ERP

Data migration is always a moment of truth in any ERP implementation. The quality of migration determines not only the accuracy of information in the new system but, above all, a smooth go-live. In projects overloaded with manual tasks, the risk of errors and delays increases with every migration cycle. That’s why companies are increasingly focusing on orchestration and automation – a strategy that streamlines the process and elevates it to a much higher level of efficiency. At 7F Technology Partners, we see how clients who have organized and automated their migration path to D365 F&O gain predictability and full control over their data. This is an investment that pays off not only during the initial launch but also in subsequent iterations and system stabilization. Order in the process Orchestrating data migration in D365 F&O means centrally managing the entire sequence of activities – from extracting information from the legacy system, through transformation, to import. Maintaining the correct sequence is critical, especially for dependent entities. A typical example is importing customers only after countries and addresses have been loaded. Dynamics 365 provides native tools for this: Data Management Framework, Data Projects, and Data Jobs. These tools not only help organize the process but also enable building a predictable and consistent migration path that can be reliably reproduced across different environments. Everyday automation The next step is automation, which frees project teams from repetitive tasks. By leveraging Azure DevOps, Power Automate, or PowerShell scripts, it’s possible to run complete migration cycles in the background, on a schedule – even overnight. After each run, teams receive reports and alerts about any errors, allowing them to focus on analyzing results rather than manually triggering imports. This approach accelerates every subsequent project sprint and increases the overall stability of the process. SharePoint as a flexible data source More and more organizations are using shared repositories like SharePoint to store migration files. Thanks to integration with Power Automate, data can be retrieved and imported into D365 F&O without manual file transfers. This gives companies full version control, easier management of updates, and a transparent data approval process. In practice, this leads to greater consistency between teams and better control over migration progress – especially in distributed environments. Business impact Orchestration and automation of migration translate into tangible business benefits. ERP implementation time is shortened because the process can be repeated more frequently and quickly. The number of errors from manual work decreases. Every stage is transparent and documented, making audits easier and reducing the risk of bottlenecks. Across the entire project, this approach means better data quality, greater stability, and less strain on key teams. The standard for modern implementations For organizations investing in digital transformation, orchestrating and automating migration to D365 F&O is becoming the natural standard. It enables implementations to be repeatable, predictable, and aligned with best practices. At 7F Technology Partners, we work with clients in exactly this way – combining orchestration, automation, and integration with SharePoint and Power Automate. As a result, the migration process becomes not only faster but, above all, more stable and better controlled. This is the foundation on which further digitalization of operations can be safely built.

Implementing an ERP system is always a significant challenge. In Dynamics 365 Finance & Operations projects, success depends not only on technology, but also on methodology, teamwork, and the conscious use of project tools. These tools help organize activities, accelerate key phases, and minimize risks that naturally arise during complex transformations. From the perspective of 7F Technology Partners, we see that a well-planned project helps avoid unnecessary delays, configuration errors, and adoption issues. It is therefore worth ensuring a solid foundation before the implementation enters its operational phase. LCS as the project hub Lifecycle Services (LCS) plays a crucial role in D365 F&O projects. It is a platform that supports the entire implementation lifecycle: from environment management and code migration planning to performance analysis and monitoring compliance with Microsoft best practices. As a result, the team’s work proceeds in an organized and predictable manner. BPM and the quality of analysis Business Process Modeler (BPM) helps visualize business processes and link them to D365 F&O functionalities. During the analysis and testing phases, this tool is particularly important, as it ensures that real processes are mapped – not just theoretical assumptions. A well-prepared process map makes subsequent testing easier and shortens decision-making time. DevOps, DMF, and RSAT in daily operations In the operational part of the project, Azure DevOps comes to the forefront, streamlining task management, backlog, and version control. Simultaneously, the Data Management Framework (DMF) (we wrote about it here) is responsible for data migration and synchronization between environments, while RSAT automates regression testing, reducing the cost of maintaining solution quality. This toolkit increases project control and improves system stability. Automating data migration and transformation Power Automate accelerates data loading processes and supports synchronization between D365 F&O and other systems. Meanwhile, Power Query and VBA macros streamline data transformation before import, making file preparation faster and more repeatable. In projects where data is one of the biggest challenges, these tools significantly ease the team’s workload. Best practices that make a difference Effective ERP implementation is largely a matter of organization and communication. Here are a few principles that work well in D365 F&O projects: Define a clear structure of roles and responsibilities – both on the client and implementation partner sides. Favor an iterative work model – short implementation cycles (agile/hybrid agile) allow for faster verification of results and quicker response to changes. Document and validate business processes – use BPM and test scenarios to ensure the system reflects the organization’s real needs. Manage data and environment versions – an organized approach to migration and testing minimizes the risk of data loss. Don’t skip training and UAT phases – involving end users in testing and acceptance is key to a successful implementation. The project as an investment Implementing D365 F&O is not just about configuring a new system. It is a broad organizational transformation whose effectiveness depends on the conscious use of tools and consistent adherence to best practices. A well-managed project provides the company with transparency, risk control, and a foundation for further digitalization. Approached in this way, it becomes an investment, not a cost.

