PoC & Prototyping
Generative AI Proof of Concept
Validate your AI use cases in real conditions before industrialising. usuel.ai builds working proofs of concept in 4 to 8 weeks.
Speed
Tangible results in 4 to 8 weeks, not 6 months.
Validation
Test the real value before investing heavily.
Measured ROI
Concrete indicators to justify industrialisation.
Iterative
Continuous adjustments based on feedback from the field.
A PoC in 6 weeks
Our proven methodology for fast, reliable results.
Week 1
Scoping
- Defining the scope
- Data access
- Technical architecture
Weeks 2-3
Development
- Model configuration
- Data integration
- First tests
Weeks 4-5
Iteration
- User testing
- Adjustments
- Optimisation
Week 6
Delivery
- Documentation
- Training
- Recommendations
What you get
A usuel.ai PoC is a solid foundation for industrialisation, far more than a throwaway prototype, with everything you need to scale up.
- A working, testable prototype
- Complete technical documentation
- Performance assessment
- ROI estimate at scale
- Industrialisation plan
Minimal involvement from your teams
We take care of development. Your involvement:
- Initial scoping meeting (2 hrs)
- Weekly check-in (30 min)
- Testing sessions (2-3 hrs per week)
- Access to data and systems
Frequently asked questions about AI PoCs
An AI PoC is a proof of concept that validates the feasibility and value of an AI use case in your real context. It is a project limited in scope and duration (4 to 8 weeks) that produces a working prototype your teams can test.
A PoC reduces risk: you confirm that AI really adds value to your use case, with your data, in your context. It is the chance to identify the adjustments needed before investing in a large-scale deployment.
A usuel.ai PoC usually takes 4 to 8 weeks, depending on the complexity of the use case. We favour short cycles to give you quick visibility on results and allow iterative adjustments.
The PoC includes a working, testable prototype, technical documentation, a performance assessment (accuracy, processing time), recommendations for industrialisation, and an estimate of the projected ROI at scale.
We work with your real data (anonymised if necessary) to make sure the results are relevant. A representative sample is enough for the PoC: from a few hundred to a few thousand examples, depending on the use case.
Yes, that is the goal. The PoC is designed to scale: modular architecture, documented code, durable technology choices. If the results are conclusive, we can move straight on to industrialisation.
The cost depends on the complexity of the use case. A standard PoC costs between €15,000 and €40,000 excl. VAT. Some PoCs can be included as part of the Bpifrance Data AI diagnostic. Contact us for a tailored quote.
We need a business sponsor (who validates the value), a technical lead (access to data and systems) and testers (end users who assess the prototype). This represents a few hours a week.
Ready to validate your AI use case?
Let's talk about your project. We will tell you whether a PoC makes sense and how to structure it to maximise your chances of success.
