Insights

AI compliance agent reach exceptional accuracy on assessments

AI compliance agent reach exceptional accuracy on assessments

An AI-based dual-agent system assessed Design controls and IEC 62304 compliance documents with 97.5% expert-validated accuracy and repeatability ranging from 99.8% to 100%. For quality teams still working through compliance assessments manually, the results show what a more consistent and auditable approach could look like.

AI compliance agent reach exceptional accuracy on assessments

AI compliance agent reach exceptional accuracy on assessments

An AI-based dual-agent system assessed Design controls and IEC 62304 compliance documents with 97.5% expert-validated accuracy and repeatability ranging from 99.8% to 100%. For quality teams still working through compliance assessments manually, the results show what a more consistent and auditable approach could look like.

Why AI-native product development compresses the innovation cycle

Why AI-native product development compresses the innovation cycle

AI-native product development places artificial intelligence at the centre of how products are conceived and built, rather than treating it as an addition to an established process. It shortens feedback cycles, integrates quality assurance into day-to-day development, and allows teams to evaluate a wide range of design options far more quickly than sequential methods allow. For organisations looking to increase development velocity, the shift represents a structural change in how product work is organised, not simply an upgrade to individual tools.