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The only AI-powered Middle Office Platform that unifies PLM, QMS, EHS, and SRM into a single, intelligent solution
Product Lifecycle Management
Enable cross-functional collaboration and accelerate your product lifecycle with a cloud-based platform for innovation
Design Process and Quality System Development Tools in Product Lifecycle
Design Quality
Get full visibility over your product design processes and make collaboration easy to get your products to market faster, compliantly
Design Quality: Connecting Design to Documentation
Complaints Management
Transform customer complaints to valuable sources of insights for continuous improvement through smart automations and integrated regulatory reporting
Challenges with Triage and Investigation in Complaints Management Process
Document and Learning Management
Say goodbye to paper! Modernize your processes with connected document, training, and change management
Manufacturing Challenges and Industry Trends Towards Digital Transformation
Quality Management
Transform quality into an enabler: boost efficiency, increase satisfaction, and trim costs with a fully connected, AI-powered quality management solution
Frost Radar for Quality Management Systems Names ComplianceQuest Leader
Risk Management
Enable risk-based thinking throughout your quality processes with a fully integrated risk management solution
Automation of the Risk Management Lifecycle with AI and Analytics
Supplier Management
Increase supplier performance, reduce costs, and streamline your supply chain with integrated supplier quality and collaboration tools
The Ultimate Guide to Next-Generation Supplier Management [e-Book]
Safety Management
Identify and minimize safety events. Prevent accidents, safeguard workers, and ensure their well-being and health
Safety Essentials: Key ‘Must-have’ Components for Safety Management at Any Enterprise
Environment and Sustainability
Proactively and accurately monitor and measure your company’s impact on the environment to improve performance and reach your environmental and sustainability targets
Environmental & Sustainability Management
Electronic and Automated Approach to Audit Management
Managing the Tools of the Trade
Manage Operational Risk Tracking, Evaluation, Mitigation and monitoring
Leveraging CAPA for Continuous Improvement
Ensure your laboratory is compliant with systematic and efficient laboratory investigations
Incident Reporting and Management
Organization, Collaboration and Governance for Efficient Changes
Conduct smart management review meetings with a tower of data to improve your quality and safety systems
Gain 360 degree vision into enterprise wide Safety risks
Enhance Safety and Compliance with Smarter Chemical Management
Ensuring Quality across Departments & Locations
Partner With Suppliers And Vendors To Improve Quality And Safety
Create Loyalty by Addressing Customer Complaints Smartly
Bring Consistency to Permit Practices
Make it easy for your people to manage, track and analyze environmental and sustainability metrics
Bring higher quality products to market quicker with design controls, projects & DHF
Streamline Permit Management and Ensure Compliance
When Learning Propels Organizational Growth
Improve efficiency, productivity, and compliance with a solution designed for today's diverse workforce learning styles
Strategically manage the complete lifecycle of your product
Efficient Waste Management for Compliance & Sustainability
Relevant Information within reach - Always.
Assuring Quality Products and Services
Self-guided Product Tours
Product Demo Videos
Pricing
ComplianceQuest covers the whole spectrum of customers, industries and regions across the world. Whether it is a small, medium or enterprise sized manufacturer, companies choose ComplianceQuest for its end-to-end Product Lifecycle, Quality, Safety and Supplier Management Solutions.
Salesforce
Leveraging AI to Create a Safer Workplace Environment
Why an EHS Solution Built on Salesforce Works Better Than One Built on AWS or Azure
CQ Platform
Humans: The Real Superheroes of Artificial Intelligence (AI) in Quality Management
Recent Blogs
Recent Infographics
Recent Case Studies
Featured Case Study
ComplianceQuest Medical Devices QMS Success Stories eBook
Recent Checklists
Featured Checklist
Complaint Handling Process for MedTech and Life Science Companies
Course Offerings
Recent CQ Guides
Featured CQ Guide
Datasheets
Brochures
Demo Center
Podcasts
Podcast
Aphria (now Tilray) CIO talks about their implementation of ComplianceQuest, Rootstock and Salesforce
Videos
Recent Webinars
Webinar
Unlocking the Value of Complaints
Recent Whitepapers
Whitepaper
Why You Need to Digitally Transform Your QMS
Recent Compliance
Compliance
The Ultimate Guide to ISO/IEC 17025:2017 Compliance
Infographic
Safety Technology Trends to Watch in 2023 (Infographic)
Recent Toolkits
Featured Toolkit
Data-driven Safety – Strategic Resources for Monitoring of Key Performance Indicators
Events and Webinars
Events
Upcoming Webinars
Featured Event
American Society on Quality World Conference on Quality and Improvement
04 May, 2025
Denver, CO
About
About ComplianceQuest
Transform to a fully connected business with a next-generation AI-powered Product Lifecycle, Quality, Safety, and Supplier management platform, built on Salesforce.
