EOFY: How to reduce rework and improve accuracy with AI

Summary

EOFY is often defined by last-minute reconciliations, missing documents, and avoidable errors. With increased ATO scrutiny, especially around GST, bookkeepers are under pressure to deliver accurate, audit-ready data on tight deadlines. Many of these challenges stem from issues that build up throughout the year, not just at year-end. By improving data quality earlier, streamlining client collaboration, and using AI to reduce manual work, EOFY can become far more manageable.

Why EOFY becomes a bottleneck

For many bookkeepers, EOFY pressure is less about volume and more about timing and data quality. When client documents arrive late or in poor condition, workflows slow down. Reconciliations that should be routine turn into time-consuming investigations, particularly when accounts haven’t been consistently maintained.

GST adds further complexity. Errors such as overclaiming on entertainment or private expenses, failing to clear GST control accounts, or misclassifying GST-free items are common and often only identified during final checks. Fixing these issues retrospectively increases both workload and compliance risk.

The common causes of rework

Most EOFY rework comes down to a few recurring issues. Delayed or incomplete documentation forces bookkeepers into reactive chasing and follow-ups. Inconsistent supplier data leads to duplicate entries and incorrect GST treatment. Unreconciled transactions and uncleared accounts signal gaps that require investigation.

Poor source documents also play a role. Blurry images, missing pages, or unclear totals slow down processing and create back-and-forth with clients. Individually, these issues seem minor, but together they create significant friction at EOFY.

How to spot issues earlier

The key to a smoother EOFY is identifying problems before June. Unreconciled bank feeds, suspense accounts that don’t clear, or transactions without supporting documents are early warning signs that a file isn’t in good shape.

Inconsistent supplier naming is another indicator. When the same supplier appears in multiple ways, it affects coding accuracy and reporting reliability. Addressing this early improves consistency across the entire dataset.

Missing ABNs or incorrect GST treatment should also be flagged immediately. These issues carry compliance risk and are far easier to resolve during the year than at EOFY.

Where AI can make a difference

At EOFY, the biggest challenge is rarely just volume. It is the amount of rework created when routine bookkeeping decisions have been applied inconsistently across the year. That is what turns straightforward reconciliations into time-consuming review work.

For bookkeepers and accountants, this often shows up in familiar ways: similar transactions coded differently, supplier records handled inconsistently, GST treatment applied unevenly, or supporting details missing from documents. These are not always major problems in isolation, but at EOFY they accumulate into delays, corrections and compliance risk.

This is where Dext's bookkeeping AI agent AI Assist can make a practical difference. Rather than relying only on fixed rules, it learns from how your team works in Dext and suggests ways to apply those decisions more consistently across future documents. That can help reduce repetitive manual edits, improve consistency in categorisation and field updates, and flag items that need a closer look before they become bigger issues at year-end.

The benefit at EOFY is not just speed. It is a better-quality review. Instead of spending valuable time redoing routine decisions across a backlog, bookkeepers and accountants can focus on exceptions, validation, and client advice with greater confidence.

Importantly, Dext AI Assist is designed to support professional judgement, not replace it. Suggestions remain visible, explainable and controllable, so the accountant or bookkeeper stays firmly in charge of the final outcome.

Improving client collaboration

EOFY challenges are often rooted in unclear expectations. When clients don’t know what’s required or when to provide it, delays are inevitable. Starting the process earlier with clear communication and structured requests can significantly reduce last-minute pressure.

Centralising document collection also helps. Using a single system ensures visibility over what’s been submitted and what’s outstanding. Making it easy for clients to comply, through simple submission methods and clear guidance, improves both the speed and quality of data collection.

Turning EOFY into a better process

EOFY shouldn’t just be about closing the books. It’s an opportunity to improve how your practice operates. The issues that surface during this period often highlight inefficiencies in workflows, client behaviour, and pricing structures.

By addressing these patterns, standardising processes, and using AI to reduce repetitive work, bookkeepers can create a more scalable and predictable approach. The result is fewer surprises at year-end, better compliance outcomes, and more time for higher-value work.

Find out more about how Dext can improve your EOFY process in our upcoming webinars:

• From Data Entry to Data-Driven: Master Your Practice with Dext Advanced Data Health and Insights on 22 April at 2pm AEST
• EOFY made easy with AI on 30 April at 1pm AST

And more to come soon!