Custom AI operating systems · Miami, FL

Consolidate your entire company into one system.

We build custom AI operating systems for mid-market companies. Every workflow mapped, every redundant process cut, every tool consolidated into one system that runs your entire operation — with AI layered on top of clean foundations.

80+ systems shipped4+ years in the fieldFive clients at a timeFeatured at NYSESpeaker · Tech 2.0 Conference90-day guarantee
01 / THE SIGNAL

The largest companies in the world are done paying for software that half fits how they work.

Starbucks spends $400 million a year on software. This month they announced they're moving off IBM and Microsoft to build their own custom systems in-house. IBM dropped 3% on the news. Salesforce dropped 4%.

That's not a tech story. It's the clearest signal yet of how the next five years play out: companies stop renting a dozen tools that each half fit, and start running on one system built around how they actually work.

We saw it coming a year ago — moved everything we build off Airtable and low-code tools and went fully custom. It's already compounding.

Starbucks needs a nine-figure budget and years. A mid-market company can do this in a quarter. Our job is to be the ones who build it.

You get all of a company's data into one system. You build a single operating system for the entire business. You cut out bad, redundant processes. Then you layer AI on top — under the correct processes. That's the work: helping companies actually operate better. — Luke Pierce, Founder · @lukepierceops
02 / WHAT ONE SYSTEM LOOKS LIKE

We just shipped one for a warehousing technology company.

One system now runs their entire operation — all 450 active projects, in one place.

0
Lines of code
0
Screens
0
Database tables
0
Active projects managed
0
Background automations
1
System
  • The AI reads inbound receipts, estimates, and invoices — and structures the data automatically.
  • SOWs that took an afternoon now generate in one click.
  • Billing runs three rate models entirely on its own.
  • Reminders, emails, and documents nobody should be doing manually — 28 automations handle them in the background.
03 / RESULTS

Real systems. Measured outcomes.

95%
Reduction in process time
Catalyst Strategic Advisors
Implemented in 6 weeks · 24/7 automation
87.5%
Reduction in process time
Hipstr
Implemented in 5 weeks · creative workflow automation
83%
Reduction in process time
Jack Lingo Asset Management
Implemented in 8 weeks · automated reporting
80hrs
Saved per month
Beanstalk Web Solutions
Implemented in 6 weeks · development automation
75%
Faster project completion
Stryker Digital
Implemented in 4 weeks · field operations
28hrs
Saved per month
Sterling AI
Implemented in 4 weeks · AI workflow automation
04 / THE METHOD

Five steps. The first three never change.

01Map every workflowAcross the whole company — with the team members actually doing the work, not just leadership.
02Cut what shouldn't existRedundant processes go before anything gets automated. (This does not mean firing people.)
03Wireframe the entire buildHow everything moves — before a line of code is written or an automation is built.
04Build the operating systemConsolidating everything into one system: database, workflows, screens, permissions.
05Layer AI on topAgents, decision logic, and document intelligence — on clean foundations, never on chaos.
Steps 4 and 5 depend on what's already there. If you have a clean ERP or software setup, we build on top of it — as long as keeping it costs less than replacing it. No dogma, just the math.
05 / HOW WE THINK

Operating doctrine.

I.
Systems, not prompts.

The winners in AI translate business problems into architecture — databases, workflows, agents. Most companies don't need more tools. They need someone to map how they work and show where AI actually fits.

II.
The process is the product.

Most agencies compete on tools. We compete on delivery: every build is mapped, wireframed, documented, and trained. Four phases, three known failure points, zero surprises.

III.
Adoption is the metric.

You can ship the cleanest system in the world — if it sits untouched, you built nothing. We build with your team, fit your workflow, make the first win obvious, and watch usage like a hawk.

IV.
Foundations before intelligence.

Throwing AI — or a "second brain" — on top of broken processes does nothing. Clean data, clean workflows, then the AI layer. In that order, every time.

06 / WORKING TOGETHER

Three phases. One operating system.

Phase 01
The audit

We map every workflow, every handoff, every decision point and edge case across your company. You finally see how your business actually runs — and exactly what to automate, in what order.

Weeks 1–2
Phase 02
The build

Architecture first, then structured build cycles: foundations, workflow automations, the AI layer, QA. Check-ins at every phase — you'll never wonder what's happening.

A quarter, not years
Phase 03
Run & expand

Recorded walkthroughs, training for your team, admin guides, and a continuation plan. The system is done when your team runs it without us — then we help it grow.

Ongoing
We take five clients at a time 90-day guarantee Systems that last 3+ years
07 / THE TEAM

Small team. Deep in the work.

Luke Pierce
Luke Pierce
Founder

Founder of Boom Automations, featured at NYSE. 4 years and 85+ builds deep into custom AI operating systems for mid-market companies.

@lukepierceops ↗
Shedrack Mekoma
Shedrack Mekoma
Project Manager

Runs the check-in engine — pre-call alignment, live demos, same-day summaries. The reason clients never wonder what's happening.

Dimitrios Ladas
Dimitrios Ladas
Technical Lead

Owns the architecture: schemas, workflow logic, agent design. Where "build too fast, rebuild twice" gets prevented.

Ready when you are

Starbucks needs years. You need a quarter.

Book a systems audit. We'll show you exactly how your business runs today — and what it looks like as one system.