AVEVA, a global leader in industrial software, and IFS, a global leader in AI-powered enterprise software for asset-intensive industries, have announced a technology partnership designed to help complex industrial organizations connect operational intelligence, enterprise execution, and strategic capital planning. The two companies unveiled the first output of their collaboration at AVEVA World in Milan: Continuous Asset Decision Intelligence, a new joint solution built to turn real-time operational and asset data into smarter maintenance, investment, and execution decisions across the integrated asset lifecycle.
Quick Intel
Bridging the Gap Between Insight and Action in Industrial Operations
One of the most consistently reported challenges across asset-intensive industries is the structural separation between live operational data and the enterprise-level information required to act on it. Operational data sits with operations teams, while maintenance history, outage plans, spare parts inventory, crew capacity, and investment priorities reside in separate systems managed by separate teams. This fragmentation slows the journey from insight to action and forces decision-makers to act on incomplete information.
The consequence plays out at the operational level every day. A reliability engineer identifies an anomaly, but the maintenance planner working with partial information must determine whether a fix is already in the work plan, whether the asset has failed this way before, whether similar failures should be expected at other sites, and ultimately whether to repair, defer, or replace. Without a connected information environment, each of those questions requires manual investigation across disconnected systems.
The AVEVA and IFS partnership is specifically designed to answer those questions within a single connected decision flow, ensuring every participant in the value chain has the information and AI-enriched insight needed to act with speed and confidence.
Continuous Asset Decision Intelligence: How It Works
The joint solution connects operational and engineering intelligence with strategic capital planning in a unified architecture. Rather than treating asset anomalies as isolated local events, the solution elevates them into portfolio-level decisions with full context attached.
For a utility operating hundreds of substations, a rising temperature alarm and abnormal dissolved gas readings at a single substation are no longer managed as a local firefight. Instead, decision workflows automatically bring together the maintenance history, asset criticality, spare parts availability, crew availability, outage planning, and capital programme context, enabling stakeholders to prioritize the right work, compare repair-defer-replace options against fleet-wide precedent, schedule the appropriate personnel and parts, and retain a complete evidence trail from the initial detection of the issue through to remediation.
Caspar Herzberg, CEO of AVEVA, commented: "Industrial intelligence only becomes real when you have the complete picture. Our partnership with IFS connects data and insights in powerful new ways, from sensor to boardroom. The architecture is right, the customer need is urgent, and the AI opportunity is now practical. This is what radical collaboration looks like in reality."
Mark Moffat, CEO of IFS, commented: "IFS helps customers turn asset insight into action across maintenance, service, workforce and capital planning. Together with AVEVA, we can give customers the operational context and enterprise AI they need to decide what work to do, when to do it, and whether to repair, defer or replace — with evidence from signal to outcome."
Industry Analysts Validate the Approach
The partnership has drawn strong validation from independent industry analysts, with both IDC and ARC Advisory Group commenting on its strategic significance.
Jeffrey Hojlo, Research Vice President at IDC, noted that AVEVA and IFS are addressing one of industrial AI's biggest gaps, the distance between insight and action, and that the closed-loop digital thread the partnership enables provides a foundation upon which generative, agentic, and predictive AI can advance data analysis, enhance knowledge sharing, and improve both planning and risk management.
Craig Resnick, Vice President of ARC Advisory Group, highlighted that what makes the partnership compelling is its ability to close the distance between insight and action, turning thousands of data points into a single evidence-based decision flow. He also noted the importance of the auditable chain from asset condition to decision to outcome, describing it as increasingly critical for boards, investors, and regulators.
Measurable Outcomes Across Capital, Reliability, and Compliance
The partnership delivers four categories of measurable benefit for AVEVA and IFS customers. Capital efficiency improves as operational and asset-health insights enable risk-ranked investment decisions, directing capital toward work that most advances reliability, safety, and business objectives. Reliability is strengthened through real-time autonomous prioritization of work instructions, optimized crew dispatch, and dynamic maintenance strategies that replace calendar-based scheduling, compressing detection-to-response lag from days or weeks to hours.
Regulatory and investment confidence is supported by a continuous, auditable evidence chain from asset condition through investment decisions to measurable performance outcomes, timestamped and ready for regulators, boards, and investors. IT and OT complexity is reduced through a platform-to-platform architecture that replaces custom point-to-point integrations, cutting integration cost and accelerating time to value across the enterprise.
The AVEVA and IFS partnership represents a significant structural advance in how industrial organizations can connect the operational data they generate with the enterprise-level context required to act on it intelligently. By delivering Continuous Asset Decision Intelligence as a unified solution rather than another layer of siloed tooling, the two companies are directly targeting the gap that has prevented industrial AI from delivering its full potential in asset-intensive environments. For industries where capital decisions, regulatory accountability, and operational reliability intersect at the asset level, the ability to move from signal to evidence-based action within a single connected workflow is a capability shift with consequences that reach from the plant floor to the boardroom.
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