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George Dedopoulos

Blue Mountains, Ontario

AI built into how your
business actually runs .
A working system, not a strategy deck.

I work alongside the people doing the work, find the problem underneath the complaint, and build the system where it actually fits. Then I stay with it until it is useful.

See real builds

For businesses without a dedicated AI team and real operational problems to solve. Independent since 2007.

The actual job

The hard part is not
adding AI.

It is understanding the business well enough to know what should be built.

Most operational problems do not arrive with a clean specification. They sound like “we keep dropping this,” “only one person knows how that works,” or “there has to be a better way.” I get inside the actual workflow, find the problem underneath the complaint, and build from there.

Sometimes that means a digital employee. Sometimes it means connecting the systems you already have, rebuilding the process around them, or removing work that never needed to exist. AI is part of the answer when it earns its place.

The goal is not to add AI. The goal is to make the business work better.

What this is not

Another strategy document.

I diagnose, but I also build. The work includes the integrations, the awkward exceptions, the rollout, and what changes after real people start using it.

A prototype is not the finish line. It has to survive real data, real people, and a busy Tuesday.

How I work

Built inside the work.
Not beside it.

The process is deliberately close to the business. That is how an idea becomes something people actually use.

01

Find the
real problem

We start with the thing that is slow, fragile, repetitive, or living in somebody's head.

02

Sit inside
the workflow

I learn how the work actually moves, including the exceptions everyone forgot to mention.

03

Build the smallest
useful version

Something real, connected to your systems, and narrow enough to test properly.

04

Put it into
the day-to-day

The work goes into the real workflow, with real data and the people who will depend on it.

05

Stay until
it holds

We adjust around use, feedback, and what the business teaches us after launch.

Fit

This works best
when the edges are messy.

The problem crosses tools, teams, or job descriptions. The current process mostly works, but only because somebody keeps rescuing it. You want a working system, not a recommendation about one, and you are willing to let it change after real people start using it.

Probably not a fit

You want an AI feature because somebody said you should have one. You already know the exact app you want installed and only need a pair of hands. Nobody has time to explain how the work actually happens. Or the real goal is a presentation rather than a change in the operation.

Selected work

Receipts,
not adjectives.

Distributed operations

Removing the office as a technical dependency

The situation: A growing company depended on office-based infrastructure while its team was becoming global.

What I built: A decentralized operating environment across identity, files, communication, remote access, security, and documentation.

What changed: The team could work across time zones without the old office as a technical dependency. MFA and clearer access controls became part of the operation.

Connected service delivery

Making booking, payment, and accounting act like one system

The situation: Customer intake, scheduling, payment, and accounting all worked, but not together.

What I built: One connected flow across booking, payment, follow-up, and QuickBooks.

What changed: Less re-entry, fewer handoffs, and a system that matched how the business already served its customers.

Embedded technical delivery

Giving a creative agency a technical delivery arm

The situation: The agency had the strategy and creative work, but not an internal technical department.

What I built: A repeatable pipeline covering build, hosting, deployment, DNS, search issues, and the weird edge cases that arrive later.

What changed: The agency gained technical delivery it could use across clients without hiring it internally. The relationship has lasted more than a decade.

The standard I use on myself

I run my own work on a system I built and deployed into my real day. It reads the work coming in, keeps context across projects, catches commitments, and routes the next action. It is also what handled your inquiry. I cannot show you the private information inside it, but I can show you the architecture, the decisions, and what it has to get right before I trust it.

George Dedopoulos

About

I have been doing this longer
than the current language for it.

I'm George Dedopoulos. I have spent almost twenty years inside small and midsize businesses doing the technical work that did not fit neatly into one job description.

That has meant infrastructure, websites, security, automation, integrations, emergency fixes, and lately a lot of AI. The tools change. The job underneath them has stayed surprisingly consistent: understand the whole situation, find the part that actually matters, and make it work without turning the business into a technology project.

I am calm when things are messy, plain about what I know and what I do not, and much more interested in a system people use than one that demos well.

What I build

AI systems inside real workflows

Systems that can read, decide, draft, route, follow up, and keep context across the tools your business already uses.

Digital employees

A practical way to give repetitive coordination and information work a permanent owner. We start with one job, then add responsibility after it proves itself.

Workflow and systems integration

Email, files, CRM, booking, billing, reporting, websites, and internal tools made to work as one operation instead of a pile of subscriptions.

Embedded technical build work

Ongoing senior technical judgment and implementation for businesses that need the work done but do not need another department to manage.

Pricing

Start with the problem.
Then choose the shape.

Digital Employee

Start with one repetitive coordination or information job and get it working properly. Then add responsibility only after the first piece proves itself. You own everything.

$500 to start

$1,000 / month

Three-month minimum, then month to month.

Start small

Free intro

Tell me what is happening. You do not need to know whether the answer is AI, automation, integration, or something less interesting.

A few honest sentences are enough.

We will figure out what the real problem is and whether I am the right person to build it.

Ship

$3k – $15k

fixed fee

One operational problem, clear scope, working deployment, and an end date. Most projects run 2 to 6 weeks.

  • AI workflow buildouts
  • Operational automation
  • Systems integration
  • Internal tools

Work embedded

$2k – $4k

per month

Ongoing implementation and technical ownership for a business that needs somebody close to the work.

I can only do this properly with a few businesses at a time. If it sounds like a fit, tell me what is getting stuck.

Returning clients: hour packs are still available—5-hour pack ($600) · 10-hour pack ($1,000)—or just get in touch.

Let's talk

Tell me the part
that keeps getting dropped.

You do not need to diagnose it first. A few honest sentences about what is happening are enough to start.

  • What keeps getting dropped, repeated, or rescued?
  • Who has to touch it now?
  • What would be different if it worked?