G-Fenix
Language
DATA · AUTOMATION & AI

Automate the work that just repeats.

If your team copies data between tools every week, that's not work — it's tax. We find the repetitive, error-prone tasks, connect your tools, and add AI only where it genuinely helps. Real time back, not a science project.

Azure AWS Python Power Automate Zapier LLMs
10+
YEARS IN DATA
100%
DELIVERED ON TIME
4
LANGUAGES
workflow.runner — g·fenix
Email trigger
Parse & sort
AI classify
Smart route
Update DB
Notify team
Done — zero clicks
Task #1 247 completed in 0.4s
Invoice routed → Accounting
Slack notified — no action needed
0
Tasks / day
0h
Saved / week
0
Manual errors
Runs 24/7 while your team sleeps
WHO IT'S FOR

Built for teams losing hours
to work a machine could do.

THE WEEKLY GRIND
The same task, every week

Someone exports a report, reformats it, pastes it somewhere else — every Monday. Predictable, manual, and easy to get wrong.

DATA BY HAND
Data moves manually

Information is re-typed between systems that don't talk to each other. It's slow, and one typo quietly breaks things downstream.

CURIOUS ABOUT AI
AI, but make it real

You keep hearing about AI and wonder what's actually useful for your business — without the hype or a six-figure platform.

WHAT YOU GET

Less busywork, more done —
and no black boxes.

We don't hand you a platform and disappear. We identify what's worth automating, build it, document it, and make sure you own it.

The right things automated

We identify what's worth it; not everything should be.

Tools that finally connect

Data flows between your systems automatically.

AI where it earns its place

Drafting, summarizing, classifying — not for show.

Assistants tuned to you

Generative-AI helpers shaped around your real processes.

Hours back, every week

The repetitive parts, handled while your team does the rest.

Clear documentation

So it stays maintainable, not a mystery only we understand.

HOW IT WORKS

We automate by payback,
not by hype.

01
Spot
We find the tasks that are frequent, manual and error-prone — the ones actually worth automating.
02
Design
We map the workflow on paper before touching a single tool, so we automate the right thing.
03
Build
We connect the tools, add the AI step where it helps, and test it on your real cases.
04
Hand over
We document it, train your team, and leave you in control — including how to switch it off.
FAQ

Straight answers on AI
and automation.

Will AI replace my team?
Tap to see answer

No. The point is the opposite: remove the boring, repetitive parts so your team spends time on the work that actually needs a human.

Close
Is this just ChatGPT with extra steps?
Tap to see answer

No. We use LLMs where they genuinely help — drafting, classifying, summarizing — but most automation is connecting tools and removing manual steps. AI is one ingredient, not the whole dish.

Close
How do you decide what to automate?
Tap to see answer

We map what's repetitive, high-volume, and error-prone first. Not everything should be automated — we tell you what's worth it and what isn't.

Close
Do you actually know this stuff?
Tap to see answer

Yes. We've built pipelines, connected tools, and shipped automations for real businesses — not just demos. Cengizhan codes it; we both QA it against your actual data.

Close
What does a "workflow" mean in practice?
Tap to see answer

A chain of steps that runs automatically: a trigger fires (new email, form, schedule), it does things (moves data, calls an API, drafts a reply), and ends with a result you care about — with zero clicks from your team.

Close