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NetSuite touts AI enhancements | Accounting Today

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Business solutions provider Oracle NetSuite hailed the release of NetSuite Next, a cloud-based AI-driven ERP solution with embedded conversational intelligence, agentic workflows, and natural language search capabilities, which the company touted as “the future of NetSuite.” 

The suite is centered around a natural language assistant called Ask Oracle that can be used to  search, navigate, analyze, and act across the entire NetSuite dataset, with the ability to act across customizations and extensions built on the SuiteCloud Platform, including partner applications available in the SuiteCloud Developer Network. This allows it to not only execute agentic workflows but deliver context-aware answers, visualizations, interactive content, and reasoning that explains the “how” and “why” behind every response. This unified data model also enables NetSuite Next to help identify opportunities and risks before they become issues as well as understand individual users’ roles and context.

In terms of automation, the AI can help automate tasks such as payment proposals, vendor selection, reconciliations, and supply chain operations. These new agentic workflows give users the choice to approve key decisions or allow agents to act autonomously. The solution also provides automated explanations, available in record forms, reports, and other pages across the suite; the narrative summaries and insights proactively surface correlations and trends from NetSuite’s unified data model. The software can also access large language models that extract and validate information from a wide range of sources—including invoices, contracts, receipts, PDFs, policy manuals, training guides, customer testimonials, and purchase orders—which the AI can then read, interpret, and act on. These things can be done via a new collaborative workspace embedded in NetSuite, AI Canvas, from which users can analyze problems, brainstorm solutions, and trigger agentic workflows. 

NetSuite

“NetSuite Next puts AI to work for businesses by making it a natural extension of the way they already work,” said Evan Goldberg, founder and executive vice president of Oracle NetSuite. “With the latest AI innovations built in, NetSuite Next can deliver powerful insights as well as autonomously complete repetitive and complex tasks, all with enterprise-level reliability. Every insight and action is rooted in data and governed by the existing roles, permissions, and policies our customers depend on. It enables users to discover patterns in their business and engage with NetSuite in their own words, all while understanding an individual user’s context, so it can deliver answers and actions that provide immediate value.”

Customers can switch to NetSuite Next without having to migrate or disrupt existing customizations.

SuiteCloud updates

The company also announced several new AI-related updates for its SuiteCloud Platform, many of them related to crafting custom AI solutions and interacting with autonomous AI agents. 

The new AI Connector Service lets organizations select the AI models that best fit their business needs, define the data they can access, and govern how the models interact with NetSuite. This includes both NetSuite’s own models as well as those of third parties, as the software is built on open standards that include a Model Context Protocol, allowing the suite to connect with external AI assistants and agent platforms. To help align outputs with a customer’s policies, standards, and language, NetSuite plans to introduce Custom MCP prompts that will enable administrators to design prompts that guide external assistants on how to respond.

The SuiteCloud platform will also feature a new AI toolkit that includes a collection of APIs that expose NetSuite’s own AI services, including services for document analysis, reasoning, and narrative reporting, for direct use in SuiteApps, workflows, and customizations. Customers have access to Document AI APIs, with Narrative Insights AI and Knowledge AI APIs planned for future availability. Users will also have access to the AI Studio, which helps administrators and business users define, tune, and manage how AI operates inside NetSuite. The AI Studios enable customers to adapt the AI capabilities in NetSuite to their unique industry requirements and business processes by giving customers direct control over AI reasoning, outputs, and interactions. The solution also includes a new Prompt Studio, which lets teams design, test, and preview prompts to see how AI will respond before deployment, and Narrative Insight Studio, which will enable users to control how summaries, explanations, and insights are generated.

Users can create their own agents through the new SuiteAgent framework that lets customers, partners, and developers build, integrate, and deploy SuiteAgents directly on the SuiteCloud Platform. SuiteAgents developed using the new SuiteAgent frameworks in the SuiteCloud Development Framework (SDF) can leverage NetSuite AI toolkits and services to help businesses achieve outcomes faster, more intuitively, and with greater confidence. SuiteAgents will be supported by NetSuite Next’s new agentic workflow experiences, which will enable users to monitor agent progress, review results, and intervene when needed.

There is also a new set of AI assistants. They include SuiteCloud Developer Assistant, an AI-powered coding companion that will accelerate coding, documentation, customization, and testing by reducing time spent on repetitive tasks and SuiteFlow Assistant, an AI-powered assistant that will help admins and power users design and refine workflows using natural language in NetSuite Next.

“It has always been important to me that NetSuite is flexible and adaptable so that our customers can support their unique and ever-changing business needs,” said Goldberg. “Today, we are taking that flexibility and adaptability to a new level. The new capabilities in SuiteCloud will help our customers and partners transform how AI works for business by giving them the ability to quickly and easily build AI agents, connect external AI assistants, and orchestrate AI processes.”

More AI capacities are coming as part of NetSuite Next within 12 months. 

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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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