Background and challenges

Aplim wanted to build a medium-term AI vision covering all its educational solutions, proactively and innovatively integrating the needs of all stakeholders – teachers, students, but also support services (accounting, HR, governance, management). The objective was to identify, based on existing data in its information system, 360° use cases capable of generating a sustainable competitive advantage through the intelligent use of AI at every stage of the value chain.

Our two-phase approach

  1. Global audit phase
    • Inventory and mapping of all Aplim tools and data produced on a daily basis.
    • Interviews with all stakeholders to gather business needs and refine the strategic vision.
    • Production of a summary report providing key elements for prioritizing future quality audits and prototyping.
    • Identification of really useful data sets, to minimize study time in the next step.
  2. Prototyping phase and recommendations
    • Selection, technical and statistical analysis of the data required for the selected use cases.
    • Validate the feasibility of the first AI prototypes and estimate their cost.
    • Recommendations for the target data architecture, with a detailed costing for implementation.

This structured approach guarantees Aplim a clear, pragmatic AI roadmap aligned with its operational and strategic challenges, while optimizing the use of its existing data.

Following this audit, we signed a two-year partnership with Aplim to support them on all their data and AI strategy issues.