Audit Map is an AI-driven audit software that analyzes uploaded documents to identify risks and risk trends across an organization. It supports internal audits by reviewing reports, enabling risk management through public filings, and ensuring internal controls against established procedures. The platform employs proprietary AI engines using Natural Language Processing for effective risk identification and categorization. It offers cloud, on-premise, and hybrid deployment solutions, ensuring document security. Key features include powerful search capabilities, consolidation of past reports, and the ability to assess risks against industry best practices. Audit Map helps organizations navigate emerging risks, organize audit objectives, and streamline the auditing process, ultimately aiding in compliance and risk management efforts.
• role-based access control
• cloud and on-premise deployment
• powerful search capabilities
• ai-driven risk identification
• custom audit universe mapping
• dynamic risk register generation
• risk trend analysis
• data encryption and access tracking
• internal audit support
• nlp-based analysis of documents
AuditMap can navigate documentation against topics and entities mapped to your audit universe. It's best to encode the audit universe after some usage for identifying coverage gaps.
AuditMap complements existing tools by retrieving risks from internal reports and public sources, allowing clients to use both simultaneously.
Risk is not binary. AuditMap categorizes various levels of risks, including process failures, management-level risks, and opportunities for improvement.
Clients experience initial excitement and learning phases but quickly adapt to using the platform for real-time decision-making.
AuditMap can encode key pillars of standards and frameworks, retrieving risks against objectives but requires ongoing vigilance for compliance.
AuditMap offers cloud and on-premise solutions with strict data handling policies, ensuring your data is not used for model training without consent.
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