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LOGITRON AI

Approach

AI-native engineering, with senior engineers in control

AI writes the first draft of the code. Our engineers own the architecture, review every change, write the tests and answer for the result. Working this way in a 100+ engineer organization, our founders measured up to 5× engineering throughput — without the fragile, insecure code that “quick AI builds” are known for.

Underneath sits COS — the Company Operations System, an operations methodology our founders developed and tested on 100+ companies at Stetska Consulting (opens in a new tab). It makes sure we automate a clearly described process, not a guess.

Core principle

A strict sequence, not a menu

  1. 01Discover

    Understand the business goal, the people involved and what the process must deliver. Define how success will be measured.

  2. 02Specify

    Describe the process step by step — trigger, inputs, steps, output, errors — and turn it into a technical specification.

  3. 03Build

    AI-native development: fast iterations, working software every week, senior code review on every change.

  4. 04Secure

    Security testing, data protection and AI-specific safeguards before anything goes live.

  5. 05Run & improve

    Launch, monitor, measure the result against the agreed metric and improve.

Each step is required for the next. Skipping one isn’t a shortcut — it is the most common reason AI and software projects fail.

The 10-point delivery standard

A solution counts as production-ready only when all ten points are in place

  1. Business goal and success metric
  2. Described process (trigger → inputs → steps → output → errors)
  3. User flows and design
  4. Architecture and technical specification
  5. Automated tests
  6. Senior code review
  7. Security review
  8. Monitoring and alerts
  9. Documentation
  10. Handover and support plan

What makes us different

Six reasons to start with us

Speed with control

AI-native development gives us up to 5× throughput — measured in our founders’ previous organization. Senior engineers review every change, so speed never costs you quality.

Process before code

We describe and cost the process first. Every automation comes with a clear “before and after” in hours and money.

Security by default

Security review is one of the ten mandatory delivery points — not an optional extra at the end.

ROI before the build

We calculate the expected return before writing code, and measure the real one after launch.

You own everything

Code, infrastructure, prompts, configuration and data belong to you. No lock⁠-⁠in.

Operators, not just coders

One of our founders has run organizations of up to 12,500 people; another scaled a venture from 5 to 150. We build technology that fits how a business actually operates.

Start small

The AI pilot sprint

You don’t have to transform the whole company to test AI. Start with one process. In two to four weeks you will have it described, automated, secured and running in production — with a measured result.