"These changes are framed not as incremental upgrades, but as a deliberate move toward operational AI that can act with purpose on the factory floor. Manufacturers have spent decades working inside systems of record, carefully maintaining data that supports reporting, compliance, and planning. Those systems are necessary, but they are often slow to respond when conditions change. QAD's latest direction acknowledges that reality and proposes a different role for enterprise software, one that emphasizes anticipation, guidance, and execution rather than observation alone."
"Central to this shift is a new collaboration between QAD and AWS, resulting in the launch of Champion AI. Built specifically for mid-market manufacturers, Champion AI brings agentic AI capabilities to a segment that has traditionally lacked access to enterprise-grade models. Agentic AI differs from traditional analytics in how it operates. Instead of simply presenting insights for review, it is structured to recommend and initiate next steps based on current conditions."
QAD is shifting from traditional manufacturing systems of record toward platforms that actively participate in operations, prioritizing anticipation, guidance, and execution. QAD partnered with AWS to launch Champion AI, a platform built for mid-market manufacturers that delivers agentic AI capabilities backed by AWS infrastructure. Agentic AI is designed to recommend and initiate next steps rather than only present insights, enabling timely response to emerging supply chain, production schedule, or demand issues within defined parameters. Champion AI aims to give mid-market firms access to enterprise-grade models, allowing systems to support and act on decisions while outcomes can still be influenced.
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