Automation
Full automation of SOX controls,
both sample and sub-sample.
The Future Of Audit
Automate 100% of your SOX 404 program with
deterministic, audit-ready outputs.
Automate 100% of your SOX 404 program with
deterministic, audit-ready outputs.
About SOX-AI
Automated End-to-End testing execution across all SOX processes - leveraging only your existing testing plans.
Every output is consistent, repeatable, and audit-ready. Unlike probabilistic models, our engine applies predefined logic aligned with regulatory standard, delivering the same result every time.
Complete, immutable log of every test, action, and decision — audit procedures demand 100% documentation (Explainable AI, xAI).
Core Capabilities
At SOX-AI, we're disrupting traditional compliance mechanisms that rely
heavily on manual work and consultant-intensive processes.
Full automation of SOX controls,
both sample and sub-sample.
Handling both structured (tables) and
un-structured (documents) data.
Create documentation matching
the external auditor requirements.
Seamless integrations
with your own IT systems.
Why Now
Organizations subject to the Sarbanes-Oxley Act (SOX) face significant challenges when
trying to comply with the act, in financial reporting and control requirements.
SOX employees are spending over 11,000 hours per year on manual work.
The total fees of SOX are in the region of roughly $1,600,000 per year.
Reduce manual work, cut reliance on external consultants, and lower SOX compliance costs through automation.
Security
Our team of seasoned cybersecurity professionals understands that SOX testing involves your organization's most sensitive data. To fully leverage the power of AI, your data must first be completely secure:
About Us
SOX-AI is made by experts for experts.
AI and Cybersecurity Expert. Ph.D. student in Computer Science, specializing in Gen AI. 20 years experience in leading research and development. In the past, research team leader in Argus Cyber Security Ltd. acquired by Continental AG for 450 million USD.
Former Deloitte Director with 20+ years in risk management, leading SOX Act consulting and audit implementations.
Ph.D. in Computer Science, specializing in deep neural networks and AI systems. 10+ years of experience in software architecture, full-stack development, and applied machine learning.
A Ph.D. student in Theoretical Economics, focusing on business models and regulation in platform markets. Former Senior Consultant at Deloitte specializing in SOX IT general controls audit (ITGC).
Get in Touch
Schedule your demo now
