The system will enable users to describe projects for risk assessment to identify SaaS usage and detect sensitive data. It will prompt for additional details, log interactions, assign Risk Register IDs, and provide best practices for low-risk SaaS, escalating higher-risk cases to security personnel.
The AI-powered system will assess system architecture diagrams for regulatory compliance, guiding users to refine their diagrams based on AI feedback. It will also collect compliance info via a questionnaire, generate a data flow diagram, analyze risks and control gaps. The system will then compute risk ratings and create a comprehensive risk register.
The Procurement AI Assistant will provide concise and accurate summaries of responses to user queries, allowing users to quickly understand the information without extensive reading. Each response will include citations to the specific document or policy where the information was sourced, ensuring traceability and credibility. Additionally, if feasible, the AI Assistant will attach screenshots of the relevant document sections, enabling users to view the source in context.
To implement an AI-powered knowledge management platform that will support employee training and enhance their capabilities in sales and customer support. This centralized AI-powered knowledge management platform will provide comprehensive resources on product features, marketing strategies, and competitive analysis. It will also empower employees to enhance their knowledge and skills, enabling them to deliver accurate and timely information to customers.
To implement an AI knowledge assistant that correctly identifies key financial data and anomalies for critical audit review and report automation. The aim is to reduce backlog of senior reviews and analyses gaps / omissions.
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