AuditMap offers an AI platform that analyzes internal and external documents to identify risks and trends, enhancing the effectiveness of audits and risk management processes. By utilizing Natural Language Processing, the platform enables organizations to pinpoint unmitigated risks and assess control effectiveness, streamlining compliance and improving audit outcomes.
Funding
$337.6K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations face challenges in efficiently reviewing large volumes of internal and external documents to identify potential risks and ensure comprehensive audit coverage. Manual document review is time-consuming, prone to human error, and struggles to keep pace with emerging risks and evolving regulatory landscapes. This can lead to unmitigated risks, ineffective controls, and ultimately, increased exposure to financial and operational vulnerabilities.
Solution
AuditMap provides an AI-powered risk insights platform that automates the analysis of internal and external documents to identify risks, controls, and objectives. The platform leverages Natural Language Processing (NLP) to extract key information from audit reports, standard operating procedures, public filings, and other relevant sources. By automatically identifying and categorizing risks, controls, and recommendations, AuditMap enables organizations to streamline audit planning, conduct risk-based audits, and improve overall risk management. The platform facilitates the identification of emerging risks, coverage gaps, and ineffective controls, empowering auditors to focus on high-risk areas and drive better audit outcomes.
Target Audience
AuditMap is designed for internal audit teams, risk management professionals, and compliance officers in banking, government, and other regulated industries who need to efficiently analyze large volumes of documents to identify and mitigate risks.
Features
- AI-powered document analysis using proprietary NLP engines to identify risks, controls, and objectives within unstructured data.
- Automated risk categorization and tagging based on industry-standard risk management frameworks and custom audit universes.
- Risk trend analysis to identify emerging risks, coverage gaps, and potential weaknesses in internal controls.
- Cloud, on-premise, and hybrid deployment options with role-based access control, encryption-at-rest, and access tracking for enhanced security.
- Powerful search functionality enabling users to quickly locate specific risks, controls, or objectives across all analyzed documents.
- Interactive risk register creation and navigation for dynamic risk management.
- Integration with existing audit workflows to streamline audit planning, execution, and reporting.
- Support for multiple languages to analyze documents from diverse sources.