Whitepaper How to Get Manufacturing AI Delivering Results in Three Months

11 pages · Free download
Why conventional AI projects in manufacturing take years, and how the Digital Value Stream and preconfigured Manufacturing AI Agents bring the first applications live on real production data within weeks.

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Why Most AI Initiatives Stall

Most manufacturing companies are working on AI. Many plants have pilots, concepts, and status reports to show, but few applications running in live operations. Conventional projects run 12 to 24 months, and most of that time goes into building a contextualized production data model and developing each AI use case individually. Many initiatives stall at exactly this point.

The data foundation does not have to be built from scratch. ONIQ's Manufacturing Excellence Software connects to the existing source data within a few weeks and automatically creates the Digital Value Stream, the validated foundation conventional AI projects would otherwise have to build from the ground up.

What's Inside This Whitepaper

Content

The Foundation:
How ONIQ builds the Digital Value Stream from your existing ERP, MES, and shop floor data within weeks, not years.

Custom Agents in Natural Language:
How production teams build and extend their own AI Agents to reflect their specific requirements, without writing code.

The Path to Go-Live:
What a 2 to 3 month ONIQ Pilot looks like, from first data connection to AI applications running on your own production data.

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Your Contact - Julia Härtner

Julia Härtner, VP Growth & Revenue, has been a key driver of digital transformation for many years, recognizing it as a critical success factor for the industry. With ONIQ, her mission is to seamlessly integrate Lean Manufacturing methods with intelligent software, making them more effective, scalable, and future-ready.