{"id":195786,"date":"2024-05-01T08:00:11","date_gmt":"2024-05-01T12:00:11","guid":{"rendered":"https:\/\/fiixdev.wpengine.com\/?p=195786"},"modified":"2026-05-05T14:57:41","modified_gmt":"2026-05-05T18:57:41","slug":"5-benefits-ai-maintenance","status":"publish","type":"post","link":"https:\/\/fiixsoftware.com\/blog\/5-benefits-ai-maintenance\/","title":{"rendered":"5 Ways AI Makes Maintenance Better for Everyone"},"content":{"rendered":"<p>According to Rockwell Automation\u2019s 9th annual <a href=\"https:\/\/resources.fiixsoftware.com\/ebook-1\/stateofsmartmanufacturing\" class=\"external-URL\" target=\"_blank\" rel=\"noopener\">State of Smart Manufacturing Report<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, 2024 is set to see a notable surge in the adoption of AI tools\u2014but what impact, if any, will they have on maintenance teams? And could these tools perhaps be the key to better maintenance in 2024?<\/p>\n<p>While AI technology is still evolving, a surprising 83% of respondents anticipate using GenAI this year, propelling it to #1 on the list of 2024&#8217;s top technological investments. So as AI takes the manufacturing world by storm, let\u2019s explore five ways the industry\u2019s biggest challenges\u2014and newest AI solutions\u2014are set change the face of maintenance for the better.<\/p>\n<div class=\"cmms-new\">\n<div class=\"cta_4 cta\">\n<figure class=\"ebook\"><img decoding=\"async\" src=\"\/wp-content\/uploads\/2024\/05\/SOSM_eBook-CTA.png\" alt=\"State of smart manufacturing book\" \/><\/figure>\n<div class=\"flex\">\n<div>\n<p><strong>Learn more in the 2024 State of Smart Manufacturing Report<\/strong><\/p>\n<p><a href=\"https:\/\/resources.fiixsoftware.com\/ebook-1\/stateofsmartmanufacturing\" target=\"_blank\" rel=\"noopener\">Download <i class=\"far fa-arrow-right\" aria-hidden=\"true\"><\/i><span class=\"sr-only\">(opens in new tab)<\/span><\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2>The State of Smart Manufacturing<\/h2>\n<p>Surveying this year\u2019s State of Smart Manufacturing Report, it\u2019s hard to deny that despite the many challenges facing manufactures, there\u2019s a certain optimism that shines through. Faced with economic headwinds, labor shortages, skills gaps, and cybersecurity concerns, advanced technologies like AI are giving leading manufacturers hope. In fact, GenAI ranks #1 for investment dollars and #2 for ROI in 2024, just trailing Cloud\/SaaS platforms. That\u2019s an interesting turn of events, because it wasn\u2019t so long ago that most players in the space were skeptical, even a bit afraid, of AI.<\/p>\n<p>\u201cOver the past number of years,\u201d says long-time Fiix veteran Sandy D\u2019Souza, \u201cit seems like there\u2019s been an element of distrust around AI and an element of the unknown.\u201d<\/p>\n<div class=\"image-flex\">\n<figure><img decoding=\"async\" src=\"\/wp-content\/uploads\/2024\/04\/SoSM-cap-1.png\" alt=\"State of smart manufacturing Gen-AI recap\" \/><\/figure>\n<p>But faced with new challenges, the conversation is shifting. Now, Sandy says, instead of focusing directly on the technology, people are asking, \u201cHow is AI technology ultimately going to transform and improve and make the life of the human beings who are actually working on the plant floor better?\u201d Naturally, this got us wondering how AI technology can ultimately benefit maintenance teams.<\/p>\n<\/div>\n<blockquote class=\"section\"><p>People are asking, \u2018How is AI technology ultimately going to transform and improve and make the life of the human beings who are actually working on the plant floor better?\u2019<\/p><\/blockquote>\n<div class=\"cmms-new\">\n<div class=\"cta_4 cta\">\n<figure class=\"ebook\"><img decoding=\"async\" src=\"\/wp-content\/uploads\/2024\/05\/SOSM_eBook-CTA.png\" alt=\"State of smart manufacturing book\" \/><\/figure>\n<div class=\"flex\">\n<div>\n<p><strong>Get your free copy of the 2024 SoSM Report<\/strong><\/p>\n<p><a href=\"https:\/\/resources.fiixsoftware.com\/ebook-1\/stateofsmartmanufacturing\" target=\"_blank\" rel=\"noopener\">Download <i class=\"far fa-arrow-right\" aria-hidden=\"true\"><\/i><span class=\"sr-only\">(opens in new tab)<\/span><\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2>5 Ways AI helps maintenance teams<\/h2>\n<p>Inspired by this year\u2019s report, we\u2019ve identified five benefits of AI for maintenance that we think really rise to the top:<\/p>\n<h3 class=\"nobold\">1. Finding <strong>anomalies<\/strong> in a sea of maintenance data<\/h3>\n<p>As today\u2019s manufacturing operations grow in complexity, the amount of data generated daily grows to a scale simply unmanageable by humans alone. AI really shines in digesting huge quantities of maintenance data\u2014such as sensor data from a motor or temperature data from a PLC\u2014and identifying the anomalies that could indicate failure. The sooner anomalies can be detected, the sooner they can be resolved through preventive maintenance, averting asset failure and unplanned downtime.