Posted by Alyanna Tagamolila
Sep 16, 2026
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When it comes to finance and accounting professionals being able to provide expert accounting services, accounting technology proficiency plays a big role. With most accounting processes now being done within a company's chosen cloud accounting platform, the day-to-day workload of the average finance and accounting professional is widely reliant on accounting software.
Hence, it is only natural that with the recent developments in accounting technology, the everyday workflow of a finance team is affected. From automating repetitive processes to analyzing financial data, Artificial Intelligence (AI) has opened new possibilities for finance teams looking to accomplish more without adding manual work.
AI in accounting, however, is not an automatic source of convenience. For finance and accounting professionals, AI integrations are only valuable if you are able to identify how it can help your current processes – practical applications that enhances the efficiency of daily work and helping expand your team's current capabilities.
One specific accounting platform that offers AI integration in its features is NetSuite.
Read: Why Accountants Need to be Proficient in Accounting Technology
NetSuite and NetSuite AI
NetSuite has been incorporating AI and machine learning into different areas of its ERP and enterprise performance management ecosystem. Depending on your NetSuite products, account configuration, region and enabled features, these capabilities can assist with tasks ranging from identifying unusual transactions to forecasting future financial performance.
For professional services firms and finance departments already working with NetSuite, understanding these tools can help you determine where AI can provide meaningful support -- and where human accounting expertise remains essential.
Here are seven useful AI features and capabilities accountants should know about.
1. Predictive Planning and Analytics
Historical financial data tells you where the business has been. For CFOs and accountants, however, the bigger question is often: Where is it heading?
This is one area where predictive analytics can be useful.
NetSuite Planning and Budgeting includes predictive planning capabilities that use historical actuals to project potential future trends. Accountants can compare these predictions against existing forecasts and use them to help validate or update forecast assumptions.
Rather than manually examining years of data in search of patterns, predictive tools can provide finance teams with an additional analytical reference point.
The Benefits of Predictive Analytics
Imagine that your professional services firm is preparing its revenue forecast for the coming year.
Your team may already have a forecast based on expected client engagements, historical performance, pipeline information, and assumptions from business leaders. Predictive planning gives you another perspective by using historical actuals to identify trends and generate projections.
This does not mean accountants should simply accept whatever number an algorithm produces.
Forecasts still need context.
A model based primarily on historical information, for instance, may not fully capture the effect of a newly acquired client, a planned expansion, changes in pricing, or other business developments. The accountant's job therefore shifts from manually producing every piece of analysis toward reviewing predictions, questioning assumptions, and determining what the numbers mean for the organization.
Newer predictive capabilities within NetSuite Planning and Budgeting can also incorporate multiple input drivers into forecasts, providing finance teams with more sophisticated ways to evaluate potential outcomes.
The benefit is not replacing professional judgments. It is giving that judgment more information to work with.
2. AI-assisted Financial Exception Management
Finding an accounting error is one thing. Finding it before it causes problems during the financial close is another.
NetSuite Exception Management uses AI to help identify unusual or potentially missing financial transactions. The system analyzes historical transaction information and can surface anomalies involving areas such as journal entries, invoices, bills, and bank transactions.
This can be particularly useful when finance teams deal with a high volume of transactions.
Instead of relying solely on someone to manually inspect every record for something that looks out of place, AI can help narrow down the transactions that may deserve attention.
How It Helps Your Accounting Workflow
Think of exception management as another layer of review, not an independent worker.
If a transaction deviates from the patterns reflected in historical data, the system can flag it for investigation. Accountants can then look into the underlying record and determine whether it represents a genuine error, a legitimate unusual transaction, or something requiring further action.
This distinction matters.
An anomaly is not automatically a mistake, just as a transaction that appears normal is not automatically correct. Human review therefore remains important even when AI is involved.
For accounting teams, the more practical benefit is prioritization. Instead of spending equal amounts of time examining every transaction, your people can direct more attention toward items that have been identified as unusual.
This can help make review processes more focused and support a smoother financial close.
3. AI-Enabled Invoice and Payments
Accounts receivable is another area where NetSuite AI can turn historical information into useful forward-looking insights.
NetSuite's Payment Date Prediction feature uses machine learning to estimate when payment for an invoice is likely to arrive. The model considers customers' historical payment patterns and can display both a predicted payment date and the potential number of overdue days on invoice records.
For accountants managing receivables, that information can provide more context than simply looking at an invoice's contractual due date.
How It Benefits Your Team
Suppose you have two customers with invoices due on the same date.
On paper, those receivables may look almost identical. But your historical data may show that one customer consistently pays on time while another tends to settle invoices several days later.
Payment-date prediction can help make those behavioral differences more visible.
The accountant can then use that information when prioritizing collection activities, discussing expected cash receipts, or assessing short-term liquidity.
NetSuite also offers generative AI capabilities such as Narrative Insights for invoices. These can summarize relevant information about an invoice—including payment-related signals, status, linked transactions, and potential issues that may warrant attention.
Again, these outputs should support rather than eliminate review.
AI-generated summaries and predictions can change as information changes, and predictions are estimated rather than guarantees. Accountants still need to consider customer circumstances, disputed invoices, payment arrangements, and other information that may not be adequately reflected by historical patterns alone.
Used appropriately, however, these tools can make invoice review and receivables management more informed.
4. AI-Enabled Financial Forecasting
Forecasting has always required accountants to balance historical information with assumptions about what comes next.
AI adds another tool to that process.
Within NetSuite Planning and Budgeting, AI-powered predictive planning can continuously analyze plans, forecasts and variances to uncover trends, anomalies, biases and relationships in financial information.
