Company-wide adoptionTravel & hospitality
400 employees use AI every day
All on the company's own AI, model-agnostic (ChatGPT, Claude, Mistral…).
400 employees equipped
Full story coming soon
Customer stories
Transformations. Not demos.
How French companies put AI into production across their teams: the pain points tackled, the agents deployed, the adoption achieved and the results measured.
More than 150,000 people trust Genial in their everyday work
Crédit Agricole
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10 customer stories
Customer serviceRetail & distribution
100% of store phone calls handled by AI
Qualified, then routed to the right department, with no waiting.
100% of store calls handled
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SalesRetail & distribution
100% of appointment requests booked at the dealership
Leads qualified 24/7, from the website and WhatsApp, then passed to the sales team.
24/7 lead qualification
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SalesTechnology & software
Half a day a week back for every salesperson
Thanks to AI across the whole sales cycle.
½ day a week per salesperson
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ProcurementEnergy & environment
More than 2,000 suppliers analyzed
And contracts optimized at scale.
2,000+ suppliers analyzed
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Customer serviceBanking & insurance
An AI answer engine for the Deeptech ecosystem
The content of the Les Deeptech website, one question away, with sourced answers.
2 months of development
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SNCF
Customer servicePublic sector
A 95%+ success rate on document verification
An agent that checks eligibility documents for a large-scale operation.
95%+ success rate on verification
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MarketingTravel & hospitality
Marianne, an AI trip planner in 18 languages
Personalized itineraries to discover France, checked against Datatourisme data.
18 languages for international visitors
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Customer serviceTechnology & software
70% of support tickets handled by AI
A conversational agent inside the software, in four languages.
70% of support tickets handled by AI
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MarketingTravel & hospitality
€70K in agency fees saved and one FTE freed up
Three agents on SEO, travel guides and handwritten forms.
€70K saved on agency fees
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Learn more: the 8 role-specific Geni agents, our AI guides and use cases and Genial Academy to train your teams. You can also assess your AI maturity in 5 minutes.
Frequently asked questions about our rollouts
How long before an AI project shows its first results?
At GENIAL, the scoping phase (Useful AI) takes 2 to 3 weeks and ends with a prioritized roadmap; deploying the first agents (Usable AI) takes 4 to 6 weeks. The first measurable time savings therefore usually show up after two to three months, on a deliberately narrow scope.
Should you start with the whole company or with a single team?
With a single team. Every successful rollout we support starts with a pilot department for one quarter, with usage metrics tracked every week, before it is scaled up. That makes it painless to drop the uses that don't find an audience.
How do you measure the results of an AI rollout?
On four metrics: time saved per employee, real adoption (active users, not accounts created), the quality of the answers produced and consolidated ROI. These metrics are tracked continuously, not measured once at the end of the project.
Where is customer companies' data hosted?
In Europe, on sovereign infrastructure. Customer companies' data is never used to train models and stays partitioned by entity, with access rights aligned with those of the source tools.
Can an AI assessment be funded?
Yes. GENIAL is accredited as an AI Expert on behalf of Bpifrance, France's public investment bank: its Diag Data & IA program funds the assessment with a €4,000 grant. It covers the mapping of current uses, the prioritization of use cases and the roadmap.
Your customer story, next time?
Thirty minutes to identify, in your business, the two uses that will deliver measurable results in the first quarter.