Our connected suite of solutions helps businesses of all sizes increase product, quality, safety, and supplier as they bring their products from concept to customer success.
Meet the Leadership Team
Careers
Where Your Career Takes Flight: Join our dynamic team and be part of an innovative, collaborative and rewarding workplace culture.
Corporate Citizenship
Impact Through Action: How the ComplianceQuest team supports social causes and community engagement
Customers & Testimonials
Newsroom
The Pulse of ComplienceQuest: Our newsroom shares stories of innovation, progress, and change
Partners
Stronger Together: How our partnerships drive success and innovation
Upcoming Events
What is Artificial Intelligence? It is simply the ability of machines (in most cases, software) to perform tasks that would otherwise require human intelligence.
Modern enterprises that are future-ready are already using AI in a wide range of scenarios; AI is being used for predicting consumer behavior, demand forecasting, failure analysis, spotting future trends, etc. Companies from across sectors including manufacturing, healthcare, pharmaceutical, medical devices, hi-tech, automotive, and oil & gas are working on focused initiatives to induce cutting-edge AI capabilities in their operations.
But one of the most important applications of AI is in analytics. AI has become a core part of the analytical pipelines that next-generation, data-driven enterprises will lose out on if they don’t use AI the right way. From a quality perspective, the implementation of a next-generation EQMS with world-class data and AI capabilities has become a no-brainer.
When your EQMS can offer a high level of data visibility and seamless flow of information across customers, suppliers and internal operations, using AI can take quality management to the next level. Specifically, it can help with early detection of quality issues, predictive analytics for non-conformance or failure, proactive risk management, and automated prioritization of complaints handling, to name a few use cases.
It can also help make Quality Management a leaner process. Lean, a concept based on continuous improvement, enables businesses to increase customer value, eliminate waste and optimize operations. It enables building a culture of quality, which is stressed on by regulatory bodies such as the FDA and ISO, where employees are engaged proactively in improving their areas of work collaboratively. With the use of AI, the process of integrated, enterprise-wide Quality Management becomes way more efficient.
Looking for a next-generation EQMS that brings to the fore cutting-edge data and AI capabilities? ComplianceQuest’s AI-powered EQMS offers one of the best solutions in the market.
Artificial intelligence enables implementing the lean concepts of time and cost efficiency through the following:
The overall process of using data and AI in the quality workflow is enabled by the following:
At modern enterprises, data lies at the front and center of quality operations. The manufacturing industries today are being powered by Industrial Internet of Things (IIoT) technologies which generate ample data needed to improve visibility into operations.
It also provides real-time data to the QMS for identifying and triaging. Data from equipment and devices can be automatically “connected” to the EQMS to spot issues and challenges in real-time.
Using AI-based analytical tools, businesses can reduce the overall cost of poor quality. It can help with faster time to market of products by providing a contextualized understanding of workflows, reducing the time to review product batches while ensuring that both products and processes meet quality standards.
AI algorithms can be trained to classify data elements into different categories of issues and provide decision support for efficient problem-solving. With Natural Language Processing (NLP) capabilities, patterns and trends from data/information can be identified with ease. This can play a key role in categorizing risks based on their severity and prioritize corrective actions using data at the core.
AI is critical for predictive analytics that can help with anticipating future quality events, thereby ensuring the goals of product quality, patient safety, secure supply chain, and improved global regulatory compliance.
ComplianceQuest’s Enterprise-wide Quality Management System provides AI-based features that can help make your Quality Management efforts more time and cost-effective. Some of these include:
Natural Language Processing (NLP): The solution leverages 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 chatbots that help users engage with the system effortlessly as needed. Integrating CQ.AI in these chatbots helps users perform complex actions through conversational CQ.AI.
Machine Learning (ML), Trending Insights, and Signal Detection: Machine learning, trending, and insights enable monitoring, detecting, and predicting potential high-risk issues to automate the required actions to be taken to mitigate risks promptly through proven and consistent workflow steps.
Vision and Image Processing: Improve 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. 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 the root cause and determine the necessary actions to prevent further occurrences involves sifting through tremendous amounts of data and is often not straightforward.
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.
These AI features enhance the EQMS modules for the management of audit, CAPA, inspection, compliance, complaints-handling, nonconformance, change, suppliers, training, and documentation for an end-to-end quality assurance process using next-gen technologies.
To know how ComplianceQuest’s AI-based EQMS solution can help you implement a lean quality management program, visit: https://www.compliancequest.com/ai/
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