Transform Your Product, Quality and Safety Management Programs with Applied AI that Drives Efficiency and Insight

Next Generation AI-infused Enterprise Quality and Safety Management System – A Frost & Sullivan Whitepaper

Let’s look at one example for audit:

Audits are an indispensable tool for continuous improvement as well as compliance with quality, safety, and product lifecycle standards. However, managing the different types of audits, consolidating findings, and then acting on findings generated from audits can easily become a challenge, especially if it is needed across different locations.

Let’s say an audit manager scheduled an internal audit for a manufacturing site in Chicago. During the onsite audit, the auditor must assign each audit finding with a finding type which can be a subjective decision. With CQ.AI, the auditor gets a recommendation for the audit finding type based on the narrative description entered whereas CQ.AI simply has compared it to similar previous findings in the system.

Once the audit is done, the site manager receives the report of the audit findings. To truly benefit from the audit, the site manager needs to assess the findings and compare them to previous findings to notice any trends or reoccurrences. With CQ.AI there is no need to waste time manually going through previous audit records. The site manager automatically gets a list of similar audit findings with a score for each finding and a recommendation to mark as reoccurring. The manager can then easily start an investigation and escalate to a CAPA if needed.