We have taken a significant step forward in audit innovation by integrating Trullion’s AI-powered platform into its audit processes. The move reflects the firm’s ongoing commitment to leveraging cutting-edge technology to deliver greater accuracy, efficiency, and insight for clients.
The decision to adopt Trullion followed a comprehensive evaluation of the firm’s IT infrastructure and audit workflows, culminating in a strategic partnership formalised in April 2025. The Trullion Audit Suite was selected for its ability to automate data extraction, streamline account validation, and enhance financial statement analysis—capabilities that far exceeded those of previous tools.
The implementation has been both collaborative and forward-thinking. Early demonstrations and walkthroughs with Trullion’s team showcased the platform’s potential to transform audit delivery. Features such as multi-version comparison, mathematical accuracy checks, and consistency validation have already begun to yield tangible benefits.
Training and onboarding have been a key focus, with superuser teams at Goodman Jones actively participating in test scenarios and data uploads to ensure a smooth rollout. In-person training sessions took place in mid-May, reinforcing the firm’s commitment to embedding the technology across its audit function.
The adoption of Trullion is part of a broader digital transformation strategy at Goodman Jones, which includes a recent AI readiness and technology gap analysis.
The audit identified key areas for improvement and laid the groundwork for a more secure, scalable, and compliant IT environment.
As Goodman Jones continues to evolve its audit capabilities, the integration of Trullion stands as a testament to the firm’s proactive approach to innovation and its dedication to delivering exceptional service to our clients.
The information in this article was correct at the date it was first published.
However it is of a generic nature and cannot constitute advice. Specific advice should be sought before any action taken.
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