How can you secure an AI project using the ASN model?

In its 17 March 2026 edition, Placéco, a local business publication focusing on companies and regional development in Nouvelle-Aquitaine, examines how BeTomorrow approaches the use of artificial intelligence in business. The article analyses our approach to the rapid rise of generative AI and the challenges it poses for organisations, whether in terms of feasibility, return on investment, security, business adoption or scaling up with a clear ambition: to de-risk AI projects so that businesses and local authorities can move more quickly from concept to concrete use cases.

An ASN model to secure AI projects

Our positioning as a Digital Services Agency is designed as a complementary approach to the traditional model of digital services firms (ESNs), with whom we also collaborate. The aim is to go beyond mere technical execution by integrating business, product and usage considerations from the outset. As Alexandre Ribeiro explains, this model helps maintain “that balance between perspective, duality, the external perspective we can bring, and full integration with real-world challenges”. An approach that aims to ensure sound decision-making, reduce risks and accelerate launches, particularly in the field of artificial intelligence.

A hybrid approach to move from idea to product

To de-risk AI projects, BeTomorrow relies on a hybrid model combining existing solutions, strategic support and bespoke development. This approach enables use cases to be tested quickly, whilst retaining the ability to adapt them to organisations’ specific needs. This strategy is embodied in particular by AXLR, a two-year, €4 million investment programme supported by Bpifrance. Its aim: to train in-house teams, develop reusable technological building blocks and reduce both costs and time-to-market.

From scoping to industrialisation: a product-led approach

This approach also draws on practical tools such as our briefing centre, a demonstration space designed to help our clients take a step back and consider the potential uses of AI, and to plan for the future based on functional use cases.  AI is thus no longer treated as an isolated experiment, but as a product in its own right, designed from the outset to be deployed, adopted and to generate value.

The Cities Division: a concrete example of this strategy

This approach is already evident in the solutions developed by our Cities Division, which brings together our expertise in mobility, transport and services for local authorities. Among the projects resulting from this initiative are: Ally Mobility, a digital companion that uses conversational AI to improve real-time passenger information, and Planea, an AI assistant dedicated to providing information on local urban planning schemes, designed for citizens and local authorities.

Accelerating without the risks of AI

Through this strategy, BeTomorrow aims to address a key challenge for businesses and public sector organisations: harnessing the potential of AI without facing its uncertainties.

Read the full article on Placéco.