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EQUES Adds Automatic Generation of Deviation Reports and Annual Reviews to AI SaaS "QAI Generator" for Pharmaceutical QA — Expanding Support to Three Key Documents Following the Initial Change Control Form Generation, Enabling DX in Quality Management —

Reduce Pharmaceutical QA 'Writing' Time to Zero: QAI Generator

EQUES Inc. (Headquarters: Bunkyo-ku, Tokyo; CEO: Naoki Kishi), an AI startup originating from the University of Tokyo's Matsuo Lab, announced on March 26 the release of new automatic generation features for "Deviation Reports," "Quality Information Reports," and "Annual Reviews" within its AI SaaS "QAI Generator," a tool designed to streamline documentation tasks in pharmaceutical quality assurance (QA).

Following the initial release of the "Change Control Form" automatic generation feature, this latest update aims to further contribute to operational efficiency and quality improvement in the pharmaceutical industry's quality assurance processes.

■ Background of the Update and Challenges in QA Operations

Quality Assurance (QA) operations in the pharmaceutical industry require the creation and review of a wide variety of documents mandated by ministerial ordinances. This, alongside confirmation processes involving other departments, places a significant burden on frontline workers. Furthermore, the high level of specialization required in the QA field has made labor shortages an industry-wide issue.

While EQUES released "QAI Generator" to address these challenges, they received numerous requests from user companies seeking to "use AI to streamline the creation of other standardized documents and time-consuming reports." In response, EQUES has expanded the tool's capabilities to cover three specific documents that are frequently created in QA operations and demand specialized knowledge and accurate descriptions of factual relations.

■ Three Newly Added Document Types

The newly added automatic generation features are as follows:

Newly Added Automatic Generation Features

1. Deviation Reports (Deviation Management): Based on simple memos and circumstances regarding deviations from standard procedures occurring during manufacturing processes, the AI rapidly generates drafts by structuring the occurrence details, cause investigations, and proposed Corrective and Preventive Actions (CAPA) into logical text.
2. Quality Information Reports (Quality Information Management): For quality-related information such as complaints received from the market or medical settings, the AI accurately captures the context of specialized terminology and supports the documentation of investigation results and the evaluation of impacts on product quality.
3. Annual Reviews (Annual Product Quality Reviews): In the annual review, which comprehensively evaluates a year's worth of manufacturing and quality control records, the AI assists in creating summaries of diverse items—such as change management and deviation management—and drafting trend analyses.

■ Features of QAI Generator

The service specializes in the GMP (Good Manufacturing Practice) domain, including laws, regulations, and academic papers, enabling highly accurate document creation that correctly captures the specialized terminology and context unique to pharmaceutical settings. It also includes a feature to customize question items and formats according to a company's unique rules and templates.

Because the system operates in an environment with comprehensive security measures, even pharmaceutical companies handling highly confidential information can use it safely without worrying about the risk of data leaks. Currently, a two-week free trial is available to test the actual capabilities of the platform.

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