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Audit, certification, and standard news: new standard versions and requirements, software news, events, resources, and more. read article

Certification bodies operate in a world where reliability, safety, and trust are non-negotiable — and that means change is approached carefully, for good reason. But the AI regulatory landscape has moved quickly, and adapting to it is now part of staying ahead. The frameworks, standards, and scheme-level requirements are already taking shape. The CBs best positioned for what’s next are the ones… read article

For certification bodies (CBs) exploring AI, one key question is whether AI output can actually be used. AI tools can generate responses that look polished and complete on the surface, but still require reformatting, reinterpretation, or manual re-entry before they fit into a certification workflow. That gap is the structured output problem, and it’s worth understanding before it becomes a bottleneck.  What makes AI output useable? In certification work,… read article

Audit, certification, and standard news: new standard versions and requirements, software news, events, resources, and more. read article

Certification depends on trust: trust in processes, in data, and in decisions that must stand up to scrutiny over time. As artificial intelligence (AI) becomes part of certification workflows, trust moves to the center of the conversation. Without clear transparency and control, AI introduces uncertainty into environments that depend on consistency. Governed AI, like Intact AI, addresses… read article

Audit, certification, and standard news: new standard versions and requirements, software news, events, resources, and more. read article

Artificial intelligence (AI) is becoming part of everyday work, and certification bodies (CBs) are starting to explore how it can support audits and certification processes. Many of these tools are general-purpose AI applications designed to generate text or answer questions. While these can be useful in some contexts, they aren’t built for the structure, data, and requirements that define certification… read article

Auditors rely on accurate information to assess findings, evaluate compliance, and document audit outcomes. Part of the audit process involves working with information from previous audits, client documentation, and certification records stored within digital systems. Artificial intelligence (AI) is beginning to help auditors work more efficiently with this information throughout the audit process.  The growing volume of certification data CBs generate large amounts of information through their audit activities. read article