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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

SEC’s Semiannual Reporting Proposal Faces Investor Pushback: What CFOs Need to Know

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U.S. Securities and Exchange Commission (SEC)

A proposal from the U.S. Securities and Exchange Commission to potentially shift some public companies away from quarterly financial reporting toward a semiannual model is drawing significant pushback from investors, even as it continues moving through the regulatory process. The debate has direct implications for corporate finance teams, auditors, and the broader transparency of U.S. capital markets.

What the SEC Proposed

According to a summary published by accounting advisory firm Cohen & Co., the SEC issued a proposed rule on May 19, 2026, aimed at simplifying financial reporting requirements for many U.S. public companies. The proposal would potentially reduce the frequency of certain mandatory disclosures from quarterly to semiannual, a structural change that has not been made to core U.S. reporting requirements in decades.

The proposal follows an extended debate within U.S. policy circles, with proponents arguing that reduced reporting frequency could lower compliance costs and free up management time for longer-term strategic planning rather than quarter-to-quarter results management.

Why Investors Are Pushing Back

Comment letters submitted in response to the proposal have been extensive, and according to Cohen & Co.’s review of the public record, investors “appear to be largely opposed” to the shift, viewing frequent interim reporting as a core benefit of U.S. capital markets relative to other jurisdictions.

Accounting and law firms have taken a more measured position, generally urging any changes to remain aligned with the Financial Accounting Standards Board (FASB), whose existing disclosure requirements and guidance are built around a quarterly reporting cadence. A shift to semiannual reporting without corresponding changes to FASB guidance could create friction between SEC filing requirements and GAAP-based disclosure expectations.

Lessons From the U.K. Experience

The debate is not without precedent. The United Kingdom moved away from mandatory quarterly reporting for listed companies in 2014, returning to a semiannual disclosure requirement. According to Cohen & Co.’s analysis, that experience offers a cautionary data point: there was no measurable increase in capital expenditure or R&D investment following the change, while analyst coverage of affected companies declined as reliable interim information became less available — a particular risk for smaller and newly public companies that rely on analyst coverage to maintain investor visibility.

Practical Implications for Finance Teams

Beyond the debate over disclosure philosophy, the proposal carries practical complications. Many companies have debt covenants and credit agreements structured around quarterly financial delivery; a shift to semiannual reporting could require renegotiating those terms. Reduced reporting frequency would also extend the “window of market silence” between disclosures, a factor that governance and investor-relations teams would need to manage carefully to avoid information asymmetry.

Separately, and unrelated to the reporting-frequency debate, the SEC and FASB have continued finalizing more routine updates this year. New Accounting Standards Updates are taking effect for December 31, 2026, fiscal year-ends covering income tax disclosures, credit loss measurement, induced debt conversions, and stock compensation, according to Eide Bailly’s review of 2026 ASU activity. Additional guidance on paid-in-kind dividends and environmental credits is also on the near-term horizon.

What to Watch Next

The semiannual reporting proposal remains in the comment and review phase, and no final rule has been adopted as of this writing. Finance leaders should monitor the SEC’s regulatory agenda for further movement, while treating the current quarterly reporting requirement as the operative standard until any final rule is issued and an effective date is set.

Given the extent of investor opposition documented in the comment file, a full shift to mandatory semiannual reporting appears more likely to result in either a scaled-back compromise or continued study rather than swift adoption — though the SEC’s ultimate direction remains uncertain.

 

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Accounting

AI-Driven Automation and Continuous Accounting Frameworks

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The accounting profession is undergoing a fundamental structural transition as enterprise finance departments shift from periodic month-end closes toward automated continuous accounting models. By integrating specialized machine learning algorithms directly into enterprise resource planning (ERP) platforms, chief accounting officers are transforming financial reporting from a retrospective exercise into a real-time operational asset.

The Shift from Periodic Close to Continuous Financial Reporting
Traditional accounting workflows heavily relied on manual data reconciliation, spreadsheet calculations, and multi-week closing cycles at the end of each fiscal period. In contrast, continuous accounting frameworks utilize automated software agents to process, validate, and post transactional data in real time as business activities occur.

