JAGGAER has unveiled JAI, an artificial intelligence assistant the company says is designed to take some of the friction out of procurement by answering routine questions, surfacing spending insights and guiding employees through buying rules more quickly.
The launch comes as procurement teams increasingly look for tools that can reduce delays, cut repetitive support requests and help staff navigate internal policies without escalating every query to a help desk. According to J...
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AGGAER, early customer use points to a potential 50% fall in support tickets over the first year, alongside time savings across more than 40 workflows. In some cases, the company says adoption has risen as much as 1,000% week on week.
JAI is built to respond to plain-language questions in 28 languages and is grounded in a company’s own documents and data, rather than general internet sources. JAGGAER says that approach is intended to make answers more relevant and policy-compliant, while preserving the security and access controls already in place, so users only see information they are authorised to view.
Beyond simple Q&A, the assistant can analyse spend data to flag buying outside approved channels, identify suppliers that may pose greater risk and point to areas where costs could be reduced. The company said the tool is available immediately and can be deployed the same day.
Andrew Roszko, JAGGAER’s chief executive, said procurement had long been about making decisions with limited time and information, adding that JAI was meant to change that dynamic by embedding trusted guidance directly into the platform.
In separate material, JAGGAER described JAI as part of a broader AI roadmap for its JAGGAER One platform. The company said the product will evolve from an assistant into a copilot and, eventually, an autopilot capable of handling more complex procurement workflows with less human intervention.
Jon Lawrence, the company’s chief product officer, said JAGGAER was not simply adding AI features, but laying the groundwork for a system that learns from decisions and adapts over time. The company positions JAI as a procurement-native layer that can support tasks ranging from supplier risk monitoring and ESG compliance to contract optimisation and demand forecasting.
For now, the immediate pitch is less futuristic: faster answers, fewer tickets and less time spent hunting through systems for basic information. In a part of the business often burdened by manual checks and policy questions, JAGGAER is betting that practical automation will prove easier to sell than abstract promises about AI.
Source: Noah Wire Services
