The best AI use case improves a frequent process, has usable data and can be measured without disproportionate risk.
Ten practical use cases
- Lead qualification
- Meeting preparation
- Customer support
- Internal document search
- Document extraction
- Email and ticket routing
- Drafting assistance
- Anomaly detection
- ERP forecasting
- Cross-tool workflow automation
Prioritise before building
Score expected value, frequency, data readiness, integration effort and risk. A simple reversible pilot is usually a stronger first project than a broad autonomous system.
Move from an idea to an operational scope
Document the current process, monthly volume, users, systems, available data, common errors and expected outcome before selecting a model. This baseline makes value measurable and exposes missing data or ownership.
Set autonomy according to risk
Start with read-only access or a draft submitted for human approval. Allow execution only for clearly authorised and reversible actions. Sensitive, uncertain or exceptional cases should be escalated with their context and sources.
Test and measure in production
- Quality on a representative test set.
- Processing time and manual rework.
- Tool errors and human escalation rate.
- Actual adoption by the intended users.
- Cost per completed and accepted operation.
France Num recommends a progressive approach based on concrete business needs, clear objectives and employee involvement. Official guidance: https://www.francenum.gouv.fr/guides-et-conseils/intelligence-artificielle/comprendre-et-adopter-lia/comment-deployer-lia