{"id":8235,"date":"2026-08-09T07:22:11","date_gmt":"2026-08-09T11:22:11","guid":{"rendered":"https:\/\/workai.tv\/news\/2026\/08\/ai-hr\/ai-readiness-from-concept-to-reality\/"},"modified":"2026-08-09T07:22:11","modified_gmt":"2026-08-09T11:22:11","slug":"ai-readiness-from-concept-to-reality","status":"publish","type":"post","link":"https:\/\/workai.tv\/news\/2026\/08\/ai-hr\/ai-readiness-from-concept-to-reality\/","title":{"rendered":"AI readiness: From concept to reality"},"content":{"rendered":"<h2>Share with your CHRO<\/h2>\n<p>KPMG UK is making a direct case that payroll, long treated as back-office plumbing, is now a front-line source of workforce cost control and compliance intelligence. The <a href=\"https:\/\/kpmg.com\/uk\/en\/insights\/culture\/ai-readiness-from-concept-to-reality.html\" target=\"_blank\" rel=\"noopener nofollow\">AI readiness briefing<\/a> puts a number on the inertia cost: payroll and labour leakage from tax non-compliance and overpayments can run 2 to 4 percent of total labour spend. For a 50,000-person organisation, one percent of that leakage alone reaches roughly \u00a38m to \u00a312m in preventable losses. The catch is that fragmented systems and manual controls will neutralise the gain before it starts.<\/p>\n<h2>What this means for your business<\/h2>\n<p>The organisations most exposed here aren&#8217;t the ones without an AI strategy. They&#8217;re the ones with a global payroll strategy on paper and a patchwork of regional vendors, inconsistent processes, and manual reconciliation underneath it. If your payroll data can&#8217;t be trusted at the point of collection, AI-enabled analytics won&#8217;t surface leakage earlier. It will surface noise earlier. The question to ask isn&#8217;t whether your organisation is ready for AI in payroll; it&#8217;s whether your payroll data is clean enough to act on what AI finds.<\/p>\n<p>KPMG, whose advisory practice has a financial interest in the remediation work this framing recommends, is right that the sequencing problem is real and widely underestimated. The recurring failure mode looks like this: an organisation buys an AI-enabled payroll platform from Workday, ADP, or a regional equivalent, then spends the first eighteen months cleaning up the data quality and integration gaps that should have been fixed before go-live. The technology isn&#8217;t wrong. The deployment order is. Operational foundations, including data governance, controls, and integration architecture, have to precede scaled AI use, not follow it.<\/p>\n<p>The CHRO who treats this as an IT procurement decision will lose the budget argument and the outcome. Payroll leakage at the scale described is a workforce cost exposure that sits squarely on the people function&#8217;s P&#038;L accountability, and the remediation requires change readiness and process ownership that HR has to drive. The CFO will fund a platform; they won&#8217;t fix the regional process inconsistencies that created the leakage in the first place. If this story is about your organisation, the leading indicator to watch is whether your payroll accuracy rate is measured and visible at the C-suite level. If it isn&#8217;t, the \u00a38m to \u00a312m estimate is almost certainly an undercount.<\/p>\n<p><em>Based on reporting from <a href=\"https:\/\/kpmg.com\/uk\/en\/insights\/culture\/ai-readiness-from-concept-to-reality.html\" target=\"_blank\" rel=\"noopener nofollow\">AI readiness: From concept to reality<\/a>, originally published 2026-08-05 05:05:00.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Share with your CHRO KPMG UK is making a direct case that payroll, long treated as back-office plumbing, is now a front-line source of workforce cost control and compliance intelligence. The AI readiness briefing puts a number on the inertia cost: payroll and labour leakage from tax non-compliance and overpayments can run 2 to 4 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":8236,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[149],"tags":[174],"tmauthors":[],"class_list":["post-8235","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ai-hr","tag-chro"],"_links":{"self":[{"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/posts\/8235","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/comments?post=8235"}],"version-history":[{"count":0,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/posts\/8235\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/media\/8236"}],"wp:attachment":[{"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/media?parent=8235"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/categories?post=8235"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/tags?post=8235"},{"taxonomy":"tmauthors","embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/tmauthors?post=8235"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}