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Xero’s JAX said to tame gen AI hallucinations for acconting tasks

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Small business accounting platform Xero announced that it is beta testing a new generative AI assistant called Just Ask Xero, or JAX, which sports a control system that Diya Jolly, chief product and technology officer, said ensures accuracy and security. 

Speaking during Xero’s annual Xerocon event in Nashville, she noted that Xero is “no stranger to AI” as “it powers a range of our products,” but what’s different here is that JAX uses generative AI to automate tasks and provide guidance through a plain language interface. So while, before, someone might press a button that says “create an invoice,” then type in the line items and then type in the prices and then check the total, users would be able to simply tell JAX to create an invoice, and the AI will pull from the relevant data to deliver the result. 

“All of that is already in your email. You already typed it out once. Why do you need to type it again,” she said in a later interview, noting that it’s “just more natural” to interact with a plain language interface versus navigating through tabs and menus to get things done. 

Jolly said that accuracy is one of the key differentiators for its AI system. The tendency for large language models to give inaccurate information, particularly where numbers are concerned, is well known at this point. This has led to a certain degree of hesitation from professionals to deploy generative AI for serious accounting work (see previous story). Jolly nodded to these concerns, noting that “most of our competitors” are pursuing models that are very generic and prone to hallucinations.

“While there is power in generative AI, it has to be bound for accounting. … We cannot launch something in accounting where we do not have a high level of belief in its accuracy. This is our product. What are we doing if we’re not accurate?” she said. 

To this end, JAX was trained on a very specific set of data. More generic models such as those developed by Microsoft or Google are trained on massive data sets because it is intended for users to apply them to a wide set of functions. Jolly said that JAX was trained on more specialized data, such as being able to recognize an invoice or a quote, or understand terms like cash outstanding or accounts receivable. This helps the AI stay on task and avoid some of the confusion that can come from other models. 

Beyond this, however, the accuracy of the outputs are further bolstered by the fact that JAX was described as a hybrid AI that combines a large language model with machine learning and deep learning models. JAX itself does not actually do the work but, rather, acts as a go-between with the human user and the other AI models. 

So, if a user asked JAX for a cash flow projection over the next quarter, JAX would understand the request; then, it would convert this request to actual machine code which then gets passed onto the deep learning and machine learning AIs on Xero’s servers; these models would then perform the necessary calculations using the data they are allowed to access; the results, in machine code, would then be passed back to JAX, which would then translate the information back into plain language for the user to see. This is all part of what Xero called “JAX Assure” which Jolly described as a sort of control center that keeps the results accurate. 

“Because this is accounting, we want to be a lot more precise. So we can’t leave it up to the generative AI models to tell you cash outstanding. So then we use the machine learning, deep learning models to do the task. We are pretty confident, then, that we’re not going to get hallucinations… because, again, the AI models convert the language but the actual calculations happen with our [other] models,” she said. 

She also highlighted the AI’s mobile compatibility. People can access JAX through a mobile device, so they’re not tied to a desk, they can do what they need to do wherever they are. Jolly said she was often frustrated by the fact that she would go to meetings with “all these bills and receipts” but couldn’t do anything with them until she could get to her computer later. 

“So the fact that I just sent a quote or just created an invoice… the fact you can do it from email, you can do it from WhatsApp, it is extremely liberating and efficient for small business users as well as an accountant. So, being able to get paid, being able to make sure you’re staying on top of what you need to do to get your business moving, I think is cool, because believe it or not most of our businesses, when they have to send invoices or whatever at night, they forget,” she said. 

These features are only the beginning. Jolly, during her presentation, said that JAX, over time, will be in more and more of the Xero platform where it might be able to do things like check for anomalies or find specific types of transactions. Regardless of what it does, though, Jolly said the key differentiator will be its accuracy. 

“I think our accuracy will be our long sustaining [differentiator], like ‘hey we found a way to do gen AI that is accurate. And private,” she said. 

JAX is currently in beta. Those who are interested in taking part can click here.

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Accounting

Continuous Auditing Transforms Corporate ERPs

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continuous auditing transforms corporate erps

As corporate accounting departments cross the threshold into late July 2026, the adoption of continuous, automated auditing systems has reached a definitive turning point. Driven by advances in artificial intelligence and deep integration with modern Enterprise Resource Planning (ERP) platforms, leading finance organizations are moving away from traditional, periodic post-hoc audits in favor of real-time, 100% transactional verification. This technological transition is redefining internal control environments, reducing compliance costs, and eliminating the structural delays inherent in legacy quarterly closing processes.

Unlike traditional auditing frameworks that rely on statistical sampling—a process that inevitably leaves operational blind spots—continuous auditing software monitors operational data feeds continuously. Every purchase order, electronic invoice, payroll disbursement, and cross-border wire transfer is automatically cross-referenced against established corporate governance parameters, regulatory tax schedules, and anti-fraud algorithms in real time. Anomalies or unauthorized ledger entries are flagged instantly, allowing internal audit teams to investigate and remediate compliance gaps immediately rather than months after the close of a financial period.

The implications for executive financial management are far-reaching. By embedding continuous verification directly into daily transaction workflows, chief financial officers gain uninterrupted visibility into the organization’s true financial standing. Real-time balance sheet auditing eliminates the severe operational bottlenecks associated with month-end and quarter-end financial reconciliations, freeing accounting professionals to focus on strategic financial modeling, tax planning, and capital allocation rather than manual data entry and spreadsheet consolidation.

