Launch your AI project with a Proof of Concept

Launching an AI project requires a great deal of expertise, the right questions to ask and all that can be intimidating...

Do you want to get started with artificial intelligence, but don't know where to start? Our team can help you frame your needs, experiment quickly and assess the feasibility of your AI projects thanks to a pragmatic, impact-focused approach.

Our recipe

Clarify your objectives
AI is a means to an end, not an end in itself. First and foremost, we help you clearly define your objectives:
- What problem are you trying to solve?
- What gains are you expecting in terms of productivity, personalization or costs?
This first step enables you to prioritize your actions and target the opportunities with the highest added value.
Experiment small, but fast
Adopt a pragmatic approach. Our philosophy: start with a small scope, test quickly and draw concrete lessons.
- Identify a targeted, measurable use case
- Launch a Proof of Concept (PoC) to validate relevance and impact.
- Iterate to refine the solution or broaden its scope

In less than a month, we identify your needs and constraints, and together we draw up a functional PoC.

Arthur Guillermin Hazan

Head of innovation

Our support

Framing
Precise identification of target needs and services
Gathering of objectives, business challenges and available data
Ideation
Prioritization of ideas according to value and feasibility
Co-construction with your teams to come up with innovative ideas
Exploration
In-depth analysis of data sources and business processes.
Preparation of the elements needed to build an AI prototype.
Restitution & Decision
Presentation of results in the form of measurable values (benefits, costs, impacts)
Recommendations for project follow-up and large-scale deployment
Proof of Concept
Technical and functional validation of the selected idea
Rapid assessment of feasibility and potential ROI
Ongoing adjustments and iterations to refine the prototype

A collaborative approach

Because a project must be based on a real user-centered need, we propose an upstream collaborative ideation phase to determine the functional scope of the solution we're going to propose.