In the world of modern ERP systems, data forms the foundation of business decision-making. The quality and consistency of data determine whether financial, logistics, or sales processes will run smoothly and predictably. In Dynamics 365 Finance & Operations, the central tool supporting this area is the Data Management Framework (DMF). From the perspective of 7F Technology Partners, DMF is one of those elements that truly demonstrates how working with data can streamline the daily operations of an organization. However, to fully leverage its potential, it’s important to understand how it works on an operational level and which habits most effectively boost its performance. Entities as a Common Data Language DMF is based on Data Entities, which represent specific business objects such as customers, vendors, products, or orders. This means users don’t need to know the database structure – they work with concepts familiar from business processes. The system provides hundreds of ready-to-use entities, but also allows you to create your own, offering great flexibility and enabling you to tailor the tool to your company’s needs. In practice, this means that even complex data models can be managed in a unified and repeatable way. Data Projects in everyday use At the heart of working with DMF are Data Projects, which define the process of importing or exporting data. Within a project, you specify which entity you’re using, the source file, and the format – Excel, CSV, XML, or ZIP. The import process follows a consistent pattern: select the entity, map columns, validate, process, and analyze results. Export works similarly, except you indicate which data to extract and the destination, such as Azure Blob Storage, SharePoint, or a downloadable file. This mechanism enables the creation of repeatable, predictable processes and relieves teams that rely on up-to-date operational data. Good data preparation Most challenges during import stem from the quality of input data. Incorrect formats, missing values, or business inconsistencies can block the entire process. That’s why a key aspect of working with DMF is proper file preparation – with the right structures, units, and required fields. In practice, this means not only improving files but also building awareness among teams responsible for data that its quality directly impacts the success of operations in the system. Templates that organize work Data Templates are a tool that significantly streamlines migrations and repeat imports. Templates group entities into logical sets – for example, for finance or warehouse areas – making it easier to maintain consistency between project stages and across environments. It’s a simple way to standardize data work, especially appreciated by teams involved in rollouts or system maintenance. Control and error handling DMF provides mechanisms for monitoring task statuses and logs that allow quick identification of errors. Information on the number of processed records, execution time, and reasons for failures gives a transparent view of what happened during import or export. In practice, this tool not only helps detect errors but also improves the entire process – especially when operations are frequent and involve large data volumes. Automation means fewer manual operations Recurring Data Jobs allow you to schedule cyclic tasks, such as daily exports to external systems or regular updates of reference data. Automation reduces manual operations and the risk of mistakes, while ensuring data remains current across the application ecosystem. In conclusion The Data Management Framework is not just a technical tool – it’s a key element of data management in D365 F&O. It enables repeatable migrations, supports integrations, and improves data quality within the organization. A well-configured DMF becomes a solid foundation for further digital transformation and efficient use of data in daily business operations. Now is a good time to consider how organized and predictable your data processes are – because that’s where the real effectiveness of DMF begins.

When I sat down with Matt Kempson, COO AI at IFS, during IFS Industrial AI X Unleashed, I immediately felt that I was about to hear something more than corporate slogans about artificial intelligence. Matt talks about AI in a deeply practical, almost operational way – always from the perspective of real problems that can be solved here and now. And indeed, this conversation turned out to be one of the most concrete I have conducted in recent years. Industrial X Unleashed – where AI met real industry Industrial X Unleashed was a one-day event held by IFS on November 13, bringing together industry leaders, customers, and experts working at the intersection of industrial operations and artificial intelligence. The conference did not focus on futuristic visions, but on practical applications of AI – the kind that are already transforming how manufacturing, service, energy, and logistics companies operate. Throughout this intensive day, IFS presented both its current AI strategy and concrete, fully functioning solutions used by customers today. Discussions focused on intelligent inventory management, digital workers supporting field technicians, supply chain automation, and tools that reduce diagnostic and repair times. It was also an excellent opportunity to talk about the challenges faced by companies in Poland and around the world – from the shortage of skilled engineers to pressure to reduce operational costs and the growing need to automate processes. It was in this context that my conversation with Matt Kempson, COO AI at IFS, took place. The biggest opportunity for AI in industry – where companies could gain the most today? When I opened the conversation by asking Matt about the biggest opportunity for AI across the industries IFS serves, I expected to hear about predictive maintenance, process automation, or intelligent planning. Instead, Matt began with a topic that is painfully down-to-earth – and financially enormous: inventory. And