You will get n8n AI Automation Pipeline — Production-Grade & Enterprise Ready


Project details
Most businesses have processes that should run
automatically but still rely on someone doing
it manually every day.
I build production-grade automation pipelines
using n8n that handle the entire process: trigger,
logic, AI integration, error handling, retry on
failure, and real-time alerts so your team
stops babysitting the system.
What makes my work different from generic
automation setups:
Every workflow I deliver includes proper error
handling on every branch, automatic retry logic
when something fails, state management so nothing
gets processed twice, and multi-channel alerts
(Slack, Telegram, email) so the right people
know what's happening.
I've built this in production a 6-workflow
financial video pipeline that runs on schedule
with zero manual steps, and a render automation
system for a creative production company that
manages job queues, retries failed renders, and
notifies the team automatically.
If your team is doing repetitive work that
follows a pattern I can automate it reliably.
automatically but still rely on someone doing
it manually every day.
I build production-grade automation pipelines
using n8n that handle the entire process: trigger,
logic, AI integration, error handling, retry on
failure, and real-time alerts so your team
stops babysitting the system.
What makes my work different from generic
automation setups:
Every workflow I deliver includes proper error
handling on every branch, automatic retry logic
when something fails, state management so nothing
gets processed twice, and multi-channel alerts
(Slack, Telegram, email) so the right people
know what's happening.
I've built this in production a 6-workflow
financial video pipeline that runs on schedule
with zero manual steps, and a render automation
system for a creative production company that
manages job queues, retries failed renders, and
notifies the team automatically.
If your team is doing repetitive work that
follows a pattern I can automate it reliably.
Programming Languages
JavaScript, PythonWhat's included
| Service Tiers |
Starter
$150
|
Standard
$400
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 3 | Unlimited |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $200
Additional Revision
+$10Frequently asked questions
About Kurniawan
n8n Automation Engineer | AI Pipeline & Workflow Expert
Sidoarjo, Indonesia - 5:55 am local time
without manual intervention.
Most businesses waste hours every day on repetitive
tasks — data entry, follow-ups, file processing,
report generation. I build systems that handle all
of that automatically, reliably, and with full error
handling so nothing breaks silently.
Two systems I've built in production:
→ A news-to-video pipeline that ingests financial
news, processes it with AI, generates speech and
video, and uploads to cloud storage — zero manual
steps across 6 workflows.
→ An After Effects render automation system with a
Google Sheets job queue, automatic retry logic,
state machine, and real-time alerts to Slack,
Telegram, and email.
Both run in production. Both handle failures
automatically. Both notify the right people when
something needs attention.
What I work with:
n8n · OpenRouter · JavaScript · Google Sheets ·
AWS S3 · fal.ai · FFmpeg · API integrations
If your team is doing repetitive work that follows
a pattern — I can automate it.
Steps for completing your project
After purchasing the project, send requirements so Kurniawan can start the project.
Delivery time starts when Kurniawan receives requirements from you.
Kurniawan works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Scope Review
I review your requirements, map the full workflow logic, identify all integrations needed, and confirm scope before building starts.
Workflow Architecture Design
I design the node structure, state machine, error handling strategy, and data flow — shared with you for approval before development.