The best digital innovation practices condensed

By early 2026, artificial intelligence is no longer a topic of innovation. It is a topic of decision-making.

Organisations everywhere have experimented. Many have tested. Some have piled on. Few have truly transformed. And more and more CIOs are asking themselves a question that has become central: should we completely rethink the way we invest in technology? 

The rise of AI agents is profoundly changing the balance of power. Direct access to data, automation of entire chains, and bypassing software layers that have become rigid are now possible. But this new freedom requires clear choices, responsible governance, and teams capable of moving from intention to production.

At BeTomorrow, we have made a fundamental choice: rather than being a traditional digital services company, we are a Digital Services Agency, not only responding to our clients' technological needs, but also offering our solutions and ideas, co-piloting and anticipating together, bringing the experience and ambition of an agency to bear, in addition to our expertise.

This DSA model is all the more relevant for addressing the complexity of new digital products, in which AI adds an additional and essential dimension. But AI does not replace expertise in other areas such as technology, product, design or marketing. On the contrary, it is when these areas of expertise complement each other, and even merge within our teams, that they reveal their full potential.

Because artificial intelligence is not a substitute for the fundamentals of digital technology. It makes them more demanding. Poorly integrated AI does not create value. It shifts complexity.

This is the comprehensive approach we are implementing in the field. With AI agents in production in energy, mobility and agriculture. With Herdy, the AI assistant distinguished by two Product Awards, which provides a new form of access to farm data, developed for Seenergi. With Ally Mobility, our new AI solution dedicated to transport operators, and with interoperable MCP architectures.

These projects have one thing in common: they combine product vision, technological excellence and execution capability. They do not seek to "do AI", but to solve concrete problems and give control back to teams.

This issue of the newsletter reflects this. You will find evidence, recognised commitments and feedback from projects in production. Not to promise magical AI, but to show that when integrated in the right place, AI becomes a sustainable accelerator, serving fair, consistent and controlled digital solutions.