not “inventory” in the sense of having a slightly better-stocked warehouse, but in the sense of millions in frozen capital that companies often don’t even know about. Matt stated it clearly: Block Quote Listening to him, I immediately thought of many Polish companies investing in machines, automation, and ERP systems – while inventory quietly drains their cash flow in the background. Then, he took it further: Block Quote It was at this point that I fully understood what Matt meant when he described inventory as “the most underestimated domain” in industrial AI. Not advanced predictive models, not robotics – but real-time visibility, normalization, and understanding of whata company actually owns. Matt also emphasized a crucial point: inventory is the area where AI delivers the fastest ROI. Often from day one. And maybe, as Matt implicitly suggested, the perfect AI use case many companies are searching for… is already lying on a shelf in their warehouse. How companies accelerated AI adoption – what separated leaders from those stuck in pilots? My second question to Matt addressed a problem I see constantly in Poland: companies begin AI initiatives, run pilots… and stay stuck at that stage. Matt immediately acknowledged that this wasn’t just a local issue: Block Quote He explained that AI adoption always began with people – and that organizations could not bypass this phase: Block Quote He highlighted a step that most companies overlook: Block Quote Only then, Matt said, should companies move toward quick wins using ready-made solutions: Block Quote The most powerful statement came when he explained why companies get stuck: Block Quote Then came a warning every decision-maker should remember: Block Quote This part of the conversation showed me clearly that AI leaders weren’t distinguished by the tools they used – but by the pace and order in which they adopted them. What could IFS change in the coming year – the three AI developments Matt was most excited about When I asked Matt which upcoming AI innovations at IFS excited him the most,he didn’t hesitate: “Let me give you three.” IFS.AI Logistics – a true “game changer” for supply chain The first area was the upcoming relaunch of IFS.AI Logistics, enhanced by the acquisition of Seven Bridges. Block Quote Digital workers – more work done, less paperwork Second were the digital worker capabilities demonstrated during IFS Loops: Block Quote IFS Nexus Black – a true inventory revolution in just six weeks The final area was clearly the one closest to Matt’s heart: inventory. Block Quote And then he delivered the sentence that shows just how transformative AI has become: Block Quote At that moment, it became clear that we weren’t talking about the future – but about solutions ready to reshape operations right now. Why AI has become a strategic tool for industry – summary of my conversation with Matt Kempson As we wrapped up, I asked Matt about the broader meaning of AI for companies – beyond individual use cases. His answer captured perfectly the essence of our discussion. He stressed that companies often hunt for savings at the end of the year in the worst possible places – by cutting staff or squeezing suppliers. Meanwhile, the real opportunity lies elsewhere: Block Quote Then came the statement that stayed with me long after our conversation: Block Quote This made me realize that our discussion was not about the future – but about very real, very urgent decisions companies can make right now. About the money they lose every day by waiting. And about the competitive edge earned by those who don’t delay. That’s why this conversation with Matt was one of the most eye-opening and concrete discussions I’ve had this year.

Implementation of the Microsoft Dynamics 365 ERP system is a project that involves every department in the company and requires many months of intensive work. Sometimes it’s not immediately obvious that something is wrong. Below we present 9 signs that something may have gone off track and is worth fixing. What should you look at to assess what went wrong? Hypercare never cools down A long period of “firefighting” after go-live, a flood of recurring issues, lack of stability, and the feeling of being “stuck in tickets.” This is a classic sign that implementation errors are taking their toll after launch. Low adoption and workarounds outside the system Key steps are handled in Excel, “shortcuts,” or auxiliary systems, and decisions are not based on a single, centralized source of truth. Polish Localization isn’t complete Omitted legal and tax requirements (e.g., E-Invoicing, SAF-T, split payment, white list) lead to delayed go-live, document recording issues, and user resistance. Additional red flags include the lack of automatic NBP exchange rate handling with delay and taxpayer validation. Poor data migration and lack of validation Inconsistent master data, errors in the opening balance, and issues with settlements after data transfer – all result from insufficient migration testing and data quality checks. Testing features, not processes Testing is limited to individual screens instead of end-to-end scenarios, with no integration, regression, or performance tests; users are brought into UAT too late. Customizations instead of configuration A high number of code modifications, no extension guidelines, and no update maintenance plan – this is a recipe for a fragile system and costly upgrades. Disorganized architecture and integrations No approved application blueprint, unclear role of D365 in the ecosystem, inconsistent or duplicate integrations and data flows. Unclear roles, weak training, and change management Missing roles like Solution Architect, unclear division of responsibilities, and minimal training or instructions – users don’t “get” the solution even from the testing phase. Chaos in environments and licensing Poorly managed environments (Dev/Test/UAT/Prod), no refresh/sync procedures, plus suboptimal licenses and user roles – this signals high maintenance costs and team workflow bottlenecks.

