Power Your Enterprise with CQ.AI for Clinical, Quality, Health and Safety

CQ.AITM Supports the Following Capabilities

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  Natural Language Processing (NLP)

  Leverage NLP to detect, analyze and convert unstructured data into classifications for quality events to help drive consistency by removing bias.

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  Machine Learning (ML), Trending Insights and Signal Detection

  Use Machine learning, trending, and insights to monitor, detect and predict potential high-risk issues to automate the required actions to be taken to mitigate promptly through proven and consistent workflow steps.

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  Predictions and Decision Making

  With growing product and process complexity, quality and safety teams are pressed to stay on top of critical quality and safety issues and prioritize those which are most urgent. CQ.AI provides powerful, AI-assisted recommendations to automatically classify, categorize and streamline issues this helps with the triaging of the quality and safety event handling.

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  Next Best Action / Recommendation (NBA)

  Fully leverage the Next Best Action capability for recommendations to the users on what is the most logical next step in the workflow. NBA helps users take actions in a consistent manner by knowing what to do next.

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  Similarity Identification

  Avoid unnecessary investigations by improving “first-time issue” classification, reportability and risk. Identify similar issues and re-use previous investigations to eliminate the same or similar issues repeatedly and share the lessons across the enterprise.

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  Intelligent Chat Bots powered by Conversational CQ.AI

  Highly interactive chat bots help users engage with the system effortlessly as needed. Integrating CQ.AI in these chat bots helps users perform complex actions through conversational CQ.AI.

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  Vision and Image Processing

  Drive tremendous improvement to productivity with AI powered vision and image processing, automatically monitor attachments and detect product information, lot info, issue dates, potential nonconformance, auto create workflow records and auto populate record values as needed.

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  Email Discovery and Unstructured Data Processing

  With the integrated email content discovery, intercept, process, analyze and recognize issues and automatically trigger the creation of issue records and auto populate where possible with field values to drive increased productivity.

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  Classification / Categorization and Prioritization

  The ability to automatically, accurately and systematically classify events early on in processes helps quality teams to quickly triage and ensure timely, and appropriate action is taken to minimize recurring product issues and negative customer impact. The path to properly classify, evaluate, and identify root cause and determine the necessary actions to prevent further occurrences involves sifting through tremendous amounts of data and is often not straightforward.