Interfacing’s Integrated Management System (IMS) is an AI-powered platform that unifies BPM, QMS, Document Control, and GRC into one platform. Organizations use IMS to model and automate processes, control documents, manage risks, and maintain regulatory compliance with full traceability and audit readiness.
Built for highly regulated sectors such as aerospace, life sciences, finance, and government, IMS provides real-time visibility, automated workflows, and AI-driven insights that improve quality and reduce operational risk. The platform is ISO 27001 certified and fully validated for 21 CFR Part 11, making it suitable for mission-critical environments requiring strong governance, security, and control. IMS also includes low-code automation, process mining, audit management, training tracking, CAPA workflows, and dashboards to help teams streamline operations and continuously improve. AI strengthens governance, improves accuracy, and reinforces regulatory control.
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Predict360 is an integrated risk and compliance management software platform for financial and insurance organizations. It integrates risk and compliance processes and industry best practices content into a single platform that streamlines regulatory compliance, improves efficiency, predicts risk, and provides best-in-class business intelligence reporting.
Predict360 includes the following Risk Management applications: Enterprise Risk Management (ERM), Risk Management and Assessments, Risk Insights, Issues Management, Peer Insights, Third-Party Risk Management, and Quarterly Certifications and Attestations. Compliance applications are: Compliance Management, Compliance Monitoring & Testing, Complaints Management, Regulatory Change Management, Regulatory Examination and Findings Management, Policy & Procedure Management, and more.
360factors also offers Lumify360 - a KPI and KRI predictive analytics platform that enriches data, predicts performance, and works alongside any GRC.
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EY Trusted AI Platform
The EY Trusted AI Platform provides insights to organizations on the sources and drivers of risk and guides an AI design team in quantifying AI risks. The EY Trusted AI Platform uses interactive, web-based schematic and assessment tools to build the risk profile of an AI system. It then uses an advanced analytical model to convert the user responses to a composite score comprising technical risk, stakeholder impact, and control effectiveness of an AI system. To help determine technical risk, the platform evaluates the technical design of an AI system, measuring risk drivers that include its underlying technologies, technical operating environment, and level of autonomy. To help determine stakeholder risk, the platform considers the goals and objectives of the AI system. It also considers the financial, emotional, and physical impact on the external and internal users, as well as the reputational, regulatory, and legal risks.
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