AI retrofit · Louisville, KY + Delray Beach, FL

Most businesses don't need disrupting. They need retrofitting.

Landon and Andy Swan

Andy and Landon Swan have founded three companies from nothing. Now they work inside established businesses — learning how yours actually runs, putting AI where it takes real cost out, and building revenue lines on what you already own. You end up with a company that costs 20–50% less to run and sells things it couldn't sell before.

20–50%Operating expense removed
50–200%Revenue added through new products
3Companies founded, built and run by us

Put your own P&L in the model.

Type in your numbers, pick an outcome, and run it. Total expenses and profit calculate themselves.

The Retrofit Model Your statement, before and after

Your numbers today

Total expenses$12,750,00085% of revenue
Profit today$2,250,00015% margin

Total expenses and profit are calculated from what you enter. You can type shorthand — 15m, 750k.

After the retrofit

Revenue Today $15M After $15M

New lines built on what you already own: run the estimate to see it

Expenses Today $12.8M After $12.8M

Hover any block to see what sits in it.

Profit Today $2.3M After $2.3M

Margin 15% → 15%

Revenue today New revenue & profit Materials Fixed overhead Blue collar White collar Outside services Tech, data & process

Expenses run left to right from the lines AI barely touches to the ones it reshapes hardest. Hover any block for the detail.

What each outcome assumes
LineConservativeAverageOptimistic
Revenue+50%+125%+200%
Materials & direct costsScales with revenue+50%+125%+200%
Fixed overheadHolds flatNo changeNo changeNo change
Blue collar payrollScales with revenue+50%+125%+200%
White collar payroll−20%−40%−60%
Outside services & vendors−35%−60%−85%
Tech, data & process−20%−48%−75%

Profit is calculated, not assumed: revenue after, minus every expense line after it moves. These are outcomes we target across a full engagement, not a guarantee — the first conversation is where we find out which column your business lands in.

The part nobody says out loud

Landon Swan

“AI is coming for your industry. Either you harness it, or you lose to whoever does.”

Landon Swan Co-founder

This isn't a ten-year problem. Somewhere in your market there's a competitor with a fraction of your history and a fraction of your headcount, quoting faster than you, answering customers at midnight, and undercutting you on price without giving up margin.

The advantage doesn't go to the biggest company, or the oldest one. It goes to whoever puts this to work first.

You're holding what they'd kill for: customers, cash flow, reputation, and decades of knowing how the work is really done. That's the part that can't be built quickly. The rest of it can — and that's the part we do.

Two levers, pulled together

Efficiency pays for the build. The build is where the money is.

Cost cutting alone leaves you with a smaller version of the same company. We take the waste out of the work nobody enjoys doing, then spend that freed-up capacity on products and lines your competitors can't answer.

Today Year 1 Year 2 Profit today The build overtakes the cut Cut only Cut + build
Illustrative. Cutting alone flattens by the end of year one. The build keeps compounding.

Lever 01 — Cut

Take the drag out of the work

Not layoffs by another name. We move your people off the parts of their jobs that are copy, paste, look-up and re-type.

  • Quoting, estimating and proposal generation
  • Order entry, invoicing and collections follow-up
  • Tier-one customer support and inbound triage
  • Scheduling, dispatch and route planning
  • Marketing production and content churn
  • Reporting nobody has time to read

Lever 02 — Create

Sell what you're already sitting on

Every established business owns data, relationships and expertise it has never packaged. That's a new line, and it's usually closer than you think.

  • Your expertise, productized into a subscription
  • The data you already collect, sold as a signal
  • A self-serve tier below your sales team's floor
  • Faster quotes as a weapon, not a chore
  • Customer-facing tools that make leaving expensive
  • Segments your old cost structure locked you out of

Three ways in

We can teach your team, build it for you, or both.

Andy Swan

“We're operators, not a slide-deck vendor. Every engagement ends with something running in production — and someone on your payroll who understands it.”

Andy Swan Co-founder
Teach

We train your people

Hands-on work with the team that actually does the job — your estimators, your CSRs, your marketers — until AI is part of how they work, not a tool they forgot they had.

Best when you have talent and no time
Build

We build the system

We design, ship and run it. Real software against your real data, integrated with the tools you already pay for. You get the code and the keys.

Best when the fix is a product, not a habit
Both

We build it & hand it over

The usual answer. We build the first systems, your team ships the next ones with us alongside, and we leave when you stop needing us.

Best when you want this to outlast the engagement

We learn the business before we change anything.

A typical first engagement. Yours moves faster or slower depending on how much of your business still lives on paper.

01

Immersion

Week 1

We learn how your company actually works — not the org chart version. Ride-alongs, time with the people doing the job, an honest read of the P&L. No recommendations this week. Just understanding what you've built and where it strains.

02

Fresh eyes

Week 2

We map every recurring task and every unsold asset against what AI can genuinely do today, ranked in dollars. You get that map whether or not you hire us for the rest — it's useful either way.

03

First win

Weeks 3–6

We take the single highest-value item off that list and rebuild it end to end. One process, live in production, with a measured before and after. If the number doesn't move, you've spent a month finding out instead of a year.

04

Rollout

Weeks 7–12

The rest of the efficiency work goes in, one system at a time, each adopted before the next starts. Your team is in the room for all of it. This is where the 20–50% shows up on a real statement.

05

Expand

Quarter 2 onward

Now we spend the capacity we freed. New products, new segments, new pricing — built on the data and the margin the first four phases handed you. This is the phase that changes what the business is worth.

Who you'll actually be working with

Two founders, five people, no layers.

Andy and Landon lead every engagement themselves, backed by a three-person build team. Five of us do what a firm three times the size would quote you for — because we run SwanLabs on exactly the systems we install for you. You'll see the proof before you sign anything.

Andy and Landon Swan at Churchill Downs
Let's win together.Andy & Landon Swan · Louisville, KY
Andy Swan

Andy Swan

Co-founder

Serial founder and investor. Built and sold a trading platform, then spent a decade turning consumer behavior into investable signal at LikeFolio. He works on the question most owners avoid: what is this business actually worth to whoever buys it, and what would make that number bigger?

Landon Swan

Landon Swan

Co-founder

Co-founder of LikeFolio and founder of SwanPowers, where he builds AI-native trading software from a patent-pending interface out to the App Store. He's the one who turns the strategy into something running in production by Friday.

Behind us: a three-person team covering engineering, data and delivery — the same people on your account from week one to handoff. No associates, no bench, nobody learning your industry on your dime.

Tell us what your business does. We'll tell you what we'd retrofit first.

One call, forty-five minutes, no deck. Bring your revenue, your headcount and the process that annoys you most. You'll leave with a specific answer whether or not we work together.

Start the conversation
Email
hello@swanlabs.ai
Where we are
Louisville, Kentucky
Delray Beach, Florida
Who we work with
Established businesses doing $2M–$500M, with real customers and a cost structure built before any of this existed.