The Audit Suite’s Data Match module can automate vouching and tracing. Credit: 3rdtimeluckystudio/Shutterstock.

Trullion has unveiled Audit Suite, an AI-powered cloud-based platform aimed at enhancing the accuracy and efficiency of audit processes.

The solution is designed to address the rising complexity of financial reporting and the high incidence of errors among accountants, the company said.  

The Audit Suite aims to transform audit team operations by providing a collaborative, AI-driven ecosystem that helps reduce errors and improve audit quality.

It will meet the needs of modern financial environments, offering a strong solution for audit teams seeking to navigate the complexities of accounting landscape, the company claims.

Early feedback from users like GRF CPAs & Advisors’ partner Tricia Katebini, CPA, indicates a substantial reduction in time spent on audits.

Trullion’s Audit Suite allows audit professionals to centralise their work and apply AI to reduce manual data handling.

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The platform’s modules, such as Data Match, Financial Statement Validation, Data Extract, and the GenAI-powered chatbot Trulli, are tailored to automate and simplify various aspects of the audit process.

These features enable auditors to concentrate on strategic tasks and collaborate more effectively, thereby enhancing the quality and efficiency of their work.

The Audit Suite’s Data Match module can automate vouching and tracing, which is crucial for tasks like transaction vouching and inventory reconciliation.

The Financial Statement Validation module ensures the accuracy of financial documents, and the Data Extract feature allows for quick conversion of data into Excel-ready files.

Trullion CEO Isaac Heller said: “At Trullion, we recognise that the new audit ecosystem demands more than just basic tools—it requires intelligent tools that can adapt to the ever-changing landscape of financial reporting.

“Our Audit Suite is designed to meet these demands and put audit teams in the driver’s seat so they can see results fast.”