AI modelling for next generation retrofit training

The retrofit assessor industry is suffering from low workforce retention rates, with as few as 8% of new entrants securing employment after training. This shortage is widening the skills gap and contributing to a 90% shortfall in retrofit activity required to achieve the government’s 2030 net zero commitments. Current Level 3 Retrofit Assessor training focuses predominately on developing theoretical knowledge, offering limited development of the practical, diagnostic skills now required under updated whole-house retrofit regulations.

This project will develop an AI-driven archetype engine and modelling tool to support Level 3 Retrofit Assessor Training. The solution will provide a dynamic, scenario-based environment of any UK domestic residence, enabling learners to analyse, manipulate, and design retrofit solutions across a diverse range of building types and contexts. Learners will be able to interactively adjust insulation, glazing, heating systems, and structural modifications to understand the impact on EPC ratings in real time.

By promoting hands-on learning and diagnostic skill development, this tool addresses a critical training gap. Coupled with a direct link to contracted work, the project offers strong potential to boost workforce readiness and drive real impact in the retrofit sector.