Matt Colin

Matt Colin

AI Automation
For Your Business

I help people do more of what they love by automating what they don't.

Work with meSee my work
20+
years inside enterprise systems
500+
contributors used platforms I built
$1M+
saved annually at Global Payments
50+
businesses served

How I work

Three moves. Same playbook every time. The job isn't to dazzle with AI. The job is to find the bottleneck and remove it.

01

Diagnose

Sit with the team. Watch the work. Find the hand-off where the business is losing days, not the tool that looks the most outdated.

02

Build

Ship the system, not a slide deck. Boring infrastructure first, then the magic. Production from day one, even when day one is small.

03

Hand off

Document, train the operator who owns it, then leave. The win is the system running without me. Not me running the system.

Where I've operated

Global PaymentsHeartland Payment SystemsSamtecStreet ModaStorytime for Toddlers

About

I spent twenty years inside enterprise systems that move money, people, and product. I ran innovation and automation programs at Global Payments. I rebuilt servicing programs at Heartland. I led engineering as a CTO before that.

What I do now is the same thing I always did: find the thing slowing the business down, then build the system that fixes it. The difference is the toolkit. AI didn't change what slows businesses down. It changed what's possible to fix.

Not prototypes. Not decks. Things that actually run.

Read the case studies

Selected work

Four shipped systems. One playbook: find what's slowing the business down, then build the thing that fixes it.

Illustration: a made-up piping drawing read into a bill of materials

The Takeoff Engine

Reads the drawing, writes the takeoff

For a Louisville-area mechanical contractor: scanned piping drawings in, a reviewable bill of materials out.

View case study →
Diagram: one intake, routing rules, the right approvers

I2I · Ideation to Implementation

$1M+ a year, conservative estimate

The intake and approval engine for a 27,000-person company. Built before AI, in production for years.

View case study →
Pipeline: find, filter, research, reach, score and draft, then a human edits and sends

The Prospect Research Engine

Hours of research to about two minutes

For a Louisville recruiting firm: prospects found, researched, scored and drafted, ready for a human edit.

View case study →
Find, score, send, reply, and a strip of 14 successful daily runs

The Follow-Up Machine

Runs itself every morning

Finds creators, scores fit, and sends the sequence on its own. I wrote the email once.

View case study →

More workThe Dealer Website Factory →

What I do

AI process engineering for businesses that need things to actually run.

The toolkit changed. The job didn't. Find the bottleneck. Build the fix. Hand it off so it runs without me.

  • Workflow audits
  • AI agent design
  • Production builds
  • Operator handoff

Process diagnosis

Where the business is losing days. Mapped, ranked by where the days are leaking, and scoped to a real fix.

Production AI builds

Agents and workflows that ship. Not prototypes. Not decks. Things that actually run.

Operator coaching

Train the person who owns the system once I leave. The win is it running without me.

Fractional engagements

Senior hire inside the room for a quarter or two. Then gone, with the system left running.

Latest

Where I think out loud. LinkedIn for posts, YouTube for longer breakdowns, Loom for working through specific problems.

WritingArticle

Everyone automates the busywork. I automate the judgment underneath it.

Tools automate the searching and the sending. The hard part they skip is the judgment: which lead is worth your time, what earns a reply. That's the part I encode.

Read the article →
WritingGuide

How much does an AI consultant cost? 2026 price ranges

Published 2026 price ranges for audits, workflows, custom agents, monthly support and AI phone answering, each with its source.

Read the guide →
LinkedInRecent post

Most "AI strategy" decks describe a tool. The ones that work describe a workflow.

The companies that get value from AI in 2026 are not the ones with the most models. They're the ones who figured out where the hand-offs break.

Read on LinkedIn →

More on LinkedIn and YouTube.

Get in touch

Want to talk? Pick a way. DM me. What's slowing your business down?

matt@mattcolin.comLinkedInBook a call