<\/p>\n<h3 class=\"nobold\">2. Increasing <strong>efficiency<\/strong> through automation<\/h3>\n<p>Much of the work that maintenance technicians perform on a daily basis is extremely valuable. Other work, not so much. Creating work orders, analyzing data, generating reports; all these tasks can now be done by AI tools, freeing up valuable technician time to focus on the purely value-adding activities and making the most of your scarce labor resources. Speaking of which&#8230;.<\/p>\n<h3 class=\"nobold\">3. Filling labour <strong>shortages<\/strong> and knowledge gaps<\/h3>\n<p>With the recent rise of accessible prescriptive maintenance tools like <a href=\"\/arp\/\">Fiix Prescriptive Maintenance<\/a>, generative AI can now be trained on asset and maintenance data to produce detailed, complete, and accurate work orders. Not only does this save time, easing the pressures resulting from a shorthanded labor force, but it can go a very long way towards filling in the knowledge gaps left by attrition and a rapidly changing technological landscape. Simply put, we\u2019re at a point where AI-powered tools can increasingly complement humans in many of your daily maintenance tasks, serving as an expert co-pilot for your team.<\/p>\n<blockquote class=\"section\"><p>Generative artificial intelligence (GenAI) rocketed up the technology priority list over the last twelve months, creating fierce demand for industrial applications embedded with this transformative technology<br \/>\n<span style=\"font-size: 16px; line-height: 3; font-weight: 600!important;\">\u2013 SoSM, pg. 4<\/span><\/p><\/blockquote>\n<h3 class=\"nobold\">4. Improving data <strong>integrity<\/strong><\/h3>\n<p>Like any human activity, manually gathering maintenance data and collating it into reports carries with it the real risk of human error. That also means the risk of compromised decisions based on bad data. And at its worst, these errors can lead to the stockouts and miscommunications that bring production to a grinding halt. To ensure your data is always of the highest integrity, consider using an AI-powered analytics tool to automatically collect, analyze, and action your data. Plus, it\u2019s a lot faster to use AI than assembling these reports by hand.<\/p>\n<h3 class=\"nobold\">5. Tracking <strong>progress<\/strong> on operational goals<\/h3>\n<p>As the saying goes: You can\u2019t improve what you don\u2019t measure. Fortunately, the AI built into many modern solutions like Fiix CMMS is always running, collecting and analyzing your maintenance data. With each closed work order, your team is adding to the wealth of intelligence that AI analytics tools can use to generate insights on important metrics like OEE and other KPIs. And this in turn means solid data and which to make the decisions needed to drive your maintenance program forward.<\/p>\n<h2>Turning AI Inspiration into AI Action<\/h2>\n<p>These are all great ideas, of course, but they don\u2019t mean much without effective implementation. And that means contending with <a href=\"\/blog\/podcast-scott-deckers-on-change-management\/\">change management<\/a>. As Sandy says, and many maintenance teams know too well, \u201cit&#8217;s really hard to orchestrate the change inside an organization so you can ultimately adopt the new technology.\u201d<\/p>\n<p>When asked how teams can truly make change stick, Sandy suggested that teams reframe the motivation behind adopting new technologies. \u201cWhere I&#8217;ve seen successful change management occur,\u201d he says, \u201creally boils down to the business case behind \u2018how is this technology ultimately going to transform and improve and make the life of the human beings who are actually working on the plant floor better?\u2019\u201d<\/p>\n<p>Not only does this put a justified focus on the human impact of new technologies, but Sandy believes that \u201cwhen framed up in that context, it tends to become a lot easier to get buy-in across the organization and certainly a lot easier to get a deployment off the ground.\u201d<\/p>\n<h2>How Fiix is Supporting Maintenance with AI<\/h2>\n<p>For maintenance teams just coming around to the idea of AI, figuring out where to start can really be bewildering. Fortunately, it\u2019s never easier to experiment with AI and the many ways it can help you harness the power of your data.