auditmap.ai
AI Projects
Information
What is AuditMap?
AuditMap is an AI-powered platform that transforms how internal audit, risk, and compliance teams extract insights from documentation.
Built with advanced Natural Language Processing (NLP), AuditMap enables users to automatically analyze large volumes of audit reports, internal control documents, and risk registers—identifying critical insights that support faster, more intelligent decision-making.
Developed in Canada by the team at Lemay.ai, AuditMap uses machine learning to classify and extract key sentences related to risks, controls, recommendations, and objectives. The platform empowers organizations to move beyond manual review by enabling automated tagging, trend analysis, and intelligent document search—all while keeping sensitive data secure.
Key Capabilities:
Automated Document Analysis: Upload audit reports and policies; AuditMap scans, parses, and classifies sentence-level content.
Risk Intelligence: Identify recurring risks, emerging themes, and gaps in audit coverage.
Intelligent Search: Quickly filter and retrieve relevant documents, statements, risk/control types by topic, year, or entity.
Framework Mapping: Link findings to frameworks like COSO or SDGs, and maintain visibility into objective coverage.
Secure Deployment: Available in cloud, on-premise, or hybrid environments with complete role-based access control.
Use Cases:
Internal audit teams are reducing manual review time.
Compliance officers ensure proper control documentation.
Risk managers identify gaps or duplicated audit coverage.
Public sector agencies are managing large volumes of reports.
Built for Scale & Security:
AuditMap supports enterprise and public sector deployments, including secure environments. The platform integrates with existing document management systems and supports structured and unstructured data inputs.
