IFS<\/a> has launched IFS Intelligence, a new Industrial AI product that connects data across industrial assets, systems and processes to help organizations turn operational insights into action. The platform is designed to identify opportunities for new revenue streams and improve operational efficiency.<\/p>\n\n\n\nIFS Intelligence works directly within the systems that support physical operations. It draws on existing operational knowledge, including assets, work orders, schedules and historical records. By analyzing live data from IFS and third-party systems, it helps organizations understand operational conditions and take action within business-defined rules.<\/p>\n\n\n\n
Industrial organizations often face operational losses caused by unplanned downtime, missed first-time fixes and material waste. These challenges can be linked to disconnected systems, complex user interfaces, lengthy implementations and manual workarounds.<\/p>\n\n\n\n
Although the information needed to address these issues may already exist, accessing it can require employees to navigate multiple systems and consult different specialists. IFS Intelligence aims to close this gap by making operational data easier to access and use.<\/p>\n\n\n\n
The platform brings Industrial AI to frontline employees, plant floor teams, offshore workers and office staff through a conversational interface. Users can ask questions in plain language, analyze live operational data and receive explanations and recommendations, with the supporting sources displayed. They can then approve and execute proposed actions under the controls of IFS’s Industrial AI Harness.<\/p>\n\n\n\n
One example involves a production manager who discovers that a large order due the following quarter is at risk. Investigating the issue requires information about inventory, production capacity, supplier commitments, logistics constraints and the financial impact of a potential delay.<\/p>\n\n\n\n
With IFS Intelligence, the manager can ask a single question to identify the risk, examine its likely causes and receive recommendations for the next steps. The manager can then approve the proposed action. This approach brings multiple data sources and operational processes into a single governed workflow.<\/p>\n\n\n\n
Curtis Taylor, Chief Business Operations Officer at Sims Crane & Equipment, said the product changed his approach to making operational data accessible to employees.<\/p>\n\n\n\n
“I was literally building skills and working out how to make our operational data actually accessible to our teams, piece by piece, when I saw IFS Intelligence. That changed the conversation entirely,” Taylor said.<\/p>\n\n\n\n
He added that employees can access data from existing systems and ask questions about the company’s fleet, including which cranes would best meet specific customer requirements and how to maximize fleet efficiency.<\/p>\n\n\n\n
IFS Intelligence provides three main ways to apply Industrial AI across operational workflows.<\/p>\n\n\n\n
The first, Cowork, allows employees to query live operational data, investigate issues and prepare actions for approval. Users can turn answers into Lenses, which are live views that update as operational conditions change. They can also save successful workflows as Skills for others to reuse. Cowork can connect with external systems, including Microsoft 365, through the Model Context Protocol (MCP).<\/p>\n\n\n\n
The second capability, Loops, allows organizations to delegate defined workflows to digital workers that operate in the background. These digital workers can escalate tasks when human judgment or approval is required. Teams can build their own digital workers using Studio, helping them expand operational capacity without relying solely on additional hiring.<\/p>\n\n\n\n
The third capability, Runway, uses plain-language requirements to support the migration, configuration and extension of IFS software. It is designed to reduce implementation effort and associated risks.<\/p>\n\n\n\n
These capabilities operate under the IFS Industrial AI Harness, which applies the context, permissions and controls required for industrial operations.<\/p>\n\n\n\n
Mark Moffat, CEO of IFS, said many industrial organizations operate at around 60% of their potential. He attributed the remaining gap to expertise held by employees and information distributed across business systems.<\/p>\n\n\n\n
“IFS Intelligence brings all of it together and puts it to work,” Moffat said. He added that employees can ask questions, take action or delegate tasks to digital workers within the rules, permissions and approval processes established by their organizations.<\/p>\n\n\n\n
Nick Patience, Vice President and Practice Lead AI Group at The Futurum Group, said industrial frontline teams often generate insights faster than enterprise systems can act on them.<\/p>\n\n\n\n
He noted that industrial AI solutions need to account for sector-specific workflows and operational constraints. Recommendations and actions must be accurate, executable and trusted to deliver value in enterprise environments.<\/p>\n\n\n\n
IFS Intelligence is available now through a universal enterprise-wide license. The package covers the product’s capabilities across the in-scope IFS software licensed by each customer, without feature restrictions or tiered access. Customers also receive an allocation of AI Executions, subject to a fair usage cap rather than a credit-based model.<\/p>\n\n\n\n
More information about IFS Intelligence is available on the company’s official website<\/a>.<\/p>\n\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
IFS has launched IFS Intelligence, a new Industrial AI product […]<\/p>\n","protected":false},"author":58,"featured_media":107896,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[9716,9661],"tags":[2725],"contributor":[9732],"class_list":["post-107893","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-global-brands","category-tech-value-chain","tag-artificial-intelligence","contributor-news-desk"],"featured_image_src":"https:\/\/techxmedia.com\/en\/wp-content\/uploads\/2026\/10\/Mark-Moffat-IFS.jpg.jpeg","author_info":{"display_name":"Lubna","author_link":"https:\/\/techxmedia.com\/en\/author\/lubna\/"},"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t