On 13 October 2026, IFS launched IFS Intelligence at its annual IFS Unleashed conference in Orlando, Florida (IFS, official press release, 13 October 2026). The product consolidates an industrial organisation’s operational data — assets, work orders, schedules, history — and submits it to an AI layer governed by the “Industrial AI Harness”, enabling digital agents to reason, plan, and act directly inside ERP systems within limits set by the enterprise.
Context: A Nordic ERP Vendor on a Strong Growth Trajectory
IFS is a Swedish enterprise software vendor founded in 1983, specialising in asset-intensive industries and critical operations: aerospace and defence, energy, field service management, and engineer-to-order manufacturing. With more than 7,000 employees across 80 countries, the company crossed the €1 billion ARR milestone in 2024 and recorded ARR growth of 32% for fiscal year 2024 (ERP.today, 2024). Momentum continued with +23% ARR growth for the full FY2025 (PRNewswire, FY2025 results), followed by +25% in H1 2026 (IFS, H1 2026 results).
This growth is driven by demand for its industrial AI capabilities, strengthened by three recent acquisitions: TheLoops (operational AI), 7Bridges (autonomous supply chain), and Softeon (warehouse management). IFS Intelligence is the synthesis of these investments into a unified product.
IFS CEO Mark Moffat frames the problem the product addresses: “Industrial organisations are running at about 60% of their potential. The missing 40% is locked in expertise and data siloed across systems.” (PR Newswire, 13 October 2026)
What IFS Intelligence Means for Industrial CIOs
IFS Intelligence is built around three usage modes and a governance framework that runs across all of them.
Cowork is the investigation mode: an operator queries live data in natural language, explores anomalies, or creates “Lenses” (reusable filters) and “Skills” (analysis sequences). No automated action — just contextual assistance. This is the lowest-risk entry point, immediately applicable to predictive maintenance or asset performance monitoring.
Loops delegates entire workflows to digital agents with predefined escalation protocols. An agent can, for example, continuously monitor inventory thresholds, trigger replenishment orders, and escalate to a human when a supplier reports a stockout. Human oversight is preserved, but the recurring operational burden moves to the agent.
Runway accelerates IFS Cloud migrations and configurations from requirements expressed in plain language: a CIO describes a target process, Runway generates the corresponding configuration, reducing back-and-forth between business teams and system integrators. For organisations currently evaluating or deploying IFS Cloud, this is a meaningful time-to-value argument.
All three modes rest on the “Industrial AI Harness” — a six-component governance framework comprising task orchestration, connectors to source systems, context memory, guardrails and permissions, verification and escalation, and complete auditability of every decision (IFS, op. cit.). Importantly for industrial groups concerned with data sovereignty: no raw data is transmitted to external AI providers. Pricing follows a universal enterprise licence model with no feature tiers.
The structural difference from a generic AI copilot is significant. A copilot answers questions. IFS Intelligence can act inside operational systems under rules defined by the CIO, with a full audit trail of every action taken. In sectors such as aerospace or critical asset management, this traceability is often a regulatory requirement as much as a governance preference.
What to Watch
IFS Intelligence is available now for IFS Cloud customers. The value proposition is compelling, but two areas merit attention.
First, operational data quality. Loops agents can only be as reliable as the master data they operate on. Organisations whose work orders, bills of materials, or asset records are fragmented or poorly maintained will need to consolidate their data before deploying automated modes. Governed AI amplifies the quality of existing data — it does not replace it.
Second, competition in this space. SAP with Joule, Microsoft with Copilot for Dynamics 365, and specialists such as Infor and Hexagon are all targeting the same use cases. The question for a CIO is no longer “will AI enter my ERP?” but “which vendor provides the governance depth and industry contextualisation best suited to my operations?” On that criterion, IFS’s sector depth in aerospace, defence, and energy is a meaningful differentiator against generalist platforms.
For further reading, see our comparison of IFS Cloud vs SAP S/4HANA for mid-market industrial companies, our guide to ERP for the energy and utilities sector, and our analysis of ERP for aerospace and defence.
