ISO 42001 certified: putting trust behind AI-powered Quality
How BPA combines responsible AI, security and closed-loop processes to build a more trustworthy eQMS
Generative AI is rapidly changing how Quality teams search for information, prepare audits, manage training and make decisions. But in regulated environments, adopting AI is not simply a question of productivity. Quality leaders also need to know how AI is governed, what information it uses, how its outputs can be traced and who remains accountable for decisions. This is where the concept of defensible AI becomes critical.
BPA Solutions has achieved ISO/IEC 42001 certification, adding a formal framework for responsible AI management to its existing ISO/IEC 27001 certification for information security. Together, these certifications reinforce the foundations behind BPA's AI-powered eQMS and Q-Pilot Suite: secure, governed and accountable AI designed to assist Quality professionals without replacing their expertise.
Governed and defensible AI
AI can deliver significant value to Quality teams, but ungoverned AI can introduce new risks. In a regulated environment, an AI-generated answer or recommendation cannot simply be accepted because it sounds convincing.
A defensible AI approach requires clear governance, appropriate controls, traceability and human oversight. This is the philosophy behind our Q-Pilot Suite. Its role is to support Quality professionals by retrieving approved QMS information, providing guidance and generating traceable answers. The user remains responsible for reviewing information, making decisions and taking appropriate action.
This human-in-the-loop approach is particularly important when AI is used for activities that can influence compliance, audits, training or corrective actions. BPA's ISO/IEC 42001 certification provides an additional assurance that AI governance is treated systematically.
Security, traceability and control
BPA's eQMS is designed around a secure Microsoft 365 environment, with Q-Pilot operating on controlled organizational quality information. Configurable AI indexes determine which information can be accessed, while AI outputs remain traceable to their sources. But AI governance is only one part of the picture.
A trustworthy Quality Management System also needs strong information security, controlled records and end-to-end traceability. BPA's ISO/IEC 27001 certification reinforces its commitment to information security, while the eQMS provides structured processes for document control, audits, training, CAPA, risks and other quality activities. This connected architecture and closed-loop processes help organizations maintain a consistent record of quality activities creating greater visibility and accountability throughout the quality lifecycle.
For Quality leaders, the value of governed AI ultimately comes down to one question: can we trust it when it matters? BPA's approach is designed to make AI a controlled extension of the Quality Management System rather than an external black box.
Explore how BPA's Q-Pilot Suite combines Generative AI and automation to help teams work more efficiently while maintaining governance, human oversight and traceability.
