Onelogic Traction

Bring AI into delivery without losing control

The problem isn't adopting AI. It's governing it.

AI's blind spot in the enterprise

Every company is adopting AI in software development. And almost all run into the same difficulties.

3 in 4of companies move less than 40% of their AI pilots into production — adoption stalls at the experiment.1
71% → 9%of large Italian firms have launched an AI project. Only 9% truly oversee it.2
halfof enterprise code is already AI-written — and 9 in 10 security leaders don't trust it.3

The problem isn't access to models — that's commodity now. It's using them inside real processes: existing architectures, pipelines, quality gates, traceability, compliance. Every team adopts a copilot for code, a chatbot for docs, an agent for tests. Each speeds up a piece.

No one governs the whole — yet.

And the clock is ticking. From 2 August 2026, the EU AI Act makes traceability, logging and human oversight legal obligations — no longer good intentions.

Where we're using it right now

This isn't a research project. It's how we're working, on real work, these very weeks.

Traction's method and tooling carry this work day by day: requirements tracked, decisions recorded, AI-assisted code with human review at every step. The sites are the part you can see; the weight is in the systems.

If this sounds familiar

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Sources
  1. Deloitte — The State of AI in the Enterprise, 2026
  2. Politecnico di Milano, Artificial Intelligence Observatory, 2026
  3. Gartner, 2026