Most businesses are one system away from doing twice as much with the same team. I build the AI agents, automation systems, and infrastructure that close that gap — for business owners who are done leaving it on the table.
Charlotte, NC · nickgeorgeai.com
$1.8Bqualified pipeline generated
Why I build what I build
Five years in the field. A million-dollar sales org at 24. Then a second career building the systems that do what an army of people used to.
I spent five years in door-to-door sales before I ever wrote a line of code. I learned how people make decisions, what actually moves someone from hesitation to action, and what it means to earn trust in thirty seconds at a stranger's door. That's not a soft skill. That's a system — and once I understood it, I could build for it.
At 24, I built a million-dollar sales company from the ground up. Over 120 salespeople on contract, 77 consistent producers, $1.2M+ in door-to-door sales in a single year. No investors. No playbook. Just the obsession to figure it out.
When I eventually taught myself to code, I wasn't starting from scratch. I was applying everything I knew about human behavior to the way systems are designed. That combination is rare. And it's why the AI and automation work I do doesn't just function — it gets adopted.
I've built production systems for Fortune-scale enterprises and scrappy growth-stage companies. The work that makes me most proud is the kind where, six months later, a team can't remember how they operated before. Fix the process. Change the outcome. That's the only metric that matters.
Build the unfair advantage
Here's where that gap gets closed.
Connect AI directly into how your business runs — agents, MCP servers, and custom models wired into your existing tools and workflows so your team actually uses them.
Salesforce ↔ web automations spanning nine brands at Cotton Holdings — +45% conversion lift.
Build agents that handle the work your team shouldn't be doing manually: research, routing, drafting, decisions. Connected to your APIs and tools. Running while you sleep.
MCP server + agent infrastructure in production at Registix — used daily by internal teams.
Ship the software that moves the needle — dashboards, automation layers, integrations, and internal tools that cut cycle time and free your people for higher-leverage work.
14 field and back-office applications at Cotton Holdings — finance automation recovered 18 hrs/week.
Fix the process. Change the outcome.
Here's how I find that answer and build the system that fixes it.
Phase 01
We talk through your operations until we can name the exact constraint. Not "AI strategy" — the specific place where time, money, or people are leaking.
Phase 02
I map out what gets built, how it connects to your existing tools, and what done looks like — before a line of code gets written.
Phase 03
Deliver working software with docs and context your team can own. The goal isn't dependency — it's a system your people can run and build on.
Automate the grind. Own the growth.
$1.8B
In qualified lead pipeline generated across five brand properties — from organic systems, not paid acquisition.
+45%
Website conversion lift across five brands — same traffic, closing at a meaningfully higher rate.
30%
Faster AI workflows — measured across 100+ live employees in production. Every minute saved is payroll that stays in your pocket.
50%
Release cycles cut in half — your team ships faster, roadmap commitments hold, and deployment stops being the bottleneck.
15%
More output from the same team — higher volume handled with zero added headcount or vendor spend.
$1.2M+
In door-to-door sales in a single year — built the company from the ground up at 24, with over 120 salespeople on contract and 77 consistent producers. No investors. No playbook. Before touching a single line of code.
50+
Young adults mentored when they had nothing. One — homeless, no family — now married, has a child, and runs his own business. Another — a high school grad with no job and no plan, whose mom called asking for help — is now making well over six figures.
What is the grind costing you?
Where the work happened
Nov 2025 — Present
Senior Backend Developer
Backend services and production AI/agent infrastructure for inventory and logistics operations.
Jul 2023 — Jul 2025
Application Architect V · Contractor
Large-scale modernization, forensic data quality work, and tools that unblock trading operations.
Dec 2018 — Jul 2023
Principal Consultant · Growth Engineering & Digital Strategy
Fractional technical leadership spanning multidisciplinary teams, ML-backed products, and revenue-driving digital infrastructure.
Dec 2016 — Dec 2018
Marketing & SEO Specialist (Engineering focus)
Automation-heavy marketing systems that connected field operations with revenue teams—delivering measurable business lift across five brand properties.
Sep 2014 — Jan 2016
CFO
Built a million-dollar sales company from the ground up at 24 — before ever touching a line of code.
Capability map
10 Credentials · 3 Issuers · All Verifiable
Recent certifications across applied AI, generative AI for business, and AI-assisted engineering — earned alongside the production systems they describe.
Google × Coursera · Professional Certificate
Seven courses. Twenty-plus AI artifacts shipped. One custom AI solution, vibe-coded end to end.
7 courses completed20+ ai artifacts builtMay ’26 awardedUN3PPH01GQJX verify id · coursera
Straight answers
The operations audit is $4,500 — fixed price, one week, and if it doesn't surface savings worth more than its cost, you don't pay. Build work is scoped from the audit's roadmap, so the ROI case is on paper before anything gets built. No retainers required.
The audit runs one week from kickoff to roadmap handoff. First builds typically ship in weeks, not quarters, because each one targets a single measured bottleneck. You see working software before you commit to more.
MCP (Model Context Protocol) is the open standard that lets AI models work with your real systems — inventory, CRM, documents — instead of guessing. An MCP server is the secure bridge that makes that possible. It's the difference between a chatbot and a system that does actual work.
You own everything: code, infrastructure, and documentation. Your team gets trained on operating the system, and support is available without being mandatory. Nothing is held hostage to a retainer.
Based in Charlotte, NC, working with operators across the U.S. Audits run on-site or remote. Logistics, distribution, and field-services companies are the home turf.