New research quantifies gains in productivity (56%-64%), cash conversion (85% fewer days delinquent) and customer engagement (83% more time with customers)<\/i><\/p>\n
MIAMI–(BUSINESS WIRE<\/a>)–The Hackett Group, Inc.<\/a> (NASDAQ: HCKT), an ROI-led AI transformation<\/a> firm, today announced AI World Class Finance benchmarks \u2013 new research that quantifies how artificial intelligence (AI) is reshaping finance performance and reveals a growing gap between organizations pursuing process-led transformation enabled by AI and those that simply automate existing processes.<\/p>\n This press release features multimedia. View the full release here: https:\/\/www.businesswire.com\/news\/home\/20260715133771\/en\/<\/a><\/p>\n Order-to-cash provides one of the clearest examples of how AI creates enterprise value because improvements in productivity, working capital and customer experience reinforce one another across the order-to-cash process. While many organizations focus on automating individual tasks, AI World Class reveals a larger opportunity: redesigning the entire end-to-end, order-to-cash process around AI. Across credit, order capture, billing, dispute management, cash application and collections, improvements reinforce one another. Better decisions upstream reduce work downstream, creating value throughout the process. The results are significant. AI World Class modeling shows order-to-cash process costs can fall by 52% to 59%, while staffing requirements per $1 billion in revenue decline by 56% to 64%. These gains are not driven by a single automation, but by reimagining how work flows across the entire order-to-cash process.<\/p>\n<\/div>\n These new benchmarks build on The Hackett Group\u2019s AI World Class research introduced in May, which identified performance advantages of up to 75% for organizations pursuing process-led AI transformation. The new finance benchmarks<\/a> show how those advantages will emerge across critical finance and finance-adjacent processes and where organizations can create measurable improvements in productivity, working capital<\/a>, operating leverage and business performance<\/a> now.<\/p>\n The research points to the next phase of enterprise AI adoption being defined less by technology deployment and more by operating performance, marking a shift in how organizations compete. As selling, general and administrative (SG&A) costs continue to outpace revenue growth, efficiency is becoming a more visible measure of management effectiveness \u2013 putting pressure on finance leaders to determine where AI can create sustainable business value.<\/p>\n \u201cAI isn\u2019t creating a technology gap. It\u2019s creating a performance gap,\u201d said Kyle McNabb, principal and program leader for AI Applied Intelligence<\/a>, The Hackett Group\u00ae<\/sup>. \u201cOrganizations that treat AI as another software deployment will see only incremental benefits. The leaders are redesigning end-to-end processes around AI, and that\u2019s where the biggest gains in productivity, working capital and operating performance are emerging.\u201d<\/p>\n The new benchmarks span critical end-to-end finance and finance-adjacent processes, including order-to-cash<\/a> (O2C), account-to-report (R2R), treasury and risk management, and financial planning and analysis (FP&A)<\/p>\n Together, these processes shape cash flow, working capital, financial visibility and business performance. AI World Class Finance benchmarks quantify where process-led AI transformation can create the greatest value and establish future-state performance standards for organizations pursuing AI-enabled transformation.<\/p>\n Order-to-cash provides one of the clearest examples of how AI creates compounding value. Improvements made upstream reduce effort, exceptions and delays throughout the revenue cycle, creating measurable gains in productivity, working capital, customer experience, and cost performance.<\/p>\n The results are significant. AI World Class modeling shows order-to-cash process costs can decline by 52% to 59%, while staffing requirements can decrease by 56% to 64%, allowing finance teams to redirect capacity to higher-value activities that strengthen business performance.<\/p>\n Automated credit decisions increase by 138%, helping organizations make faster, more consistent risk decisions before orders are processed. Digital order intake rises by 134%, improving order quality and reducing downstream rework. As data quality improves, invoice corrections are reduced by approximately one-half, dispute resolution accelerates by 43%, and cash application becomes increasingly autonomous, with 89% more payments automatically matched and applied.<\/p>\n The impact becomes even more visible in collections. AI World Class organizations spend 83% more time engaging customers and significantly less time gathering information, reconciling data and preparing for calls. As collectors focus on higher-value activities, average delinquent days decline by 85%, improving both working capital performance and customer outcomes.