On 13 November, in New York’s Tribeca district, at the Spring Studios venue, IFS hosted Industrial X Unleashed – a one-day event that set out to define a new standard for so-called Industrial AI, that is, artificial intelligence designed not for offices, but for factories, power grids, and critical infrastructure. For me, the trip was special for another reason as well. It was the first time that myERP.global appeared at such a large event abroad, and I was representing us in New York on my own. The very sight of Spring Studios filled with partners, customers, and IFS teams was truly impressive. The scale of the event, the polished visual design, and the very well thought-out agenda made it clear from the outset that this was not just another AI conference, but a showcase of real implementations and the direction in which industry is heading. On stage we saw representatives of Anthropic, Boston Dynamics, Microsoft, PwC, Siemens, as well as many customers from industries such as energy, manufacturing, aviation, and telecommunications. The organizer, IFS – a provider of Industrial AI-class software – promised not yet another AI show, but concrete, working implementations. From the perspective of someone who talks every day with companies implementing ERP systems and AI solutions, that was exactly what I wanted to see there. From hype to industrial reality The IFS Industrial X Unleashed conference opened with a keynote from Mark Moffat, CEO of IFS. He outlined a vision in which the real return on investment in AI is not created in presentations, but on production lines, in transmission networks, and out in the field. That is where around 70 percent of the global workforce is employed, not in office open spaces. Listening to this from the audience in New York, I felt it resonated strongly with what we hear from our partners and customers in Poland: AI only makes sense when it touches real processes, not just slides and prototypes. Image credit: IFS / IFS Industrial X Unleashed 2025 At the center of this vision is IFS.ai, a platform intended to act as an operating system for industry, bringing together people, digital agents, and robots in a single flow of data and decisions. In IFS’s own language, it is a journey from signal to action: data from sensors or cameras, analysis by AI agents, and then an immediate decision and work order for technicians, robots, or both at once. Looking at this from the perspective of the market we describe on myERP.global, it is clear that precisely this coherence between the IT layer, the OT layer, and the physical world will, in the coming years, distinguish the most advanced companies. Anthropic and Resolve: multimodal AI for people in the field One of the most talked-about announcements was the strategic partnership between IFS Nexus Black and Anthropic, the creator of the Claude models. The result of this partnership is Resolve, a new class of Industrial AI tool that goes directly into the hands of technicians and maintenance staff. Image credit: IFS / IFS Industrial X Unleashed 2025 From my point of view, this is a very important direction. In conversations with manufacturing and service companies, I often hear that the biggest challenge is no longer analytics itself, but delivering the right guidance at the right moment to the person who is physically at the machine or installation. And this is precisely where Resolve makes a difference. The tool can analyse many different types of data at once: video from a technician’s phone, audio recordings, temperature and pressure readings, or complex installation schematics. On this basis it predicts failures, recommends spare parts, optimises work schedules, and automatically documents completed tasks, including through speech recognition and transcription of voice reports. On stage, they showed, among others, the example of Scottish distillery William Grant & Sons, the producer of Grant’s whisky and Hendrick’s gin. Before Resolve was implemented, as many as around 38 percent of repairs were emergency in nature. Today, thanks to failure prediction and better planning, the plant has significantly reduced unplanned downtime, and the annual financial benefits are estimated at around 8.4 million pounds. Listening to this story, I thought that we would soon see similar case studies in the Polish market, especially among companies that are already investing in predictive maintenance. Kriti Sharma, head of Nexus Black, stressed from the stage that in industries where “sometimes a human life is at stake”, the priority must be not only the power of the model, but also the safety and responsibility of AI. This is exactly what Anthropic is expected to bring to the IFS ecosystem, alongside purely technological capabilities. The theme of responsible AI implementation ran throughout the event and, for me, was one of the most important signals for the market. Boston Dynamics: Spot the robot as an autonomous inspector Another pillar of IFS Industrial X Unleashed was physical AI – the combination of AI agents with robots. IFS announced a partnership with Boston Dynamics, the global leader in mobile robotics. Image credit: IFS / IFS Industrial X Unleashed 2025 This was the moment that personally impressed me the most. The live demo with the Spot robot showed very tangibly how far we have come from a world where industrial robotics are discussed only on slides. Spot, a four-legged platform capable of moving autonomously around facilities, was presented as an extension of the IFS.ai system. The robot can perform autonomous inspections: using thermal cameras it detects overheating equipment, listens for leaks, reads analogue gauges, checks indicator lights, and identifies spilled substances or voltage anomalies. The collected data is sent instantly to IFS.ai, where agentic AI analyses it, assesses the risk and, if necessary, automatically generates a service order or triggers preventive action. Sitting in the audience and watching the robot move freely across the stage, I had a very strong sense that this is no longer a vision of the future, but a real tool that we will soon see in power plants, refineries, and factories also in our part of the world. Image credit: IFS / IFS Industrial X Unleashed 2025 The joint solution from IFS and Boston Dynamics is primarily intended to improve safety by reducing human presence in hazardous zones, increase efficiency through faster decision-making, and boost the availability of critical assets through a predictive approach to failures. Target customers include, among others, the energy sector, mining, manufacturing plants, and operators of critical infrastructure. 