Trullion
Auditable AI for lease accounting, financial statement validation, and audit workflows.
Overview
Trullion calls its approach "auditable AI": every output the system produces is tied to a source document or standard. Auditors can trace the chain of evidence rather than accepting a result at face value. That principle runs through every part of the platform.
The platform has three functional layers. Agents answer natural-language queries against accounting standards and internal guidelines. Workflows handle the document-heavy jobs: lease abstraction, financial statement validation against disclosed figures, document matching between supporting files and working papers, and structured data extraction from contracts and PDFs. The Knowledge room stores the firm's internal policies alongside external standards so the AI draws on both.
Core modules cover lease accounting under IFRS 16 and ASC 842, revenue recognition support, and financial statement validation that checks consistency across the full disclosure set. The AI assistant, Trulli, works across modules to surface patterns and flag items for review.
Big Four firms and mid-market audit teams use Trullion. It also serves corporate accounting departments managing complex technical areas such as leases. Pricing is custom and not published; contact the vendor for a quote. No free trial is listed on the vendor site.
Deployment is cloud-based. Specific accounting software connections are not detailed on the vendor site, though the platform is built to ingest document sets from any source.
Trullion is most relevant for mid-sized and larger firms where lease accounting, financial statement disclosure work, or document-heavy audit procedures come up regularly.
Key facts
- Starting price
- Custom pricing
- Pricing model
- custom
- Free trial
- No
- Free tier
- No
- Deployment
- cloud
- Geography
- global
- Works with
- excel
- Last verified
- 2026-04-20
Pricing
No public pricing. Trullion quotes directly.
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Last verified 2026-04-20. Pricing and features come from vendor-published specs. See our methodology.