An exceptional AI driven SMSF audit platform, built by one of Australia's leading SMSF auditors.
Be passionate about audit excellence!
Codex Audit combines the technical power of the latest AI with the compliance expertise of Super Sphere Pty Ltd, Australia’s most trusted SMSF audit template provider.
AI-Powered Automation
Our system uses Vertex AI to extract financial data from PDFs, automatically populating your lead schedules and verifying mathematical accuracy.
From drag-and-drop document sorting and referencing to encrypted accountant queries – you can manage the entire audit lifecycle in one, secure cloud platform.
Built on Expertise
Developed in collaboration with Super Sphere Pty Ltd and AI specialists, ensuring your audit file templates are compliant with Australian auditing standards and ATO expectations.
Codex Audit is written by auditors for auditors.
There are no unnecessary bells and whistles. Codex Audit delivers quality file structure and templates, coupled with AI technology to make SMSF auditing streamlined and complying.
Workflow Management
A logical dashboard, instant audit status reports and automated time-sheeting – all allow easy work flow management, quick productivity reviews and instant client WIP reports.
Drag. Drop. Done.
Upload your client reports, whether they are prepared on BGL or Class, and watch Codex Audit automatically extract the data, perform financial matching, and populate your lead schedules instantly.
Relevant source documents are filed and referenced, ready for your audit procedures and notes.
Engineered to perfectly fit your profession
Codex Audit reimagines the workpaper and end-of-year preparation process through automation, integration, and AI.
Go paperless, automated and compliant with Codex Audit and improve your profitability and productivity.
Codex has completely transformed our workflow. The AI data extraction saves us hours on every single SMSF audit.
The most secure and efficient platform we’ve used. Automated lead schedules and matching have eliminated our manual errors.