Netics
All solutions

Your process, automated end to end, with a human in control.

We design, build and run an automation pipeline for one specific process in your business. Rules-based steps are plain scripts; AI agents are used only where judgment is needed; nothing public or irreversible happens without your approval.

The problem

Repetitive work eats the week: copying data between tools, chasing documents, producing the same reports. Off-the-shelf automation breaks at the first exception, and an AI that 'does everything' is hard to trust with real work.

How it works

01

Discovery

We map the process with you and separate the steps worth automating from the ones that must stay human.

02

Design

The pipeline is split into stages. Each stage saves its result, so a failure costs a re-run, never lost work.

03

Build

Scripts, n8n workflows and AI agents, with automatic checks between stages that block bad output before it moves on.

04

Run and improve

Daily reports, monitoring and fixes. Every incident becomes a new automatic check.

Diagram of a Netics pipeline: inputs from email, business apps and APIs go to an AI agent that understands them and an AI agent that prepares the output, then to a rules-based script that validates, fixes and checks it. Every stage saves its state. A daily report goes to a human, who approves before delivery into your tools.
Scroll sideways to see the full diagram.

What you get

  • A working pipeline in production, on your infrastructure or ours
  • Architecture documentation (HLD and LLD) and an operating runbook
  • Automatic quality checks and a daily status report
  • Handover to your team or ongoing support

Built with

n8n, Python, Docker, AI agents (open or commercial models), the APIs of the tools you already use

A good fit if

  • A process repeats every week with clear inputs and outputs
  • Data is spread across several tools that don't talk to each other
  • Someone spends hours on copy-paste, follow-ups or reporting

We run this architecture in production every day on our own infrastructure: stages that save their work, automatic quality checks between stages, an AI second opinion, a daily report and a human approval before anything goes out.

Talk it through with an engineer

Thirty minutes to look at your process and whether this fits. You leave with a clear next step, whatever you decide.