Connect with us

Accounting

NetSuite rolls out AI agents, says more to come

Published

on

ERP solutions provider NetSuite dived headfirst into agentic AI, announcing a host of new solutions Thursday using semi-autonomous agents for insights, workflow and security across the entire suite. 

Speaking during its SuiteConnect conference in Manhattan, Brian Chess, senior vice president of technology and AI with Oracle NetSuite, reiterated the company’s commitment to AI implementation, saying that has not changed. What has changed from last year is the nature of that AI. Specifically, AI agents. 

“We’re all talking about agents. It’s a natural progression of taking advantage of what AI can offer as we become more capable,” he said. 

Brian Chess Netsuite

Brian Chess, SVP of technology and AI at NetSuite

Noting that the public’s understanding of what constitutes an AI agent is still being worked out, he said he thinks of an agent as having four properties. One, people can interact back and forth with it, not in complex computer code, but natural conversational language. Two, it understands the context of a business, a workflow, a data set and more, and will continue to evolve its understanding of that context. Three, the agent can take proactive action without human prompting (but not without permission). Four, it can create plans, explore options and make judgment calls. 

“Now, not every agent does all these things in equal measure, but we do think we’re seeing these characteristics shine through more and more,” said Chess. 

One example that NetSuite has already introduced is NetSuite Financial Exception Management, which proactively finds and reports problems to the user without even asking. Another is NetSuite Analytics Assistant, which can generate reports and visualize data along with instructions phrased in plain language. 

Another product, just released, is NetSuite Expert for Suite Answers, which provides an AI agent that delivers tailored NetSuite guidance based on an extensive catalog of NetSuite support resources. For example, users can ask how-to questions in natural language and the agent will analyze thousands of support articles to instantly deliver specific answers and actionable insights. In contrast to solely generative models, this solution has access to NetSuite’s data depository that it can reference, versus being trained on the data via retrieval augmented generation, which can sometimes lack the necessary precision. The agent, however, is contextually aware of what the user should be doing and can guide them step by step, drawing on an up-to-date set of data. While right now it mostly generates insights and answers questions, Chess said the company plans to further develop its capacities in the future. 

“I think you can see how this will help your users get more out of the system, but you can also see where we’re going,” he said: “Right now what we do is let Expert guide you, but in the future it will assist you in carrying out the task.”

Another new agentic solution is NetSuite CPQ AI Assistant, which provides an AI agent that supports sellers and buyers as they configure products and services by doing things like recommending a suitable product configuration based on a natural language conversation, and providing a summary of why the options were selected.

Other new AI-related enhancements announced today include a bolstered Text Enhance feature that allows users to populate custom fields with the assistance of AI-generated suggestions for the intended format, tone and creativity level for any custom text field in NetSuite. A Prompt Management API centralizes the management and deployment of prompts used by large language models in NetSuite, allowing customers and partners to programmatically control NetSuite Text Enhance prompts and actions and integrate generative AI features into SuiteApps or custom NetSuite solutions.

Because AI has been so central to NetSuite, Chess emphasized these enhancements do not represent separate products for purchase but overall improvements to the suite as a whole, so the company won’t increase prices or otherwise charge for their use. 

“We view AI as an intrinsic part of the suite. We’re building it into the foundation. There is no suite without AI, which means we also don’t charge extra for AI, even if we add it to more and more workflows. It will enhance control, agility, collaboration, productivity and [provide] tremendous value, and without it there wouldn’t be a suite. That is why it can’t be an add-on. It has to be built in, not bolted on,” he said.

Accounting for security

Considering how much sensitive financial data accountants handle on behalf of their clients, data privacy and security are especially important for accountants. This concern has led many to hesitate when it comes to implementing AI solutions at their own firm. A recent survey from Rightworks, for example, found that more than half of accounting leaders, 55%, cited data privacy as their biggest impediment to AI adoption. 

On this point, Chess noted that many large public models have huge amounts of data, at least some of which is sensitive information. While there are certain guardrails to prevent people from accessing such information, he added, “if you put it into the model, make it part of building the model, it could come out of the model.” So long as the model has all of that data, there is always the possibility that someone, either accidentally or through adversarial attacks that trick the model into behaviors not originally intended, could potentially access it. 

“But we build the model on a customer by customer basis, and this is important because, first, the model then understands the customer’s data, and second of all it will never cough up another customer’s data since it’s not in it,” he said. 

Chess noted that incidents such as one in March 2023 where ChatGPT revealed other users’ chat histories can come from entrusting large language models to things they should not be used for. 

“We have to be careful not to give the LLM the wrong role,” he said. “I would not, where we are in 2025, give an LLM root access, and we expect it will gatekeep [its data] correctly. We can let the LLM have the permission or subset of permissions that the user who made the request had, and now that LLM cannot do anything that user could not.”

Continue Reading

Accounting

Continuous Auditing Transforms Corporate ERPs

Published

on

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.

Continue Reading

Accounting

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

Published

on

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.

Continue Reading

Accounting

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

Published

on

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.

Continue Reading

Trending