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.<\/span> <\/span><\/p>\n 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. <\/span> <\/span><\/p>\n 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 \u2013 practical applications that enhances the efficiency of daily work and helping expand your team’s current capabilities. <\/span> <\/span><\/p>\n One specific accounting platform that offers AI integration in its features is NetSuite. <\/span> <\/span> \u00a0<\/p>\n NetSuite has been incorporating AI and machine learning<\/span><\/u><\/a> 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.<\/span> <\/span><\/p>\n 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.<\/span> <\/span><\/p>\n Here are seven useful AI features and capabilities accountants should know about.<\/span> <\/span><\/p>\n \u00a0<\/p>\n Historical financial data tells you where the business has been. For CFOs and accountants, however, the bigger question is often: Where is it heading?<\/span> <\/span><\/p>\n This is one area where predictive analytics can be useful.<\/span> <\/span><\/p>\n 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.<\/span> <\/span><\/p>\n Rather than manually examining years of data in search of patterns, predictive tools can provide finance teams with an additional analytical reference point.<\/span> <\/span> Imagine that your professional services firm is preparing its revenue forecast for the coming year.<\/span> <\/span><\/p>\n 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.<\/span> <\/span><\/p>\n This does <\/span>not<\/span><\/strong> mean accountants should simply accept whatever number an algorithm produces.<\/span> <\/span><\/p>\n Forecasts still need context.<\/span> <\/span><\/p>\n 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.<\/span> <\/span><\/p>\n Newer <\/span>predictive capabilities<\/span><\/u><\/a> within NetSuite Planning and Budgeting can also incorporate multiple input drivers into forecasts, providing finance teams with more sophisticated ways to evaluate potential outcomes.<\/span> <\/span><\/p>\n The benefit is not replacing professional judgments. It is giving that judgment more information to work with.<\/span> <\/span><\/p>\n \u00a0<\/p>\n Finding an accounting error is one thing. Finding it before it causes problems during the financial close is another.<\/span> <\/span><\/p>\n NetSuite Exception Management<\/span><\/u><\/a> 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.<\/span> <\/span><\/p>\n This can be particularly useful when finance teams deal with a high volume of transactions.<\/span> <\/span><\/p>\n 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.<\/span> <\/span><\/p>\n Think of exception management as another layer of review, not an independent worker.<\/span> <\/span><\/p>\n 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.<\/span> <\/span><\/p>\n This distinction matters.<\/span> <\/span><\/p>\n 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.<\/span> <\/span><\/p>\n 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.<\/span> <\/span><\/p>\n This can help make review processes more focused and support a smoother financial close.<\/span> <\/span><\/p>\n \u00a0<\/p>\n Accounts receivable is another area where NetSuite AI can turn historical information into useful forward-looking insights.<\/span> <\/span><\/p>\n 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.<\/span> <\/span><\/p>\n For accountants managing receivables, that information can provide more context than simply looking at an invoice’s contractual due date.<\/span> <\/span><\/p>\n Suppose you have two customers with invoices due on the same date.<\/span> <\/span><\/p>\n 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.<\/span> <\/span><\/p>\n Payment-date prediction can help make those behavioral differences more visible.<\/span> <\/span><\/p>\n The accountant can then use that information when prioritizing collection activities, discussing expected cash receipts, or assessing short-term liquidity.<\/span> <\/span><\/p>\n NetSuite also offers generative AI capabilities such as Narrative Insights for invoices. These can summarize relevant information about an invoice\u2014including payment-related signals, status, linked transactions, and potential issues that may warrant attention.<\/span> <\/span><\/p>\n Again, these outputs should support rather than eliminate review.<\/span> <\/span><\/p>\n 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.<\/span> <\/span><\/p>\n Used appropriately, however, these tools can make invoice review and receivables management more informed.<\/span> <\/span><\/p>\n \u00a0<\/p>\n Forecasting has always required accountants to balance historical information with assumptions about what comes next.<\/span> <\/span><\/p>\n AI adds another tool to that process.<\/span> <\/span><\/p>\n![\"business-team-collaborating-with-technology-in-mod-2026-01-09-09-08-10-utc\"](\"https:\/\/www.dvphilippines.com\/hs-fs\/hubfs\/business-team-collaborating-with-technology-in-mod-2026-01-09-09-08-10-utc.jpg?width=1434&height=956&name=business-team-collaborating-with-technology-in-mod-2026-01-09-09-08-10-utc.jpg\")
<\/span><\/p>\nRead: <\/span>Why Accountants Need to be Proficient in Accounting Technology<\/span><\/u><\/a> <\/span><\/h3>\n
NetSuite and NetSuite AI<\/span> <\/span><\/h2>\n
1. Predictive Planning and Analytics<\/span> <\/span><\/h2>\n
The Benefits of Predictive Analytics<\/span> <\/span><\/h3>\n
2. AI-assisted Financial Exception Management<\/span> <\/span><\/h2>\n
How It Helps Your Accounting Workflow<\/span> <\/span><\/h3>\n
3. AI-Enabled Invoice and Payments<\/span> <\/span><\/h2>\n
How It Benefits Your Team<\/span> <\/span><\/h3>\n
4. AI-Enabled Financial Forecasting<\/span> <\/span><\/h2>\n