The collaboration centres on industrial AI, with both companies working to connect AI-native production planning and asset management systems to deliver greater productivity and adaptability across the manufacturing lifecycle.

According to McKinsey, AI is becoming increasingly accessible for manufacturers as cloud storage, processing costs and pre-packaged tools become more affordable — a shift that could help improve efficiency, yield and margins. Yet many manufacturers continue to operate with siloed, disconnected systems that hold back that potential.

Siemens argues that siloed systems present a significant challenge, with manufacturers' production, maintenance planning and supply chain management systems operating in fundamental disconnection — leaving engineering intent, real-world performance and service strategy separated from one another.

According to Siemens, unplanned downtime, disconnected maintenance schedules, siloed production data and supply chain disruption continue to erode throughput, agility and margin, underscoring the need for integrated systems that bridge the divide between planning and execution.

Siemens brings a comprehensive digital twin to the partnership, drawing on its position as a leader in industrial AI, while IFS contributes service history, asset behaviour and operational lifecycle data.

Mark Moffat, CEO of IFS, said manufacturers need their factory floor to behave the way it was designed, describing the partnership as bringing together two companies that each own a critical piece of the puzzle. He added that agentic AI is the critical frontier, and that industrial leaders need closed-loop models with rich context that will not hallucinate in active operations.

Key Takeaways

• →IFS and Siemens have partnered to integrate AI-native production planning with asset management across the manufacturing lifecycle.
• →Siemens contributes its comprehensive digital twin, while IFS brings service history, asset behaviour and lifecycle data.
• →The partnership aims to deliver an "executable Digital Twin" connecting design, manufacturing and asset lifecycle data.
• →Siloed production, maintenance and supply chain systems remain a major barrier to manufacturing performance.
• →Only 29% of manufacturers with a global production system report full implementation across all sites, per McKinsey.
• →IFS's Mark Moffat says closed-loop, hallucination-resistant agentic AI is critical for active industrial operations.