IA LIBRARY
Library of AI use cases by function for B2B SMEs
Access concrete use cases, prioritized by impact, to accelerate your operational gains without starting from scratch.
Ready-to-run AI use cases
We’ll help you select the right scenarios for your situation in the field: marketing, sales, operations, customer service and administration.
- Prioritize impact/effort to win fast
- Scenarios adapted to your tools and teams
- Gradual implementation with results measurement
Examples of use cases by function
Each use case includes the trigger, required data, execution steps, human validations and success KPIs.
Marketing: qualification and scoring
Sales: preparation and follow-up
Operations: sorting and orchestration
Support: intelligent prioritization
Admin/Finance: document controls
Our 8-step AI library approach
A structured method for transforming your automation ideas into a portfolio of exploitable use cases.
Cadrage des objectifs business
On aligne les cas d’usage sur vos priorités, contraintes et indicateurs de performance.
Cartographie des processus clés
On identifie les flux où l’automatisation réduit délais, erreurs et pertes de capacité.
Inventaire des irritants opérationnels
On repère les tâches répétitives à faible valeur qui freinent vos équipes.
Priorisation impact/effort
On sélectionne les cas à déployer en premier selon gains, effort et risque.
Design des cas d’usage
On détaille déclencheur, logique, données, exceptions, responsabilités et KPI.
Validation technique et risques
On valide intégrations, sécurité, qualité des données et contrôle humain requis.
Pilotage d’un premier lot
On lance un pilote mesurable pour confirmer la valeur avant extension.
Industrialisation et gouvernance
On documente standards et gouvernance pour maintenir la performance.
FAQ IA Use Case Library
The answers you need to get started quickly, with concrete, profitable AI use cases.
The library is used to prioritize and frame the best use cases. Full implementation follows, step by step.
Yes, we design cases for your level of maturity, and prefer maintainable low-code solutions.
We use an impact/effort matrix and validate data, tool and operation dependencies.
Yes. We use your existing tools and only add the necessary integrations.
In general, a first limited batch to validate the value quickly, then progressive extension.
Yes, adoption is critical: scoping workshops, scenario validation and method transfer.
Yes. Each use case is associated with KPIs to measure real gains.
We move on to the AI delivery playbook and the operational implementation of priority cases.
