Insights

AI Delivery &
Project Management

Practical thinking on shipping AI products, managing delivery risk, and building agile teams that work in an AI-native world.

This blog covers what I learn shipping AI products in the real world — not theory, not hype. Topics span AI delivery management, agile transformation, LLM governance, and the practical side of leading teams that build with AI.

I write for delivery managers, engineering leads, and senior ICs navigating the gap between AI's potential and what actually ships. If you work in an environment where AI projects keep stalling, the posts here will be useful.

New posts published monthly. Most are in English; some in Italian for the local market. Each post reflects a real problem I encountered — either on a project, with a client, or inside a team I led.

All posts

Role & Career · 8 min read

AI Delivery Manager: Role, Skills, and How It Differs from a Traditional PM

What an AI Delivery Manager actually does, what skills separate them from a traditional PM, and why this role is becoming critical as AI projects scale.

AI Delivery Career Skills

Strategy · 10 min read

How to Implement AI in Your Company: A Practical Guide for Delivery Managers

The 5 most common mistakes in AI implementation and a practical three-phase framework: assess, pilot, scale. With real examples from production deployments.

AI Implementation Strategy LLM Governance

Risk Management · 7 min read

AI Project Risks: The 7 Most Common Failure Modes and How to Avoid Them

McKinsey reports 70% of AI projects fail to reach production. Here are the 7 failure modes I see repeatedly — and the delivery practices that prevent them.

Risk Delivery AI Projects