Manufacturing AI

For Manufacturers, the AI Act’s Real News Isn’t the Delay

The EU’s Digital Omnibus delays most high-risk AI Act obligations until 2027–2028 and narrows the definition of high-risk AI, reducing the compliance burden for many manufacturing use cases such as quality inspection, predictive maintenance, and process optimization. However, manufacturers still need to meet AI transparency requirements from August 2026, ensure AI literacy, and begin classifying all AI systems they use or supply.

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AI Won’t Fix Slow RFQs Until the Product Logic Is Under Control

For complex manufacturers, the biggest AI opportunity lies in the quote-to-delivery process, but only if product configuration rules, data, and system integrations are already governed and aligned. AI can accelerate quoting, yet without a reliable digital thread across CPQ, ERP, PLM, and production systems, it risks scaling errors rather than improving margins and operational performance.

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The most practical AI move for complex manufacturers may be upstream of the factory floor

For complex manufacturers, one of the highest-impact AI opportunities may be before production begins: automating product modeling for CPQ systems to accelerate quoting and reduce reliance on scarce engineering expertise. Tools like Tacton’s AI Product Modeling Assistant can cut model-building effort by 40–80%, helping manufacturers respond to RFQs faster, launch configurations quicker, and scale knowledge more effectively.

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