The collaborative DIPOOL (digital process online optimizer for intelligent laser machines) project is exploring the advantages of integrating artificial intelligence (AI) and machine learning (ML) into laser cutting and welding. The partners include four industrial companies and two research institutes, including the Fraunhofer Institute for Laser Technology ILT. AI that has been well-trained can detect system deviations, errors and quality defects faster and more reliably than classic monitoring and control systems. It can analyze sensor signals for more extensive pattern characteristics and even those previously unrecognized by experts. The partners estimate that the integration of AI + ML into laser cutting and welding systems will increase their overall efficiency by approximately 25 percent.