AI-native automation for
internal audit teams.
Arden automates controls testing for internal audit at public companies. We connect to your source systems, test your controls, and draft workpapers your external auditor will accept. Your team reviews and signs off.
01 / The problem
Audit costs more every year. The work is the same.
A mid-size public company now spends roughly $5M and 28,000 hours a year on internal audit. Compliance costs are up 44% in two years. The number of systems in scope has more than doubled.
Most of those hours are internal audit teams pulling evidence by hand, reconciling populations in spreadsheets, and writing up manual documents.
02 / What Arden does
The full testing workflow, end-to-end.
Upload your data, or connect your source systems directly. No integration or data engineering needed.
Arden's browser agents combine frontier vision-language models to reason through any app, collecting evidence with full trace logs for auditors to review.
Arden runs your IT and business process controls and drafts the workpaper with every conclusion linked to its source. Your team reviews, edits, and signs off.
Avg internal audit budget
Avg internal audit team
Last two years
03 / Team
AI researchers from Berkeley and MIT.
Aryaman Khanna and David Lomelin previously conducted research in LLM traceability at the MIT CS/AI Laboratory. Backed by Y Combinator (P26). Advised by practitioners from GitLab, Big 4 alumni, and 20+ year audit veterans.
