
Every year-end, it’s the same story.
Objectives pile up, and one keeps coming back: “Start using AI next year.”
But between operational priorities and the complexity of the topic, many companies end up postponing it, or diving in without a proper framework.
Result: most AI projects stall.
According to a recent MIT report (The GenAI Divide), only 5% of generative AI initiatives go beyond the test phase.
The others?
POCs that lead nowhere, misused budgets, and teams frustrated by a tool they don’t really understand.
Over the past few years, many organizations have wanted to “do AI” before even knowing why.
They built impressive prototypes, but disconnected from real-world use.
At Ask Mona, we’ve taken the opposite approach.
Our method relies on a simple principle: start from use cases, not from tools.
Before writing a single line of code, we help our partners identify the precise moments where AI can:
Every project starts with a scoping and use-design phase.
That’s what makes the difference between a flashy experiment and a sustainable deployment.
Ask Mona has developed several solutions tailored to your needs:
Discover all our solutions (Essential, Enhanced, and Immersive) here.
Each project is built in close collaboration with your teams, to ensure real skill-building.
We don’t deliver a black-box AI. We help you understand and manage your own system.
For nearly ten years, Ask Mona has been supporting museums, media, institutions, and companies in their AI transformation.
Our strength: operational projects, delivered fast.
At TF1 or SNCF, we’ve been able to deploy a complete system in less than two months, with very positive user feedback.
This experience now allows us to industrialize best practices: framing, content production, testing, deployment, and monitoring.
In short: you no longer need a full year to launch your AI project.
Artificial intelligence is no longer an experiment. It’s a competitiveness lever.
But you still need to know where to start.
At Ask Mona, we help you structure, prioritize, and deliver your AI roadmap before year-end.
From strategy to use cases, all the way to operational rollout.