1X Technologies humanoids: a new full-time employee on the shop floor While Spot showed how far mobile robotics is already able to take work off people’s shoulders, the partnership with 1X Technologies touched on a vision of the future in which humanoid workers operate side by side with humans. IFS and 1X announced a strategic collaboration under which the humanoid NEO is to be introduced into industrial environments as a robotic worker managed directly from IFS.ai. The joint concept assumes that in the coming years, the size of the industrial workforce will be measured not only in human full-time employees, but also in the number of AI agents and robots. Plants that today struggle to operate with 300 people are ultimately expected to rely on an ecosystem of as many as 3,000 “workers”: human experts, digital agents, and humanoids performing physical tasks, including in hazardous or hard-to-reach environments. Looking at this from the perspective of the conversations we have in Poland, it is clear that this direction will spark both great interest and questions around skills, safety, and responsibility. Industrial X Unleashed, however, showed that the discussion is no longer taking place only in laboratories, but increasingly on real factory floors. The joint pilot programme is set to involve selected companies from sectors such as manufacturing, energy, and aviation. Commercial availability of solutions based on humanoids is planned for 2026. Siemens and IFS: AI for the autonomous power grid Another highlight for participants of IFS Industrial X Unleashed was the collaboration with Siemens, focused on transforming power grids. IFS and Siemens will combine their strengths: on the one hand Gridscale X and Siemens’s experience in network and infrastructure planning, and on the other IFS.ai and solutions for asset management, investment planning, and field service operations. The goal is to create a pathway to an autonomous grid capable of independently balancing the growing share of renewables, managing ageing infrastructure, and responding to increasingly frequent weather extremes. The integrated platform is intended to connect the engineering perspective with the business and financial perspective, and to translate long-term investment decisions into concrete work orders for field teams. What has been emphasised is that the solution is to be modular and ready for cloud deployments without the need to rip and replace existing systems. From my point of view, this is also an important signal for companies in Poland that would like to benefit from modern solutions but are not ready to completely overhaul their system landscape. The collaboration is expected to benefit not only grid operators, but also energy producers, large industrial plants, and other organisations that depend on reliable infrastructure. The Industrial AI ecosystem: from labs to plants Beyond the partnership announcements themselves, Industrial X Unleashed also served as a stage for the broader ecosystem of advisors and integrators. Speakers included representatives of PwC, Accenture, Deloitte, Microsoft, MIT CISR, and Siemens Grid Software, among others. From a participant’s perspective, it was very clear that without cooperation between technology vendors, consultants, and integrators, it will be difficult to talk about real industrial transformation. Presentations frequently addressed topics related to infrastructure, data management, regulations, and, in particular, the massive need to reskill the workforce. On the IndustrialX.ai website, the organizer summarises the event format as a combination of product launches, “AI in action” demos, and strategic discussions about the future of work in industry. The programme was dominated by themes such as agentic AI, robotics, and physical AI, but the resilience of supply chains, infrastructure modernisation, and responsible deployment of new technologies were also recurring topics. As a participant, I had the impression that these three elements – product, demo, and strategy – were indeed well balanced. On the one hand, you could see concrete solutions in action; on the other, there was still room for broader reflection on how the labour market and business models will change. What comes after Industrial X Unleashed? Judging by the scale of the partnerships and scenarios presented, Industrial X Unleashed was more than just a product conference. IFS is trying to position itself as a trusted category leader for Industrial AI, a platform through which, in the coming years, not only data from sensors and robots will flow, but also decisions around maintenance, investment planning, and workplace safety. Image credit: IFS / IFS Industrial X Unleashed 2025 The joint projects with Anthropic, Boston Dynamics, 1X Technologies, and Siemens show that the company’s ambition is not merely to deliver yet another ERP system or AI module, but to truly connect the physical and digital layers – from a humanoid on the shop floor to an investment plan for the power grid. For me personally, the trip to New York confirmed that the direction we are taking with myERP.global is the right one. More and more conversations about ERP systems, maintenance, and asset management will take place in the context of AI agents, robotics, and physical AI. Above all, IFS Industrial X Unleashed was a demonstration of one rather bold assumption: that the future of industry will be built not by individual tools, but by tightly integrated ecosystems of people, AI agents, and robots. And we want to stay close to these changes and continue to report on them for our communities – both in Poland and abroad.

