Read Less Machining aerospace components in light alloys such as aluminium and titanium faces major challenges: short batches and frequent design changes lead to long ramp-up times, while the slender geometries cause distortion and vibration issues yielding scrap rates up to 40%. These inefficiencies increase costs and environmental impact. ATLAS tackles these issues through three innovations: AI-powered digital twins for predictive modelling, intelligent fixturing and tooling with embedded sensors, and agent-based adaptive control for real-time process stability. The project targets a 20% reduction in process design time, 15% faster machining, scrap rates below 5%, and a 30% productivity increase, alongside a 30% cut in material and energy waste. By combining advanced algorithms with intuitive interfaces, ATLAS supports operator upskilling and digitalisation, reinforcing European aerospace competitiveness and SMART cluster goals for automation and sustainability.