Finspectors is an audit automation and risk analysis software platform designed for audit firms that need to analyze general ledger data, validate supporting documents, standardize testing procedures, and manage audit workflows from a single environment. The software processes exported accounting data such as day books, ledgers, vouchers, trial balances, journal entries, and system-generated reports from commonly used accounting systems. It supports statutory audits, internal audits, financial statement reviews, and engagement planning for firms seeking to replace manual spreadsheet-based review processes with structured, data-assisted analysis. Finspectors provides a consistent and explainable approach to identifying higher-risk transactions by combining machine-learning scoring, rule-based control points, statistical methods, and narration/text analysis. Audit teams can upload general ledger files, run automated risk scoring across the entire population, and view flagged entries with clear indicators explaining why an item may require additional attention. The platform surfaces patterns related to unusual journal entries, period-end activity, duplicate transactions, vendor or customer concentration, outlier amounts, and narration-based cues, enabling auditors to direct their procedures to the areas that matter most. In addition to transaction-level analytics, Finspectors includes AI-based document processing and evidence matching. Auditors can request and collect files from clients, extract relevant information using document AI, match it to the underlying transactions, and review mismatches or missing evidence. A built-in workflow system supports task assignments, approvals, review comments, and status tracking, helping firms organize audit procedures and maintain consistency across teams. The platform also provides tools for sampling, financial statement validation, and audit documentation. Sampling workflows support both statistical and non-statistical methods, helping firms select appropriate transactions from large datasets. Financial statement validation features allow auditors to compare GL-level data, supporting documents, and reported amounts to identify inconsistencies. Dashboards and summaries consolidate risk insights, exceptions, and documentation into auditor-ready outputs. Key product features include: Automated risk scoring using machine learning, anomaly detection, and rule-based control logic. Risk Rule based testing covering materiality, duplicates, period-end behavior, narration analysis, and behavioral patterns. AI document extraction and matching for invoices, statements, and supporting files. Client request and workflow management, including approvals, comments, and file tracking. Sampling tools for selecting and reviewing transactions across large datasets. Financial statement validation to identify differences between GL records and reported amounts. Finspectors is built for small, mid-market, and regional audit firms that need a reliable, consistent, and structured approach to risk-based auditing. By automating data review, centralizing documentation, and improving transparency across the audit cycle, the platform supports faster procedures, higher engagement quality, and more defensible audit files.