More advanced prediction capabilities can also use multiple drivers rather than relying on a single historical variable.
This can be particularly valuable for organizations with forecasts affected by several interconnected factors.
5. Predictive Cash Flow Insights
Cash flow can look healthy on a financial statement and still become a problem if expected receipts arrive later than anticipated.
That is why cash forecasting is closely connected to the quality and timing of underlying information.
NetSuite provides cash management and forecasting capabilities that can bring together relevant financial data to give finance teams better visibility into expected cash positions. AI and machine-learning capabilities elsewhere in the NetSuite environment -- including payment-date prediction and predictive planning, can provide additional information that accountants can use when assessing future cash movements.
How It Benefits Your Team
A basic cash forecast may assume that invoices will be collected according to their stated due dates.
Reality can be different.
If machine learning indicates that certain invoices are likely to be paid later based on historical customer behavior, finance teams have another data point to consider when evaluating expected cash inflows.
For a CFO, this can be useful when making decisions involving working capital, upcoming payments, or short-term liquidity requirements.
The same principle applies to longer-term forecasting.
Historical patterns and predictive analysis can help teams test whether their expectations are consistent with previous results. Accountants can then layer business-specific information on top of those insights.
The result is not a perfect prediction of future cash. No technology can guarantee that.
What you can achieve is a more informed process, one in which forecasts are continually reviewed against available data rather than being treated as static spreadsheets that are updated only when someone has time.
6. AI-Enabled Bank Reconciliation and Transaction Matching
Bank reconciliation is essential, but few accountants would describe manually matching large volumes of transactions as the most valuable use of their expertise.
NetSuite has been expanding its use of intelligent matching within bank reconciliation workflows.
Its banking capabilities can use rules and AI tools to identify likely matches between imported bank information and transactions recorded in NetSuite. Newer workflows can present suggested matches for accountants to review before reconciliation.
This is a good example of what practical AI features for accountants can look like.
The objective is not necessarily to remove the accountant from reconciliation. Instead, the technology handles more of the initial matching work while the professional reviews the results and investigates exceptions.
How It Benefits Your Team
Consider a business processing hundreds or thousands of bank transactions during a reporting period.
Without automation, employees may spend substantial time comparing records line by line.
When a system can suggest likely matches, accountants can concentrate on unmatched items, discrepancies and transactions requiring investigation.
This creates an important division of labor between people and technology.
AI is well suited to processing large quantities of structured information and identifying probable patterns. Accountants are better positioned to evaluate ambiguous cases, investigate discrepancies, and apply professional judgment.
As more routine matching is supported by automation, finance teams can redirect capacity toward reconciliations that require analysis.
For firms struggling with increasing transaction volumes or limited accounting capacity, that distinction can become increasingly important.
You may also read: The Importance of AI Literacy in the Finance and Accounting Industry
7. Generative AI-Enabled Insights
NetSuite has introduced generative AI capabilities that can help summarize information and surface important details within the system. Narrative Insights, for example, can provide AI-generated summaries of records such as invoices, helping users quickly understand relevant information, and identify potential areas requiring follow-up.
Newer NetSuite environments are also expanding conversational AI capabilities, allowing users to interact with business information in more natural ways where supported.
The Important Distinction
Accountants regularly work with detailed records, reports, and supporting documents.
The problem is rarely a complete absence of data. More often, it is the time required to find the right information, connect different pieces of context, and determine what requires attention.
Generative AI can help reduce some of this initial information gathering effort.
An accountant reviewing an invoice, for example, may be able to use an AI-generated narrative to quickly identify its current status and relevant payment or transaction information before examining the supporting details.
But there is an important limitation to remember: generated information still needs verification.
Generative AI outputs can vary, and accountants remain responsible for validating information used in financial reporting and decision-making. For this reason, the best way to approach generative AI in accounting is as an assistant rather than an authority.
The Need for Human Oversight
The growing number of Oracle NetSuite features powered by AI shows how quickly accounting technology is evolving.
Predictive planning can provide another perspective on forecasts. Machine learning can help estimate payment timing. Exception management can surface unusual transactions. Intelligent matching can reduce manual reconciliation work. Generative AI can make complex financial information easier to review.
These capabilities can certainly streamline parts of the accounting workflow.
But technology alone does not create a high-performing finance function.
You still need accountants who understand your processes, maintain the quality of your financial data, review exceptions, and turn information into meaningful business insights.
This becomes particularly important for growing organizations. As transaction volumes and reporting requirements increase, your challenge may no longer be access to technology -- it may be having enough skilled people to use that technology effectively.
D&V Philippines provides outsourced finance and accounting support for CFOs and professional services firms. Our accounting professionals are experienced in working with a range of cloud accounting and ERP systems, including NetSuite, and can support functions such as accounts payable and receivable, accounting and bookkeeping, management reporting, financial planning and analysis, forecasting and other finance processes.
Whether you need support for specific accounting functions or an extension of your existing finance team, the goal is the same: make sure your people and technology work together so your organization can focus more capacity on the work that creates value.
Read Next: Embracing the Inevitable: The Integration of AI and Accounting
Looking to integrate the latest in accounting technology into your operations?
Consider D&V Philippines. We are a reliable outsourcing firm specializing in finance, accounting, and data analytics – proficient in utilizing AI-enabled solutions and platforms in our service delivery process. Schedule a free consultation with us today to learn more about how we can help your cloud accounting integration efforts today.
You can also visit our website to learn more about how we can help you or download our Business Analytics whitepaper to learn more about our solutions for staying on top of your accounting needs.