However, implementing continuous auditing requires accounting leadership to invest heavily in data governance and technical upskilling. Internal audit teams must evolve from manual ledger reviewers into system architects capable of auditing complex algorithms and validating automated data pipelines. Accounting firms and corporate controllers that master continuous auditing will establish a resilient compliance framework capable of meeting stringent international regulatory standards with total transparency.

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Accounting

U.S. Imposes New 50% Tariffs on Canadian Imports Under Rare Legal Provision

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U.S. Imposes New 50% Tariffs on Canadian Imports Under Rare Legal Provision

WASHINGTON — In a major escalation of cross-border trade friction, U.S. President Donald Trump has signed executive orders imposing new 50% tariffs on a wide selection of Canadian exports, citing discriminatory practices by Ottawa targeting American auto, dairy, and beverage industries.

The new duties, announced Monday, will take effect in 30 days. They target a broad spectrum of consumer and industrial goods—ranging from wine, liquor, and milk products to commercial cement, furniture, clothing, and hockey equipment.

Untested Legal Mechanism

To enact the sweeping measures, the administration invoked Section 338 of the Tariff Act of 1930—a rarely used legal provision allowing the executive branch to levy additional tariffs of up to 50% on foreign nations deemed to discriminate against U.S. commerce.

White House officials noted that Section 338 addresses trade discrimination rather than national security or economic emergencies. The move comes months after prior global emergency tariffs faced legal challenges in domestic courts, signaling Washington’s pivot toward alternate statutory authorities to maintain import duties.

Senior administration officials briefed reporters that the measure directly responds to Canadian provincial bans on U.S. alcohol, restrictions on American vehicle exports, and import quota disparities affecting U.S. dairy and cheese producers relative to third-party trading partners.

“While the administration continues to secure reciprocal trade agreements globally, Canada retaliated against efforts to protect domestic industry,” U.S. Trade Representative Jamieson Greer stated.

USMCA Impact and Carve-Outs

Significantly, the newly ordered 50% duties will apply to designated items even if they otherwise comply with the United States-Mexico-Canada Agreement (USMCA).

However, the administration confirmed key targeted exemptions:

  • Energy products (including oil and natural gas)
  • Potash and critical minerals
  • Fish and seafood
  • Goods already governed by sector-specific duties (such as existing steel and aluminum tariffs)

Administration representatives emphasized that the tariffs do not stem from recent disputes concerning drifting Canadian wildfire smoke, noting that policy options regarding environmental spillover remain under separate review.

Canadian Response and Market Reaction

Following the White House announcement, the Canadian dollar experienced a sharp decline against the U.S. dollar, falling approximately 0.4% during evening trading.

Canadian Prime Minister Mark Carney issued a statement emphasizing that Canada’s earlier counter-duties had merely matched previous U.S. trade actions. “Canada stands ready to engage intensively to address outstanding issues with the U.S. to the mutual benefit of our citizens,” Carney stated, pointing to detailed proposals Ottawa submitted to modernize the USMCA framework.

Ontario Premier Doug Ford took a firmer stance, urging a “dollar-for-dollar” reciprocal response if the measures go into effect on August 19.

With a 30-day implementation window before the duties officially lock in, industry associations and trade groups on both sides of the border are calling for urgent bilateral negotiations to avert further supply chain disruption across North America.

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Accounting

Automated Continuous Auditing: Transforming Compliance and Real-Time Financial Oversight

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Transforming Compliance and Real-Time Financial Oversight

The traditional accounting paradigm—defined by periodic monthly closures and post-hoc annual audits—is rapidly giving way to continuous, automated financial oversight. As of July 2026, forward-thinking accounting practices and multinational corporate finance departments are leveraging continuous auditing systems powered by advanced machine learning models. These systems monitor operational transactions in real time, shifting audit methodologies from sample-based post-analysis to absolute, 100% transaction-level verification.

The operational advantages of continuous auditing are transformative. Standard auditing procedures historically relied on statistical sampling, which, despite rigorous methodology, inherently left gaps where anomalies or fraudulent transactions could go undetected for months. Modern continuous auditing platforms integrate directly with enterprise resource planning (ERP) databases, instantly cross-referencing purchase orders, invoices, bank feeds, and tax records. Any deviation from established control parameters or unusual transaction behavior triggers immediate flags for internal audit teams, dramatically reducing detection lag from quarters to seconds.

Beyond fraud prevention, continuous auditing fundamentally alters internal reporting and decision-making. Executive leadership no longer has to wait weeks after the close of a quarter to evaluate precise financial standing; real-time verified ledger data provides an uninterrupted view of operating margins, tax liabilities, and cash flow dynamics. This real-time visibility enables corporate controllers to adjust capital allocation strategies dynamically, mitigating liquidity constraints and capitalizing on emerging commercial opportunities far more efficiently than competitors bound to legacy reporting cycles.

However, implementing continuous auditing requires accounting professionals to acquire new analytical capabilities. The role of the auditor is evolving from manual data reconciliation toward system validation, algorithmic model governance, and strategic risk interpretation. Accounting firms and corporate finance departments must invest in continuous technical education, ensuring that audit staff possess the data engineering skills necessary to design, maintain, and evaluate complex automated compliance systems.

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