Complete digital transformation for your
enterprise requires a shift to predictive process management for Clinical, Quality or Safety.
Predictive process management means that businesses learn from the data collected and apply these learnings in a consistent and
The shift to predictive process management requires significant augmentation of decision making across the enterprise with advanced tools of artificial intelligence (AI) combined with predictive analytics.
CQ.AITM Supports the Following Capabilities
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.
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.
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.
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.
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.
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.
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.
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.
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.
Next Generation AI Powered
Enterprise Quality and Safety
Management System – A Frost
& Sullivan Whitepaper
Value and Benefits
Reduce compliance risks by minimizing bias, un-forced errors, and potential associated regulatory actions
Protect brand value and Increase customer satisfaction due to quicker, timely, consistent, and accurate investigations and responses
Significantly increase productivity using data driven decision making and taking actions that require human involvement and allowing for automatic escalations, close and effectiveness checks
identification of similar issues and sharing of knowledge / lessons learnt to address issues through proven investigations, root causes and action plans
Trusted by World's Top Quality-centric Companies
to Solve your Complex Processes