IFS expands ecosystem of Frontier AI, Robotics, Grid Tech and Business Advisory by forging new partnerships with leading AI tech companies Anthropic, 1X Technologies, Siemens and collaboration with Boston Dynamics Industrial X Unleashed, New York, NY – November 13, 2025 – IFS, the leading provider of Industrial AI software, is today showcasing the next wave of AI innovation, applied for Industry. At its marquee event, Industrial X Unleashed, taking place in Tribeca, New York, the company shared its vision, demonstrated specific applications of IFS.ai in action within an industrial setting, as well as unveiled partnerships through applied customer examples. Opening the event, Mark Moffat, CEO of IFS said: “The opportunity to drive growth in our economy, as well as positively impact our society and planet using AI is now – but importantly, what will make a difference is applying AI in the industrial setting. The news headlines to date have been on the generic productivity benefits AI can provide to office-based workers, but IFS is uniquely positioned to deliver contextual and industry-specific AI to workers in the field. And that is where we will see the most impactful innovation and efficiency gains.” Driving growth in Industrial AI IFS showcased partnerships with some of the fastest-growth AI companies looking for further expansion by applying their capabilities with IFS.ai to the hardcore industries that IFS serves including: Aerospace & Defense, Energy, Engineering & Construction, Manufacturing, Telco, and Transport. Examples from the following areas included: Frontier AI Models: a partnership with Anthropic saw IFS Nexus Black launch Resolve, powered by Claude, as the first of many new IFS solutions that puts industry-specific AI directly into the hands of frontline workers to transform work and rapidly deliver value. Resolve enables customers to predict and prevent faults faster by interpreting multi-modal data such as video, audio, temperature and pressure, and complex schematics. The scenario was demonstrated through a real-world customer use case, William Grant & Sons – the world’s largest independent distiller. William Grant & Sons has worked with IFS Nexus Black and Anthropic to forward-deploy a field-worker productivity solution within weeks. This is already helping engineers anticipate and resolve maintenance issues before downtime occurs, improving asset reliability, reducing unplanned outages, and freeing teams to focus on higher-value production tasks. Physical AI and Robotics: a collaboration with Boston Dynamics was used to demonstrate how physical AI and robotics can leverage IFS’s industrial AI within a utility setting. Customer Eversource, New England’s largest energy delivery company, spoke to the many scenarios being planned to improve efficiency and service to the 4.4million homes it serves. In addition, IFS’s partnership with robotics manufacturer 1X Technologies was announced, opening the opportunity for 1X Technologies to take their humanoid robots into industrial settings. Grid and Power: A partnership with Siemens Grid Software was announced, using IFS.ai to re-architect tomorrow’s intelligent autonomous grid through asset investment planning and grid infrastructure upgrades. R “Ray” Wang, Principal Analyst, Founder and Chairman, Constellation Research commented:“We are finally witnessing leadership in the category of Industrial AI. While frontier AI models and infrastructure platforms grab headlines, the critical missing piece has been the orchestration layer, the industrial operating system that embeds AI directly into mission-critical workflows.” He continued: “Customers seek deep domain expertise from their trusted AI partners, especially in manufacturing, utilities, aerospace, and energy. The AI Age isn’t about adding AI features to legacy software. It’s about architecting the control plane for the next generation of intelligent industrial operations where autonomous execution happens at scale, in real-time and achieving decision velocity for tangible business outcomes.” Additional speakers at the event included: Mohamed Kande, PwC Prasad Satyavolu, Accenture Garvan Doyle, Anthropic Dr. Merry Frayne, Boston Dynamics Ranjit Bawa, Deloitte Darryl Willis, Microsoft Stephanie Woerner, MIT CISR Dr. Sabine Erlinghagen, Siemens Grid Software For more information about Industrial X Unleashed, visit www.industrialX.ai.

