Innovation, software and strategy expert
Marco Milani
Electronic Engineer, PhD,
Founder & CEO of IdeaTech
About me
Engineer, entrepreneur, innovator
I believe in solid, tailored and sustainable innovation - built with method and shaped by vision.
I am the founder and CEO of IdeaTech Srl, a boutique innovation firm where every software project is designed to last, evolve and generate lasting value
For over 20 years, I have worked to make technology a strategic lever for growth. I have built solutions adopted by large enterprises, public administrations and international organisations looking not just for a vendor, but for a technology partner capable of reading the future and turning it into action.
Along the way, I have developed frameworks such as Kamaleont® — a code generation engine that increases developer productivity by up to 70% — and Slick®, an agile methodology designed to keep budget and objectives under control even in the most complex projects.
I am an active member of a global entrepreneurs’ network, because I believe the best ideas emerge from the exchange of experiences, cultures and perspectives.
I don’t just build software. I build digital strategies, strong teams and organisations that are ready to embrace change.
What I do
From concept to delivery, I support companies and organizations in building high-impact software solutions.
Digital strategy & business vision
I analyse complex needs and turn challenges into clear, actionable paths - aligning every technology decision with strategic business objectives. My approach is pragmatic, yet always driven by sustainable innovation.
Methodological & technological innovation
I have developed tools such as Kamaleont®, which accelerates software development without compromising quality, and Slick®, an agile methodology that integrates financial control with adaptability. These are solutions built to deliver efficiency, reliability and long-term vision.
Entrepreneurial leadership & global ecosystem
As founder of IdeaTech and active member of an international entrepreneurs' network, I promote innovation that grows from the exchange between industries, cultures and markets. I build strong relationships and working environments where technology, people and strategy evolve together.
My key areas of focus
Artificial intelligence
AI and intelligent agents
AI is often seen as a tool for the individual: a personal assistant, an individual support, a way to make someone "a little better" thanks to technology.
My interest has always been elsewhere.
From the very beginning, I asked myself how to bring AI inside the organisation - into its processes, into the mechanisms that hold people, roles and responsibilities together. Not as a theoretical exercise, but as part of real work.
Today it is increasingly clear that the shift is not quantitative, but structural - because many people being slightly more productive does not make a company more structured or intelligent.
Intelligent agents represent the natural evolution of this path.
I am working on systems where AI takes on roles, communicates with other agents and actively participates in the management and development of projects. Not generic assistants, but actors within the process - project leaders, developers, operational figures that collaborate, challenge each other and surface decisions.
This is where AI stops being an individual tool and becomes the core engine of an organization.
Optimisation in complex environments
Genetic algorithms and optimisation
I have worked with genetic algorithms to tackle problems where no single "right" solution exists but only many possible solutions, often competing with one another. In these cases, searching for the absolute optimum makes no sense. The real work lies in finding acceptable equilibria.
You start from a set of solutions, observe what works best, combine different alternatives and introduce variation — progressively exploring the space of possibilities. It is a way of working that embraces uncertainty and requires thinking in trajectories rather than definitive answers.
Public sector debt collection
The debt collection ecosystem
The debt collection ecosystem is one of the longest and most formative threads running through my work.
A context where software must coexist with the rules, constraints and responsibilities typical of public administration — and where continuity matters more than any technological novelty.
This is a domain where solutions cannot be designed merely to "work today". They must hold up over time, adapting to evolving regulations, layered processes and operational demands that allow no interruption.
Foundational work, built to last - requiring a focus on stability before innovation, and sustaining the evolution of public processes without losing coherence.
Agile project management methodology
Slick®
Slick was born from a very concrete problem.
Working on complex projects, I often witnessed a growing gap between what was happening on the technical side and what was happening on the economic and organisational side. Methodologies that were effective from a development perspective left critical areas uncovered - control, sustainability, accountability.
Slick is the attempt to hold these dimensions together.
A methodology designed to govern projects in conditions of uncertainty - without sacrificing flexibility, but without surrendering control either. A way to make decisions, costs, competencies and the real progress of work visible while the project is still underway.
Over time, Slick has evolved alongside the problems it was built to address.
Today it is entering a new phase, where process management intertwines with artificial intelligence - not as an end-in-itself automation, but as structural support for reading data, understanding project status and shaping better decisions.
Slick remains what it has always been:
a method for making complexity governable, even as tools and contexts change.
Software development
KAMALEONT®
Kamaleont was born to address a structural problem in software development: the difficulty of evolving systems over time without having to rewrite them from scratch.
The core idea is automatic code generation - understood not as a shortcut, but as a way to make software more robust, consistent and governable throughout its lifecycle.
An approach that standardises what is repetitive and focuses human effort on the parts that are truly specific and strategic.
My book
Prompt Engineering:
The Essential New Skill
Surviving and thriving in the age of artificial intelligence
At a certain point, it became necessary to stop and bring some order to things.
To give shape to what I had studied, tested and applied in the field over the years — especially in the day-to-day work with artificial intelligence.
That’s how the book “Prompt Engineering: The Essential New Skill – Surviving and thriving in the age of artificial intelligence” came about, published in 2025.
It isn’t a theoretical essay, but a practical handbook, built on mistakes, hard questions and real results from my own work and that of the IdeaTech team.
The book brings together principles, methods and real examples for working better with AI — with awareness and control.
It’s written for anyone who feels overwhelmed by the pace of change, anyone who’s still wary of it, and anyone leading a team that needs to bring AI into its processes without losing clarity.
More than a book about artificial intelligence, it’s an attempt to think through how to stay human, competent and accountable while the tools keep changing.
Latest insights
What AI do we actually need?
Seven postures facing AI. Today I close the series with the first question to ask yourself. Seven different ways of approaching the AI revolution. Each one with a blind spot. One of them is yours, today. The first question you need to ask yourself about AI isn’t “what AI do
The process thinker
Seven postures facing AI: the Process Thinker. Some time ago I had a conversation with a serial entrepreneur — many exits behind him, calm and attentive eyes. He was one of the few people I’ve been able to talk to about determinism in AI-governed processes, about how to mitigate the
The 7 postures of those who decide on AI
Over the past two years I’ve spoken with many entrepreneurs, CEOs and technical leaders wondering what to do with AI. I made proposals. I got quite a few of them wrong. While I was reworking them, I began to notice a pattern I hadn’t expected. I was building solid proposals