don’t prepare a pitch deck.

Don’t pretend the CRM works better than it does.

Show us how things actually run.

We want to see

  • Where revenue enters
  • Where work gets stuck
  • Where information gets copied manually (because the “integration” never worked)
  • Where humans check other humans because nobody trusts the system
  • What you still personally monitor at 11 PM
  • What depends entirely on Susan being awake

Then we’ll identify

  • What should disappear
  • What deserves AI
  • What deserves automation
  • What still deserves a great human

We'll identify where the company is paying the largest complexity tax and what we would attack first.

Business Systems Diagnostic — 60 minutes

Business Systems Diagnostic — 60 minutes

For established businesses generally doing $2M–$20M+ annually.

12Two operators. One company.

We look at the whole machine.

Operation Pina Colada is not built around one person doing "marketing" and another person doing "AI." Both founders work across operations, AI, automation and agentic systems.

What makes the partnership powerful is that each founder also brings a different secondary lens to the same operational problem. One sees growth, economics and scale. One sees customer psychology, communication, creative strategy and the experience moving through the system.

Together, they diagnose the entire company — not one department.

Colin Carlsen

Operations, Growth & AI Systems

Colin brings deep experience across growth, operations and AI-enabled systems — looking at where a company is losing leverage, where technology should replace unnecessary work, and how the operating model can support greater output with less complexity.

Operational strategy · Business growth · AI systems · Agentic workflows · Automation · Implementation · Operating leverage · System architecture · Growth economics

Christina Cabral

Operations, AI Systems & Creative Strategy

Christina works at the intersection of operations, AI systems and creative strategy — identifying where work is breaking, where customers are being lost, where communication is weak, and where AI or automation should take over repetitive work.

She combines a Visual Communication Design degree from The Ohio State University with advanced training in modern direct-response copy and creative strategy through Genesis. That adds another layer: the system cannot merely function. It has to communicate clearly, move customers forward and make commercial sense.

Operations · Business systems · AI implementation · Workflow diagnosis · Customer journey · Direct response · Copywriting · Visual communication · Positioning · Conversion strategy

Colin

  • Growth
  • Scale
  • Operating leverage
  • Implementation
  • Systems architecture

Both

  • Operations
  • AI & agentic systems
  • Automation
  • Workflow redesign
  • Business systems
  • Diagnosis & execution

Christina

  • Creative strategy
  • Customer psychology
  • Direct response
  • Copy
  • Visual communication
  • Conversion

The company is not split into "tech" and "marketing." The company is viewed as one operating machine.

Together, Colin and Christina look at the company as one connected machine — revenue, customers, people, processes, software, AI and delivery.

We determine what deserves doing, what should disappear, what should be simplified, what AI should handle, what software should automate, and what still deserves an exceptional human.

We are not interested in installing technology for the sake of technology.

We are interested in producing a better company.

A system that works technically but fails to move people is still a broken system.

The software is not the product. The operating judgment is.

Why two operators matter

Most consultants look at one slice of the company. Marketing sees leads. IT sees software. Operations sees process. Finance sees numbers.

Operation Pina Colada looks across the seams between them — because that is usually where the expensive problems live.

Marketing generates the lead. The CRM receives it. Sales follows up. Operations fulfills it. Finance invoices it. Customer success retains it.

If any handoff breaks, the company loses money.

We diagnose the whole chain.

13Selected experience

Selected Brands & Companies From Our Professional Experience.

NBCUniversal
dentsu
Zumba
Keurig
Therabody
KXAN
MTailor

Additional companies & operators

Jack MasonThe Forbes FactorForbes RileyMacular ProgramOptimizeDr. George RozakisDo The Things StudiosElevated Properties GroupOlly RichardsI Will Teach You a LanguageColton LeeTeam Keto

Third-party credential: Colin Carlsen is a Meta Certified Media Buying Professional.

Meta Certified

The companies that win the next era won’t have the most people.

They'll have the best operators with the most leverage.

Your business was built for a time when “hire another person” was the answer to every problem. That era’s over.

If your company is successful but still requires too much human duct tape…

Bring us the mess.

Book the diagnostic Calm control after years of chaos.
14Questions

Are you an AI automation agency?

No. AI is one labor source inside the operating model we design. Sometimes the correct answer is AI. Sometimes automation. Sometimes simplifying a process. Sometimes eliminating it completely.

Are you trying to replace our employees?

No. We are trying to stop wasting expensive human judgment on work that never needed human judgment. Your strongest people should become more valuable, not more buried.

Do we need to replace our software?

Usually not all of it. We keep what earns its keep, remove what creates unnecessary complexity, and build only what creates economic leverage.

Do we need to know AI?

No. Understanding how your business works is more important. We handle the technical implementation.

Are you building us a custom app?

Sometimes. Custom software is a tool, not the offer. We build it when the business case justifies it.

What does an engagement cost?

Implementation scope depends on the operational leverage available. We determine fit and priorities during the diagnostic before recommending an engagement.

Do we own what gets built?

Where practical, we prefer client-owned code, data, domains and production infrastructure rather than trapping the company inside our service.

Bring us the mess