The core use. Measure each person against their role, aim their learning only at their gaps, and re-measure to show the improvement. Development budgets stop being sprayed across a catalogue and start closing the gaps that hold performance back. This is the individualised learning journey in its purest form.

Succession usually runs on opinion. With every role decomposed and every person measured, readiness becomes visible: who is close to the target role's competency profile, what specific gaps remain, and the aimed journey that closes them. In regulated financial services, where competence must be evidenced, that visibility is worth having on file.

People are more portable than their job titles suggest. Because roles share competencies, the engine sees where someone's measured profile already overlaps a different role, and what short journey would complete the move. Hiring from within stops being a guess about potential and becomes a measured match plus a plan.

Aggregate the measured picture and leadership sees the organisation's real capability: where proficiency is deep, where it is thin, and how it maps against where the business is going. As AI reshapes what roles require, you can re-anatomise the role, re-measure, and plan the transition with evidence rather than sentiment.