Trullion
AI platform for audit evidence collection and lease accounting
About Trullion
Trullion is an AI-native audit and accounting automation platform focused on complex compliance scenarios like ASC 842 (lease accounting), ASC 606 (revenue recognition), and audit evidence management. The platform uses machine learning to extract data from contracts and financial documents, automatically mapping lease terms, revenue recognition schedules, and audit evidence to the appropriate accounting standards. For audit teams, Trullion automates evidence collection, links source documents to journal entries, and maintains a complete audit trail. The platform is designed for enterprise finance teams and Big Four / Top 100 accounting firms dealing with high volumes of complex transactions. Trullion's 2026 guide on internal audit process automation reflects the platform's growing focus on agentic AI for audit workflows.
Best for
Enterprise finance teams and audit firms dealing with ASC 842, ASC 606, or complex audit evidence management
Pros & Cons
Pros
- Purpose-built for complex accounting standards (ASC 842, ASC 606) that general tools handle poorly.
- AI extracts lease and revenue terms directly from contracts, reducing manual data entry.
- Complete audit trail with automatic source document linking to journal entries.
- 4.7 G2 rating — highest in the audit and compliance tool category.
Cons
- Custom pricing is opaque — enterprise-only positioning means no self-serve signup.
- Narrow focus — not useful for general bookkeeping, AP, or day-to-day accounting.
- Requires significant implementation effort for complex accounting environments.
- Small review base (42 reviews) means less community validation compared to established platforms.
Ledger Brief Take
This tackles the genuinely difficult AI problem in accounting: interpreting complex contract language for ASC 842 and ASC 606 compliance, where most tools either punt to manual processes or produce unreliable outputs. Built specifically for enterprise audit teams and Big Four environments, it's overkill for typical practice work but fills a real gap where contract complexity makes general-purpose tools inadequate.