A southern aluminium operation knew training was costing production time: months to competence while operations waited. The function had drifted into compliance mode, with lag metrics and no honest picture of demand.
Situation
The operation had world-class equipment but a hollowed-out training function: passionate people and solid completions data, yet no clear training demand picture and no way for superintendents to state what they needed and when. Metrics were almost all lagging, so problems surfaced only after damage was done.
Complication
Leaders disagreed on whether training helped or hurt production time. The site also needed reasons beyond pay for people to choose the region. Training could have been that signal, but it was not. Surface fixes like “more trainers” missed that the architecture could not run well no matter the resourcing.
Intervention
PoweredBy joined a two-day Kaizen on training optimisation, mapped current state honestly, then reframed training using language the site already owned: asset management. The operation plans maintenance; training was still reactive. We defined leading indicators (functional excellence, solvency, demand, coverage, and delivery) on top of completion, using existing SuccessFactors and PowerBI discipline. A phased maturity model gave Phase 1 foundations, Phase 2 running training like a business, and Phase 3 training as advantage.
Outcome
45% faster time to competency
“We've never looked at training this way before. We maintain our equipment with precision. It never occurred to us to apply the same thinking to how we develop our people.”
What stuck
The maturity model and indicators stayed with the site, with no new technology stack, so habits stayed theirs. Once leaders see planned demand and measured capacity for people development, that lens persists.