95% of AI projects fail to deliver measurable results.

This book is for those who want to be in the 5% that works.

AI for Professionals: A Practical Guide to What Works and What Doesn't

by Marco Galanti

This is not a book that will tell you to adopt AI at all costs, nor one that will talk you out of it. It's a method for understanding what artificial intelligence can actually do, where it can create value in your specific situation, and how to avoid the mistakes that sink most projects.

Download contents and introduction
Most AI projects fail.
But not because of the technology.
95% of AI projects fail to deliver measurable results. Not because the technology doesn't work, but because it's used the wrong way.

Poorly defined problems, unrealistic expectations, avoidable mistakes. This book was written to help you replicate the results of the 5% that works. You won't find hype or empty promises. You'll find a concrete method, based on verifiable data and hands-on experience with hundreds of businesses.

The seven recurring mistakes

  • A solution looking for a problem
  • Unrealistic expectations
  • Inadequate data
  • No human validation
  • Ignoring change management
  • Hidden costs nobody accounts for
  • The customisation trap
From understanding to implementation,
with no shortcuts.

Seven parts, sixteen chapters: a complete journey from foundational concepts to advanced implementation. With a fast-track path for those short on time.

Part 1

Understanding AI without the hype

What artificial intelligence really is, what it can do and what it can't. The three most widespread and dangerous myths that distort decisions.

Part 2

Solutions by investment level

Concrete implementations organised by budget: under €5,000, between €5,000 and €50,000, and over €50,000.

Part 3

Why 95% fail

The seven recurring mistakes that doom projects. Analysed with data and real cases so you can spot them before it's too late.

Part 4

The structural limits of AI

Hallucinations, systematic bias, and other limits that nobody will eliminate. How to manage them instead of ignoring them.

Part 5

Pragmatic implementation

From a phased approach to data strategy, from validation to organisational change management.

Parts 6 and 7

Measuring and looking ahead

Metrics, key performance indicators, continuous monitoring. Reliable trends for the coming years, separated from unjustified enthusiasm.

14 ready-to-use toolkits.

Not just theory: tools you can use straight away

Every chapter closes with a toolkit: checklists, decision frameworks, operational templates to apply directly in your work. Designed to be filled in, not just read.

Business self-assessment
Selection guide
Hidden opportunities
Hallucination management
Risk assessment
Implementation phases
Validation and quality
GO / NO-GO framework
No technical skills required,
just well-grounded decisions.

Entrepreneurs

Who need to decide whether and how to invest in AI, with limited budgets and resources, without being swept along by market enthusiasm.

Managers and executives

Who coordinate innovation projects and need objective criteria to evaluate proposals, vendors, and results.

Professionals

Who want to understand how AI can improve their work, investing only where the return is realistic and demonstrable.

Marco Galanti

He has worked in digital innovation and technology transfer for over twenty years, helping businesses navigate new technologies and turn them into concrete competitive advantages.

He holds a degree in Business Administration from Ca' Foscari University of Venice, followed by a specialisation in digital project management and the Advanced Training Course for Technology Transfer Specialists run by Politecnico di Milano and AREA Science Park.

He is currently Head of the Research and Innovation Unit at t2i, the consortium company promoted by the Chambers of Commerce of Treviso-Belluno, Venezia-Rovigo and Verona. In this role, he has supported hundreds of small and medium-sized enterprises in adopting innovative technology solutions.

AI for Professionals — book cover

The method to avoid wasting
your AI investment.

A concrete method for implementing artificial intelligence in your business, avoiding the mistakes that sink most projects.

Also available on Amazon and at major bookstores