Trullion
Manual data entry, spreadsheets, and disconnected documents slow accounting and audit teams down and increase the risk of errors in high-stakes workflows. Trullion is an AI-powered accounting platform that brings extraction, validation, testing, and compliance into one system. Built specifically for accounting and audit teams, Trullion automates document-heavy workflows across audit, financial reporting, and lease accounting—helping teams improve accuracy, reduce manual effort, and stay audit-ready. With Trullion, teams can connect structured and unstructured data in one platform. AI automatically extracts key data from contracts, financial statements, invoices, and supporting documents, then matches and validates that data against source documents, prior periods, and system records. This reduces manual review while increasing transparency and confidence in the results. Trullion supports critical accounting workflows, including audit fieldwork, financial statement validation, revenue and lease compliance, and ongoing reporting. Teams can upload large volumes of documents in one click, apply changes at scale, and produce consistent, audit-ready outputs with full traceability back to the source. The platform is designed to keep teams aligned with evolving accounting standards, including ASC 842, IFRS 16, FRS 102, ASC 606, and IFRS 15, so they can go into audits with clarity and confidence. With Trullion, you can: - Extract structured, Excel-ready data from PDFs and complex documents - Match and validate data automatically for vouching, tracing, and testing - Identify inconsistencies across financial statements, versions, and prior periods - Automate lease accounting calculations, journals, and disclosures - Collaborate in one secure platform with full audit trails and permissions By breaking down silos between documents, data, and teams, Trullion gives accounting and audit professionals a complete, end-to-end view of their work—so they can spend less time on manual processes and more time applying judgment.
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