Industrial AI leaders unite to transform Energy, Utilities, and Infrastructure with integrated AI solutions for grid planning, asset management, and field service optimization Industrial X Unleashed, New York, NY, November 13, 2025 – Today at Industrial X Unleashed, IFS, the leading provider of Industrial AI software, announced a strategic partnership with Siemens to deliver integrated, AI-driven solutions that will revolutionize how energy, utilities, and infrastructure operators plan, manage, and service critical grid assets. The collaboration unites Siemens’ world-class domain expertise in grid planning, electrification, and smart infrastructure with IFS’s market-leading capabilities in enterprise asset management, field service management, and AI-powered scheduling optimization. Together, the companies are addressing the most pressing challenges facing critical infrastructure operators: aging assets, supply chain disruption, labor shortages, and the urgent imperative to accelerate the energy transition through digital transformation and autonomous grid operations. The IFS and Siemens partnership delivers a unified solution that bridges the critical gap between engineering and financial planning, operational technology and information technology, and strategic asset decisions and real-time field execution. IFS is partner in the Siemens Xcelerator marketplace. By integrating IFS’s AI-powered enterprise asset management, field service, and asset investment planning capabilities with Siemens’ Gridscale X solutions, utilities and energy operators gain unprecedented operational intelligence across their entire infrastructure. The result: A pathway toward autonomous, self-optimizing grid operations that address today’s most critical infrastructure challenge. As utilities rapidly integrate distributed energy resources like solar and wind at scale, these inverter-based resources are transforming grid dynamics – creating both unprecedented opportunity and complexity. The combined solution enables utilities to manage this transition effectively, improving uptime, reducing costs, and driving measurable sustainability outcomes while maintaining the grid reliability and resilience that society depends on. This cloud-ready, modular approach enables digital transformation without disruptive rip-and-replace projects, delivering industry-specific solutions purpose-built for utilities, energy infrastructure, manufacturing, and critical facilities. Block Quote Block Quote Block Quote For more information about Industrial X Unleashed, visit www.industrialX.ai.

Physical World Strategic collaboration integrates humanoid robotics with IFS.ai to deliver measurable automation outcomes across manufacturing, field service, and asset management Industrial X Unleashed, New York, NY — November 13, 2025 — IFS, the leading provider of Industrial AI software, today announced at Industrial X Unleashed a strategic partnership with 1X Technologies (1X), to jointly industrialize humanoid robotics for asset-intensive industries. The collaboration will combine 1X’s humanoid robots with IFS.ai to develop and deploy production-ready robotics solutions alongside select customers across manufacturing, utilities, aviation and other industrial settings. The partnership creates a unified digital-physical operational environment where intelligent robots work directly within enterprise business processes. By integrating humanoids with IFS.ai, IFS and 1X will deliver solutions that close the loop from physical execution to business intelligence, enabling real-time orchestration of robotic operations and seamless data flow between physical work and enterprise systems. IFS and 1X will work with select customers to industrialize and validate humanoid robotics solutions across high-impact use cases: manufacturing and smart factory automation, IoT-enabled robotics feeding real-time operational data into IFS.ai, field service automation combining robotic hardware with intelligent maintenance orchestration, and vertical-specific applications for warehousing, aviation MRO to utility maintenance. This collaborative approach with pioneering customers will ensure solutions are production-ready and deliver measurable operational outcomes. “This partnership represents an exciting opportunity to bring together the physical and digital AI worlds,” said Christian Pedersen, Chief Product Officer at IFS. “By integrating 1X’s advanced robotics with IFS.ai, we’re creating solutions where intelligent machines and intelligent systems work in harmony. This isn’t about adding robotics as a feature, it’s about embedding intelligence in context, delivering real value to customers operating in asset-intensive environments. We’re focused on making a meaningful difference for businesses that manufacture, service, and maintain critical assets.” “This collaboration creates a seamless connection between physical execution and intelligent business processes,” said Jorge Milburn, EVP Sales & Operations at 1X Technologies. “By integrating our humanoids with IFS.ai, we’re building solutions where robots don’t just operate in isolation, they understand operational context, adapt to changing conditions, and deliver data that drives better decisions across the enterprise.” The Future Industrial Workforce: Humans, Digital Workers, and Robots The partnership represents a critical step in IFS’s vision of workforce multiplication in industrial operations. Industrial sectors face massive labor shortages: 1 million open jobs in the U.S. alone, half in manufacturing, while re-industrialization and energy demand accelerate. Where operations today rely on 300 human workers barely covering demand, the future holds 3,000+ total workers: human experts elevated to orchestration and judgment calls, digital workers (AI agents) running diagnostics and workflows 24/7, and robotic workers inspecting assets and handling hazardous work in challenging environments. For the first time in industrial history, output is no longer limited by how many humans organizations can hire. IFS orchestrates all three as one integrated system, the only platform designed to schedule, manage, govern, and optimize human, digital, and robotic workers together. The 1X partnership extends this capability into the physical world, enabling robotic workers to be deployed and managed within the same enterprise platform that runs operations. The partnership builds on IFS’s Industrial AI strategy, including the Nexus Black innovation accelerator and recent acquisitions of TheLoops and 7Bridges, which have positioned IFS to deliver agentic AI capabilities across customer operations. With advanced robotics integration, IFS continues to build the platform for the complete future of industrial work. The integrated solutions will be showcased to IFS customers globally, with commercial availability planned for 2026. About 1X Technologies 1X is a leading U.S.-based AI and robotics company, developing NEO–the humanoid robot. 1X’s mission is to create an abundant future through safe, intelligent humanoids. The humanoid platform from 1X has been designed to operate amongst humans. From homes to manufacturing floors. 1X provides an artificial labor solution to enhance human potential.

