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Artificial intelligence is on the agenda of every board meeting. Yet there is a gap between \u201cwe have AI\u201d and \u201cAI makes us money\u201d, and you cannot cross a gap in two jumps. Here is a look without the magic: what AI can already do in an ERP system, in budgeting and in payroll, where it is too early to trust it, and where an owner should start.<\/strong><\/p>\n In brief<\/p>\n In spring 2026 Gartner analysts surveyed 204 finance leaders and gave finance AI something like a school report card. The picture is honest: 66% of the organisations that adopted AI name higher productivity as a top benefit, yet 63% say implementation was slower than expected<\/a>.<\/p>\n Another figure from the same survey explains why boards get bored by AI updates: 45% of AI investments lean towards productivity and only 20% towards decision quality<\/a>. The first means doing the same thing faster. Owners need the second.<\/p>\n The money is flowing anyway. Gartner estimates that by 2027, 62% of ERP spend will go to applications with generative AI, up from 14% in 2024<\/a>. The train has left the station. The question is whether you have a seat or are hanging on to the door.<\/p>\n Where AI can be used today and where there is no need to rush<\/em><\/p>\n In Oracle JD Edwards EnterpriseOne<\/a> AI is not hidden behind one magic button. The system has Orchestrator, an automation tool that can call external services. Since Release 24 it has been able to connect to Oracle Cloud AI services<\/a>: document understanding, computer vision and generative models. And the JD Edwards roadmap lists the Model Context Protocol<\/a>, a standard that lets AI assistants talk to the ERP system by the rules instead of guessing.<\/p>\n What this means in practice:<\/p>\n One caveat: Orchestrator does not invent anything. It executes a documented process. If your purchasing procedure lives in one person\u2019s head, AI will inherit the same chaos, only faster. We covered linking processes and money in project business in the article on Primavera P6 and JD Edwards<\/a>.<\/p>\n Budgeting adopted AI before anyone else: it has a history of numbers, and machines learn well from history. IBM Planning Analytics<\/a> includes an assistant built on watsonx. You can type \u201cshow me last year\u2019s revenue for mobile phones\u201d and it builds the right view of the data<\/a>.<\/p>\n Three capabilities make it worth a look:<\/p>\n IBM itself reports that its own financial planning reached model accuracy of about 95%<\/a>. Your number will be your own, but the direction is clear: people stop assembling the forecast and start discussing it. If your budget still lives in spreadsheets, start with our article \u201cBudgeting in Excel vs IBM Planning Analytics\u201d<\/a>.<\/p>\n A payroll error is the most expensive kind because every employee sees it. The figures are telling. In a Symmetry survey, 78% of payroll teams already use AI, but only 45% trust it to stay tax-accurate<\/a>. In another study, 98% of HR professionals said they do not trust generative AI to make workforce decisions<\/a>.<\/p>\n That is a sound attitude. In payroll, AI works best as a second reviewer, not as the calculator:<\/p>\n The calculation itself has to stay predictable: the same data gives the same result, and every amount can be traced back to its source entries. That is the principle behind RBC HCM Solutions<\/a>. For how to change systems without missing payday, see our article on HR and payroll migration<\/a>.<\/p>\n Usually not. In JD Edwards, AI services connect through Orchestrator; in IBM Planning Analytics the assistant and forecasting are part of the product. Get the most out of what you already own first.<\/p>\n It replaces manual entry and stitching spreadsheets together. Review, judgement and accountability stay with people, and that is exactly what they gain time for.<\/p>\n That is a matter of architecture, not faith. You need to know where the data is processed, who has access and what is logged. For personal and payroll data this is settled before the pilot, not after.<\/p>\n RBC Group implements Oracle JD Edwards, IBM Planning Analytics and RBC HCM Solutions in Kazakhstan, Uzbekistan, Ukraine and Azerbaijan. We will help you pick the first process for AI, assess data readiness and run a pilot with a measurable result.<\/p>\n Contact us<\/a>marketing@rbc-grp.solutions<\/a>, +7 727 258 1712<\/span><\/p>\n<\/div>\n Artificial intelligence is on the agenda of every board meeting. Yet there is a gap between \u201cwe have AI\u201d and \u201cAI makes us money\u201d, and you cannot cross a gap in two jumps. Here is a look without the magic: what AI can already do in an ERP system, in budgeting and in payroll, where<\/p>\n","protected":false},"author":6,"featured_media":6645,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[173],"tags":[],"class_list":["post-6662","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-stati-en"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n
The report card: a pass, but only just<\/h2>\n
![\"Where](\"https:\/\/rbc-grp.solutions\/wp-content\/uploads\/2026\/11\/ai_where_it_works_en.jpg\")
<\/p>\nERP: AI arrives through the conductor<\/h2>\n
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EPM: a forecast that explains itself<\/h2>\n
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HR and payroll: trust, but verify<\/h2>\n
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Three conditions AI cannot do without<\/h2>\n
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Where to start: a 90-day plan<\/h2>\n
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Frequently asked questions<\/h2>\n
Do we need to replace our ERP system to get AI?<\/h3>\n
Will AI replace accountants, planners or payroll specialists?<\/h3>\n
Is it safe to give AI financial and HR data?<\/h3>\n
\nWhere you should start<\/h2>\n
Sources<\/h2>\n
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