Finspectors

Finspectors is an audit automation and risk analysis software platform designed for teams that review general ledger data, validate supporting documents, and execute audit procedures. The system analyses exported ledgers, vouchers, day books, trial balances, and journal entries to surface transactions that may require closer examination. It applies machine learning, anomaly detection, and structured risk rules to highlight unusual patterns such as period-end adjustments, duplicate activity, irregular amounts, and narration-based indicators.

The platform also includes document extraction and matching capabilities that help auditors verify invoices, statements, and supporting files. Exceptions and mismatches are presented in a structured view to support reviewer judgment. Audit workflows in the software allow teams to manage client requests, approvals, assignments, and documentation in a single environment, reducing fragmented communication across multiple tools.

Key features include:
• Automated risk scoring and exception identification across complete GL populations
• Risk-rule checks covering materiality patterns, duplicate behaviour, posting irregularities, and narration cues
• Document AI for extracting key fields and matching evidence to transactions
• Workflow tools for client requests, comments, and documentation status tracking
• Sampling workflows for selecting and testing representative transactions
• Financial statement validation tools to identify inconsistencies between GL data, support, and reported amounts

Finspectors supports audit teams seeking reliable and consistent analytical coverage without relying on manual spreadsheets. By automating routine review steps, the platform helps firms improve audit defensibility, maintain consistency across engagements, and focus effort on higher-risk areas that require professional judgment.