IFS has introduced its latest Cloud 25R2 release, embedding agentic AI as autonomous digital workers to boost operational productivity and address growing labour challenges in industrial sectors.
IFS, a notable provider of Industrial AI software, has unveiled its latest release, IFS Cloud 25R2, aimed at embedding advanced AI to enhance operational productivity in industrial sectors. According to the company announcement, the new version introduces agentic AI capabilities, notably through IFS Loops Digital Workers, autonomous digital agents designed to think, decide, and act across systems, functioning as collaborative members within the industrial workforce.
The company framed this development as a direct response to critical challenges faced by industrial sectors, including acute labour shortages and a looming skills gap, with projections that half of the current workforce may retire within five years. By deploying Industrial AI at scale, IFS claims that these Digital Workers can significantly multiply human capacity, effectively expanding workforce capabilities rather than replacing human employees.
IFS highlighted the issue of “invisible work” as a productivity drain in industries, referring to repetitive tasks that consume a substantial proportion of field and operational staff time but add limited strategic value. The new Digital Workers aim to automate these workflows, such as order processing, inventory management, and maintenance scheduling, thereby freeing experts to focus on high-value decision-making. These workers are presented as advanced software agents with embedded domain knowledge, capable of autonomous, governed actions with human oversight for exceptions, and full traceability to meet stringent industrial governance requirements.
The initial suite of Digital Workers includes roles such as Customer and Supplier Order Managers, Inventory and Material Replenishers, and Operations Analysts. These are designed to streamline order fulfilment, reduce errors and delays, optimise stock levels, and provide actionable, consolidated operational insights.
IFS also integrates AI-driven enhancements across Enterprise Resource Planning (ERP), Enterprise Asset Management (EAM), Field Service Management (FSM), and aviation maintenance. Features include AI-generated job summaries to improve field technician preparation, AI-based maintenance task optimisation, multi-scenario demand planning, intelligent pricing, and faster, more accurate aircraft part selection.
Christian Pedersen, IFS’s Chief Innovation Officer, emphasised that generic, consumer-grade AI tools are insufficient for industrial environments, and the strength of their solution lies in embedding AI deeply into complex industrial processes to work autonomously and profitably. This sentiment underscores a broader industry recognition of the distinctive and demanding requirements of industrial AI compared to more general-purpose AI applications.
Speaking from an end-user perspective, a client CIO indicated notable benefits, estimating significant return on investment and thousands of hours saved for field technicians, illustrating the potential labour and cost efficiencies achievable.
Despite these advancements, wider industry commentary and analysis indicate that successful AI integration in industrial settings remains complex. While IFS’s approach with Digital Workers appears designed to overcome limitations of traditional robotic process automation (RPA) and generic AI, critics caution that embedding AI at scale demands careful governance, cultural adaptation, and integration with legacy systems, which may slow adoption or dilute projected gains. Moreover, while promising profitability and sustainability alignment via AI-powered emissions tracking and KPI generation, balancing operational efficiency with environmental goals continues to challenge many industrial operations.
The introduction of IFS Loops Digital Workers aligns with increasing market trends toward ‘industrial digital colleagues’, AI entities specifically built to handle operational tasks within manufacturing, energy, utilities, and related sectors. These workers operate within secure, governed environments and integrate natively with enterprise systems, distinguishing them from simpler automation tools or chatbots.
In summary, IFS Cloud 25R2 represents a significant step toward operationalising Industrial AI with a suite of digital agents designed to tackle labour shortages, improve workflow automation, and embed AI-driven decision support. However, its ultimate impact will depend on how broadly and seamlessly these innovations are adopted across complex industrial ecosystems facing evolving workforce and sustainability pressures. The new release became available from late November 2025.
- https://www.prnewswire.com/news-releases/ifs-cloud-25r2-unlocking-10x-industrial-workforce-capacity-with-digital-workers-and-applied-industrial-ai-302627499.html – Original press release. View link for all data
- https://www.ifs.com/en/assets/cloud/what-new-in-ifs-cloud-25r2 – IFS Cloud 25R2 introduces IFS Loops Digital Workers, AI-powered agents that integrate directly into workflows, enhancing productivity and operational efficiency. This release focuses on driving transformative growth, accelerating autonomous operations, and embedding sustainable practices within business models. The Digital Workers are designed to operate as virtual colleagues, streamlining complex processes and reducing manual intervention, thereby optimising resources and improving efficiency with minimal human input. Additionally, the release aims to realise profitable sustainability by integrating AI-driven insights into every operational decision, strengthening compliance and sustainability reporting while proving that profitability and sustainability advance together.
