Deployment & Industrialisation

Enterprise AI Deployment

From a validated PoC to production. usuel.ai industrialises your AI solutions and integrates them into your systems for real, lasting impact.

Start with a PoC
95%
Average adoption rate
-25%
Fewer manual tasks
3 months
Average deployment time
100%
Projects in production

The 4 pillars of deployment

A structured approach for successful deployments.

Technical integration

Connection to your systems, APIs and databases. Robust, scalable architecture.

Training & adoption

User training, documentation, change management.

Security & compliance

Encryption, access management, audit trail, GDPR compliance.

Support & maintenance

Monitoring, fixes, enhancements, ongoing user support.

From prototype to production

Deployment is the critical phase where value becomes real. Our methodology ensures a smooth transition and successful adoption.

  • Future-proof architecture

    Modular, scalable solutions that adapt as your usage grows.

  • Change management

    Training, documentation, support: your teams become self-sufficient.

  • Continuous measurement

    Dashboards, KPIs and user feedback for continuous optimisation.

What's included

  • Integration with your systems
  • Load and performance testing
  • User and administrator training
  • Complete documentation
  • Post-deployment support
  • Skills transfer

Frequently asked questions about AI deployment

A PoC validates feasibility on a limited scope. Deployment (or industrialisation) means integrating the solution into your production systems, across the organisation, with every guarantee of security, performance and maintainability.

A standard deployment takes 2 to 4 months after the PoC is validated. The timeline depends on how complex the integration with your existing systems is, how many users need training, and your security requirements.

We work with your IT teams to define the integration architecture: APIs, connectors, data flows. We adapt to your technical stack (cloud, on-premise, hybrid) and your security constraints.

Training includes hands-on sessions for end users, user documentation, training for administrators and internal champions, and post-deployment support to help people get started.

We define KPIs up front: adoption rate, time saved, output quality, user satisfaction, ROI. A dashboard tracks these indicators and highlights areas for improvement.

Yes, we offer maintenance and support contracts: monitoring, bug fixes, minor enhancements, user support. The duration and level of support are set according to your needs.

AI moves fast. We design modular architectures that make it easy to switch models. We also keep track of developments so we can recommend the ones that matter to you.

We follow the strictest security standards: data encryption, access management, audit trail, GDPR compliance. For regulated sectors, we can deploy in a sovereign or on-premise environment.

Ready to go into production?

Have you validated a PoC or identified a mature use case? Let's discuss how to deploy it.