<\/p>\n \u201cWhen organizations improve decisions at the front end of the process, the benefits extend across billing, cash application, collections and dispute resolution,\u201d said Jason Logman, principal and Finance Transformation practice leader at The Hackett Group\u00ae<\/sup>. \u201cThat’s how AI creates measurable improvements in cost, cash flow and customer outcomes.\u201d<\/p>\n While order-to-cash provides a clear illustration of the opportunity, similar patterns emerge across the broader AI World Class benchmark portfolio. The benchmarks span 16 end-to-end enterprise processes and identify where process reinvention can unlock the greatest gains in cost, productivity, speed, and business performance. The most significant value is created when organizations redesign how work flows across an entire process enabled by AI rather than focusing on isolated automation opportunities.<\/p>\n The AI World Class benchmarks are grounded in more than 30 years of benchmark data, process intelligence and transformation experience drawn from leading global organizations, including 98% of the Dow Jones Global Titans, 97% of the Dow Jones Industrials and 90% of the Fortune 100.<\/p>\n The AI World Class Finance benchmarks are available exclusively through The Hackett Group\u00ae<\/sup>. Download the AI World Class Finance report<\/a> to learn how process-led AI transformation is creating a growing performance gap in finance and where organizations can capture the greatest value.<\/p>\n About The Hackett Group<\/b>\u00ae<\/b><\/sup><\/p>\n The Hackett Group, Inc. (NASDAQ: HCKT) is an ROI-led, AI enterprise transformation firm that helps clients enable AI world-class performance. Its experts and engineers leverage proprietary AI delivery platforms \u2013 Hackett AI XPLR\u2122<\/a>, ZBrain\u2122<\/a>, XT\u2122, AIXelerator\u2122 and AskHackett\u2122<\/a> \u2013 to accelerate and enhance the delivery of the company\u2019s solutions and services.<\/p>\n The AI platforms are powered by the company\u2019s domain-specific Hackett Solution Language Model informed by Hackett Process and Performance Intelligence \u2013 including Digital World Class\u00ae<\/sup> benchmark metrics, best-practice process flows and service delivery model solution frameworks, which accelerate and enhance the delivery of its services. The Hackett Group\u2019s proprietary insights are based on benchmarking results from leading global organizations, including 98% of Dow Jones Global Titans, 97% of the Dow Jones Industrials and 90% of the Fortune 100. Visit www.thehackettgroup.com<\/a><\/p>\n Trademarks<\/b><\/p>\n The Hackett Group\u00ae<\/sup>, quadrant logo, and Digital World Class\u00ae<\/sup> are the registered marks of The Hackett Group\u00ae<\/sup>.<\/p>\n Cautionary Statement Regarding \u201cForward-Looking\u201d Statements<\/b><\/p>\n This release contains \u201cforward-looking\u201d statements within the meaning of Section 27A of the Securities Act of 1933 as amended and Section 21E of the Securities Exchange Act of 1934, as amended. Statements including without limitation, words such as \u201cexpects,\u201d \u201canticipates,\u201d \u201cintends,\u201d \u201cplans,\u201d \u201cbelieves,\u201d \u201cseeks,\u201d \u201cestimates,\u201d or other similar phrases or variations of such words or similar expressions indicating, present or future anticipated or expected occurrences or outcomes are intended to identify such forward-looking statements. Forward-looking statements are not statements of historical fact and involve known and unknown risks, uncertainties and other factors that may cause the Company\u2019s actual results, performance or achievements to be materially different from the results, performance or achievements expressed or implied by the forward-looking statements. Factors that may impact such forward-looking statements include without limitation, the ability of The Hackett Group\u00ae<\/sup> to effectively market its digital transformation services, our ability to transition our capabilities to support generative artificial intelligence (AI)-related consulting services and solutions and other consulting services, our ability to effectively integrate acquisitions into our operations, our ability to manage joint ventures and successfully cooperate with our joint venture partners, competition from other consulting and technology companies that may have or develop in the future, similar offerings, the commercial viability of The Hackett Group\u00ae<\/sup> and its services as well as other risk detailed in The Hackett Group\u2019s reports filed with the United States Securities and Exchange Commission. The Hackett Group\u00ae <\/sup>does not undertake any duty to update this release or any forward-looking statements contained herein.<\/p>\n View source version on businesswire.com: <\/span>https:\/\/www.businesswire.com\/news\/home\/20260715133771\/en\/<\/a><\/span><\/p>\n![\"Order-to-cash](\"https:\/\/mms.businesswire.com\/media\/20260715133771\/en\/2852010\/4\/hackett-ai-world-class-finance-impact-img-2607.jpg\")
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