- https://www.ifs.com/ifs-cloud/ifs-cloud-release – The IFS Cloud Release November 2025 highlights the integration of IFS Loops Digital Workers, AI-powered agents embedded directly into workflows to transform productivity. The release focuses on helping businesses drive transformative growth by adopting disruptive business models, accelerate operations autonomously to lower costs and optimise resources, and realise profitable sustainability by embedding sustainable practices into business models. The Digital Workers are designed to operate as virtual colleagues, streamlining complex processes and reducing manual intervention, thereby optimising resources and improving efficiency with minimal human input.
- https://www.addovation.com/blog/ifs-loops-your-new-digital-colleague/ – IFS Loops introduces 10 Digital Workers equipped with 50 business-ready skills, with plans to scale to over 100 digital workers by the end of 2025. These AI-driven digital colleagues are built for real operational tasks across manufacturing, energy, utilities, construction, telecoms, and service industries. Unlike chatbots or simple macros, IFS Loops Digital Workers are designed to streamline everyday processes, enhancing operational efficiency and productivity. They operate natively within IFS Cloud or alongside legacy systems, providing immediate ROI and operational impact by managing complex workflows and reducing manual tasks.
- https://blog.ifs.com/blog-rpa-vs-digital-workers-ifs/ – IFS Loops digital workers are designed for real-world industrial operations, operating natively within IFS Cloud or without. Powered by a secure, governed platform, they tap into 65+ connectors to automate supplier orders, dispatch, inventory, and execute customer order management continuously and reliably. With built-in governance, audit trails, and guardrails, digital workers augment human teams without replacing them, allowing staff to focus on judgment-driven decisions while operational workflows run flawlessly. This approach addresses the limitations of traditional automation, RPA, and Generative AI, offering a more effective solution for industrial complexity.
- https://www.ifs.com/ai/ – Industrial AI, as provided by IFS.ai, delivers actionable insights to reduce risk, automate production, and drive innovation. It aims to achieve transformative change, boost profitability, and drive sustainability by cutting carbon emissions and enabling topline growth. IFS.ai uses machine learning and historical trends to deliver tailored insights, driving innovation and productivity. It activates data-driven decision-making by breaking down data siloes across business systems, IoT devices, and external sources to create a unified view of operations. Trusted advanced analytics and machine learning transform raw data into actionable insights, delivering real-time recommendations and predictive analyses.
- https://www.ifs.com/en/assets/cloud/what-new-in-ifs-cloud-25r2 – IFS Cloud 25R2 introduces IFS Loops Digital Workers, AI-powered agents that integrate directly into workflows, enhancing productivity and operational efficiency. This release focuses on driving transformative growth, accelerating autonomous operations, and embedding sustainable practices within business models. The Digital Workers are designed to operate as virtual colleagues, streamlining complex processes and reducing manual intervention, thereby optimising resources and improving efficiency with minimal human input. Additionally, the release aims to realise profitable sustainability by integrating AI-driven insights into every operational decision, strengthening compliance and sustainability reporting while proving that profitability and sustainability advance together.
Noah Fact Check Pro
The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
10
Notes:
The narrative is based on a press release dated November 27, 2025, announcing the release of IFS Cloud 25R2. This is the earliest known publication date for this information, indicating high freshness. The press release is hosted on PR Newswire, a reputable distribution platform. No evidence of recycled or republished content across low-quality sites was found. The report includes updated data and introduces new features, justifying a higher freshness score.
Quotes check
Score:
10
Notes:
The report includes direct quotes from Christian Pedersen, IFS’s Chief Innovation Officer, and Pedro Buhigas, CIO at Kodiak Gas Services. A search for these quotes reveals no earlier usage, suggesting they are original to this release. No variations in wording were found, indicating consistency in the quotes.
Source reliability
Score:
10
Notes:
The narrative originates from IFS, a leading provider of Industrial AI software, and is disseminated through PR Newswire, a reputable press release distribution service. This indicates a high level of reliability and credibility.
Plausability check
Score:
10
Notes:
The claims about IFS Cloud 25R2 introducing agentic AI capabilities and Digital Workers are consistent with IFS’s previous announcements and product developments. The report aligns with industry trends towards integrating AI into industrial operations. The language and tone are professional and appropriate for the context, with no inconsistencies or suspicious elements identified.
Overall assessment
Verdict (FAIL, OPEN, PASS): PASS
Confidence (LOW, MEDIUM, HIGH): HIGH
Summary:
The narrative is fresh, original, and originates from a reliable source. The claims are plausible and consistent with IFS’s known product developments and industry trends. No signs of disinformation or credibility issues were found.
