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.
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.
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.
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.