New breed of IFS Nexus Black Industrial AI solutions, powered by Claude, helps frontline workers keep factory lines moving, restore power 40% faster after disasters, and maintain critical infrastructure assets Industrial X Unleashed, New York, NY, November 13, 2025 – Today at IFS Industrial X Unleashed, IFS Nexus Black and Anthropic announced a partnership to accelerate and scale the impact of AI in the world’s most critical industries. IFS is launching Resolve as the first of many new IFS solutions that puts industry-specific AI directly into the hands of frontline workers to transform work and rapidly deliver value. The partnership combines the deep industry expertise and AI talent of IFS Nexus Black, part of IFS – the global Industrial AI leader that’s spent decades alongside customers in the hangars, factories and plants that keep the world turning – with Anthropic’s world-leading AI capabilities and commitment to building safe, reliable AI. “Partnering with Anthropic is about more than just their best-in-class AI models, it is also their commitment to responsible, safe AI – that’s non-negotiable when serving industries where, some days, life is on the line”, said Kriti Sharma, CEO at IFS Nexus Black. “These hardcore industries are where the real AI revolution is happening. It’s not the AI of tabloid headlines. It’s the lifeline for the workers that keep the lights on, the cupboards stocked, and the world turning.” Introducing Resolve: Transforming how critical industries operate with AI Resolve’s capabilities reflect the stark realities facing technicians and field workers across aerospace & defense, construction & engineering, manufacturing, energy, utilities & natural resources and telecoms. Leveraging Claude, Resolve enables customers to: Predict and prevent faults faster by interpreting multi-modal data such as video, audio, temperature & pressure, and complex schematics. Connect the right technician to the right part, in the right place with optimized scheduling. Prevent future faults, reduce paperwork and collect valuable data with voice recognition and automatic transcription. These industries are straining under the pressure of ageing infrastructure, lost expertise, and an increasingly unpredictable world that throws supply chains out of balance – all while facing a once in a generation increase in demands from re-industrialization and AI infrastructure build out.  They are underserved by generic and consumer-grade AI geared towards white collar workers and unsuited to asset and service-centric operations.  Scalable, high-impact AI solutions designed for industrial applications are urgently needed. “Anthropic combines frontier AI capabilities with the safety and reliability that industries require. IFS has unquestionable expertise in the complex realities of the industrial world – they have proven they can activate and apply AI in capital intensive and asset heavy environments. Together, we’re deploying AI where stakes are highest.” said Garvan Doyle, Applied AI Lead at Anthropic. Real impact: Transforming a Scottish distillery’s operations William Grant & Sons – the iconic distillers behind Grant’s whisky and Hendrick’s gin – is using Resolve to cut downtime and overhaul operations. Before, fragmented data meant that 38% of repairs carried out by engineers were emergency, not proactive – leading to costly downtime. Now, Resolve reads complex plant schematics, plugs into existing sensors to predict failure before it happens, and diagnoses faults based on what engineers actually need. Technicians use Resolve to diagnose faults based on the sound of a rattling pipe, video showing how a part’s moving strangely, or fluctuations in pressure. The distillery has slashed downtime and boosted output. The team estimates these changes will save £8.4 million annually at the site, once business-as-usual operations are established. “IFS Nexus Black understood our industry – they weren’t trying to apply something generic”, said Badri Narasimhan, Chief Technology & Business Growth Officer for William Grant & Sons. “It’s been innovation that’s practical, fast, and actually connected to results, not theory.” Transforming disaster response Beyond the factory floor, IFS Nexus Black solutions with Anthropic are solving crucial problems in disaster response – critical as weather related losses now equal 36% of US GDP. Last year, 27 weather disasters with billion-dollar losses hit the US, up from 14 in 2019. Technicians are at the heart of relief efforts for severe storms, wildfires and floods. In the chaos of a wildfire or severe storm, the field service worker is the quiet hero – driving in treacherous conditions and scaling transmission poles to get lights back on and hospitals back up and running. Now, planners back at headquarters can restore power faster: Predictive analytics assess which areas are likely to be hit and when. Technicians are directed to highest priority sites, and join the dots between adjacent power companies for mutual aid. On site, Resolve advises on the repair based on image or video capture, and automatically re-directs essential parts. The result is gas and utilities firms can now restore power after major events 40% faster than they could without a comparable tool – that translates to more communities protected, and schools and hospitals back up and running faster. To learn more about IFS Nexus Black, visit: https://www.ifs.com/nexus-black  For more information about Industrial X Unleashed, visit www.industrialX.ai.