Automated bank reconciliation tools cross-reference incoming bank feeds, invoice records, and purchase orders automatically. By resolving transactional variances instantly throughout the month, corporate accounting teams eliminate the traditional workload spikes associated with quarterly and annual closes.

Machine Learning in Audit Trails and Anomaly Detection
Advanced natural language processing (NLP) and machine learning tools are redefining internal audit and financial control environments. Automated systems analyze 100% of general ledger entries, identifying anomalous transactions, duplicate payments, and unauthorized journal entries in real time.

Rather than relying on random statistical sampling, corporate internal auditors can focus their attention on high-risk flags automatically surfaced by algorithmic monitoring platforms. This continuous risk assessment strengthens internal controls over financial reporting (ICFR) and significantly reduces fraud risk.

Evolving Roles for Accounting Professionals
As routine data entry and manual reconciliation tasks become fully automated, the skill set required for accounting professionals is shifting toward data analysis, system design, and strategic business advisory.
– Systems Governance: Accountants are increasingly responsible for monitoring algorithmic accuracy and managing data integration pipelines.
– Business Partnership: Finance professionals leverage real-time financial dashboards to advise operational leaders on margin management and working capital allocation.
– Regulatory Compliance Management: Accounting teams utilize automated platforms to ensure compliance with dynamic tax codes and international accounting standards.

Core Implementation Recommendations
1. Deploy Automated Reconciliation Tools: Integrate continuous transaction processing modules into existing enterprise ERP architectures.
2. Establish Algorithmic Governance Controls: Implement strict internal testing protocols to ensure automated accounting rules comply with GAAP/IFRS standards.
3. Reskill Accounting Teams: Invest in training finance staff on data analytics, workflow automation, and predictive financial modeling.

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Accounting

Global ESG Reporting Standards and Double Materiality Compliance

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Corporate accounting departments face expanding reporting expectations as international sustainability disclosure standards achieve regulatory enforcement across major global jurisdictions. Chief Accounting Officers (CAOs) and corporate controllers are establishing rigorous internal accounting controls to treat Environmental, Social, and Governance (ESG) metrics with the same data precision, auditability, and governance as traditional financial statements.

Regulatory Harmonization Under Global Sustainability Frameworks
The implementation of standardized sustainability reporting frameworks—notably rules established by international sustainability accounting boards—has created unified expectations for public and large private enterprises. Corporations must report standardized metrics covering greenhouse gas emissions (Scope 1, 2, and material Scope 3), energy utilization, workforce demographics, and supply chain governance.

In Europe and other participating international jurisdictions, double materiality principles are mandatory. Under double materiality, organizations must report both how external sustainability risks impact corporate financial performance, and how internal corporate operations affect surrounding environmental and social structures.

Integrating Sustainability Metrics into Core ERP Systems
To provide auditable non-financial data, enterprise organizations are integrating specialized carbon accounting and ESG management platforms directly into core ERP systems. Automated data collectors capture energy utility invoices, logistics fuel consumption metrics, and vendor compliance records in real time.

Establishing automated, traceable data pipelines ensures that non-financial reporting is supported by clear audit trails. This structured approach allows external financial auditors to provide reasonable assurance on sustainability disclosures during annual corporate reporting cycles.

Financial Impacts and Capital Market Disclosure
Accurate ESG reporting directly influences corporate cost of capital and institutional credit ratings. Commercial lenders and institutional asset managers systematically incorporate sustainability metrics into risk pricing models. Companies that demonstrate transparent, verifiable progress in operational energy efficiency and climate risk mitigation benefit from expanded access to green bond markets and lower debt pricing.

Action Steps for Accounting Leadership
1. Implement Double Materiality Frameworks: Conduct comprehensive assessments to identify material financial and operational sustainability metrics.
2. Build Auditable Non-Financial Data Pipelines: Automate ESG data collection within core accounting software to ensure data integrity.
3. Align Sustainability with Annual Financial Filings: Prepare non-financial disclosures concurrently with financial statements to satisfy regulatory audit expectations.

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