How AI Transformed Defence Training and Qualification Mapping

Overview

A Ministry of Defence unit supporting workforce capability and professional development across the organisation needed a faster, more accurate way to assess whether existing qualifications and apprenticeship standards could meet defined training requirements – and identify precisely where gaps remained. Working with Agilexe, the team moved from a manual, time-consuming process to a live, AI-driven mapping capability that compares training objectives against the qualifications and apprenticeship standards available through Ofqual and Skills England in minutes, with a level of detail and accuracy that was not practical to achieve manually at scale.

Challenge

• Manually reviewing qualification frameworks against defined training objectives was slow, inconsistent, and heavily dependent on individual expertise.
• The team had no reliable way to assess at scale how well existing qualifications or apprenticeship standards met a defined set of training requirements.
• Identifying training gaps between operational requirements and available qualifications required significant effort and often produced subjective conclusions.
• The organisation needed a capability that could operate at two levels: high-level course-to-objectives mapping for rapid assessment, and granular objective-to-objective mapping for detailed gap analysis.

Solution

Agilexe built on an existing capability within Shadow – which already allowed users to generate AI-proposed qualification and apprenticeship matches against defined training objectives – and significantly extended it in collaboration with the MoD unit.

The enhanced capability introduced live connections to the Ofqual and Skills England datasets, enabling Shadow to perform a full, real-time mapping of training objectives against the complete landscape of recognised qualifications and apprenticeship standards. The result is a two-tier capability.

At the first tier, the team can import lists of training objectives and map them against courses and qualifications at programme level – within minutes, receiving a highly accurate assessment of alignment and a clear definition of the training gap. At the second tier, once a specific qualification or apprenticeship standard has been identified as a candidate, Shadow maps each training objective directly against the relevant objective, knowledge, skill or behaviour within it. This produces a granular, evidenced gap analysis that makes the decision to adopt, adapt, or develop from scratch fully defensible.

Key features include:

• Live integration with Ofqual and Skills England datasets, ensuring mapping is always current.
• Two-tier mapping capability: programme-level assessment and granular objective-to-objective gap analysis.
• AI-driven matching that processes lists of objectives against the qualifications and apprenticeship standards available through Ofqual and Skills England landscape in minutes.
• Highly accurate gap definition – clearly identifying what a qualification covers, what it doesn’t, and what would need to be developed.
• Outputs that are traceable, evidenced, and defensible for governance and procurement purposes.

For the first time, we can map our training requirements against the full qualification landscape in minutes, not weeks. The granularity of the gap analysis has fundamentally changed how we make procurement and development decisions. It removes the guesswork entirely.

— Senior Analyst, Ministry of Defence