<\/p>\n<p>Fiix CMMS already makes use of AI as part of its <a href=\"\/foresight\/\">Fiix Foresight<\/a> analytics tool, analyzing your maintenance data to surface insights on work orders, assets, parts inventory, and more. <\/p>\n<p>With the emergence of AI and especially GenAI technologies, strategies like prescriptive maintenance have suddenly become highly accessible to maintenance teams\u2014and highly effective. &#8220;Rather than having to rely on somebody coming through with an instruction manual and asset manual, et cetera, or going on the Internet to find that information, what if you had a tool that could automatically mine some of that information?\u201d Sandy asks. With this new technology, Sandy says, Fiix will \u201cmine historical data and present it to you so that now you can focus on the task at hand rather than doing some of that research and doing some of that grunt work.\u201d Whereas it used to take a Fortune 500-size budget and a team of data scientists, this new generation of AI-powered maintenance solutions can be implemented in just two weeks. Plus, they\u2019re budget friendly.<\/p>\n<p>&#8220;As we think about the benefit of prescriptive maintenance,\u201d Sandy says, \u201cit really is that copilot that works alongside the people on the factory floor who are doing the maintenance and acting as a tool, as an aide to really help everybody get their job done better.\u201d Among AI\u2019s many capabilities, prescriptive maintenance might be the single most transformative for maintenance teams in the coming years. And to think this was simply out of reach for most teams before the advent of GenAI!<\/p>\n<p>Much like this year\u2019s State of Smart Manufacturing Report, Sandy ends on a hopeful and human note: \u201cUltimately, I think where we see success is where clients have successfully articulated the human benefit of these technologies across the organization, and thus enabled the change to take effect and achieve a successful deployment and successful results.\u201d<\/p>\n<div class=\"cmms-new\">\n<div class=\"cta_4 cta\">\n<figure class=\"ebook\"><img decoding=\"async\" src=\"\/wp-content\/uploads\/2024\/05\/SOSM_eBook-CTA.png\" alt=\"State of smart manufacturing book\" \/><\/figure>\n<div class=\"flex\">\n<div>\n<p><strong>Download the full SoSM report now to find out what\u2019s working for leading manufacturers. Plus, get a 10-step checklist for technology adoption success.<\/strong><\/p>\n<p><a href=\"https:\/\/resources.fiixsoftware.com\/ebook-1\/stateofsmartmanufacturing\" target=\"_blank\" rel=\"noopener\">Download <i class=\"far fa-arrow-right\" aria-hidden=\"true\"><\/i><span class=\"sr-only\">(opens in new tab)<\/span><\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>According to Rockwell Automation\u2019s 9th annual State of Smart Manufacturing Report (opens in new tab), 2024 is set to see a notable surge in the adoption of AI tools\u2014but what impact, if any, will they have on maintenance teams? And could these tools perhaps be the key to better maintenance in 2024? While AI technology is still evolving, a surprising 83% of respondents anticipate using GenAI this year, propelling it to #1 on the list of 2024&#8217;s top technological investments. So as AI takes the manufacturing world by storm, let\u2019s explore five ways the industry\u2019s biggest challenges\u2014and newest AI solutions\u2014are set change the face of maintenance for the better. Learn more in the 2024 State of Smart Manufacturing Report Download (opens in new tab) The State of Smart Manufacturing Surveying this year\u2019s State of Smart Manufacturing Report, it\u2019s hard to deny that despite the many challenges facing manufactures, there\u2019s a certain optimism that shines through. Faced with economic headwinds, labor shortages, skills gaps, and cybersecurity concerns, advanced technologies like AI are giving leading manufacturers hope. In fact, GenAI ranks #1 for investment dollars and #2 for ROI in 2024, just trailing Cloud\/SaaS platforms. That\u2019s an interesting turn of events, because [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":195790,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"coauthors":[374,373],"class_list":["post-195786","post","type-post","status-publish","format-standard","hentry","category-blog"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v27.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>5 Ways AI Makes Maintenance Better for Everyone | Fiix<\/title>\n<meta name=\"description\" content=\"Discover why GenAI is 2024&#039;s hottest maintenance trend with Rockwell Automation\u2019s State of Smart Manufacturing Report.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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is a former hardware engineer and product tester turned content writer. After spending five years in the engineering labs at Rockwell Canada, he made the switch from numbers to words and hasn\u2019t looked back. 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