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AI eQMS for medical device and life science teams

An AI eQMS is a quality management system where the AI works on your live quality records rather than on documents pasted into a separate chatbot. Matrix Quality and Matrix Req do this under your existing access controls and audit trail, with human approval required before anything is written.

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Matrix One

The challenge

A chat window bolted onto a QMS is not an AI eQMS

The term covers two very different architectures, and the difference surfaces the moment an auditor asks who decided and on what evidence. It only sees what you paste. The assistant works on an extract, so its answer is already out of date and blind to everything it was not given. Nothing lands in the audit trail. The reasoning behind a decision ends up in a chat log that sits outside your quality system. Somebody retypes the output. That is where the time saving goes, and where transcription errors enter a controlled document. Your controlled content leaves your controls. Access rules, retention and data agreements stop applying the moment it is pasted elsewhere.

    Our solution

    AI as a function of the quality system itself

    Matrix Quality and Matrix Req put the AI inside the record, where it inherits everything the rest of the system already enforces. It reads the live record. Answers reflect the current state of the quality system, including the change somebody made an hour ago. It respects your permissions. People see what they are entitled to see. The assistant widens nobody's access. It writes only through review. Output appears in a review interface and reaches your documentation only when a person confirms it. It cannot alter or delete records. The AI has no capability to change existing data, so changes still go through your change control.

      Where the AI does real work

      Six quality processes where AI removes manual effort without touching the decisions that stay with a qualified person.

      Document Control and Change Impact

      See every document, requirement and test a proposed change touches before you approve it, rather than after somebody notices.

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      CAPA and Non Conformance

      Surface related records and prior occurrences and draft the investigation structure. Root cause and effectiveness checks stay with your quality team.

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      Risk Management to ISO 14971

      Find risks with no mitigation and mitigations with no verification across the whole file, assessed against ISO 14971.

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      Audit Preparation

      Assess technical documentation against the standard and export a structured gap list as CSV before an auditor writes one.

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      Technical Documentation

      Generate structured, reviewable design artifacts from your product data, aligned to the standards your team already works to.

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      Matrix Mind

      Ask about your quality system in plain language and get answers grounded in real project data rather than in general knowledge.

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      FAQ

      01What is an AI eQMS?

      An AI eQMS is an electronic quality management system in which AI operates directly on the live quality record, under the system's own access controls and audit trail, rather than through a separate chat tool working on pasted copies.

      Matrix Quality covers life science quality processes and Matrix Req covers design control, risk and technical documentation. Both are part of Matrix One.

      02Is an AI eQMS acceptable to auditors?

      The question an auditor asks is who decided, on what evidence, and whether you can show it. Because every AI output passes through a human review step and the resulting change lands in the audit trail, the decision record looks the way it always did.

      The validated step in your procedure is the human review, not the generation.

      03Can the AI approve a document or close a CAPA?

      No. Approval is a human act carried out by a named, trained and authorised person, and the AI never holds that role. It proposes, and a qualified person disposes.

      04Is our quality data used to train AI models?

      No. We do not train any model on customer data or on public data. Our AI agents use pre trained models from trusted providers under a zero data retention condition, so your data is never retained or reused.

      05Can we turn the AI features off?

      Yes. AI features are additive to the platform and your team decides which of them are enabled.