JAGGAER has launched JAI, an artificial intelligence assistant intended to make procurement teams faster and less reliant on internal support desks, as software vendors race to add conversational tools to long-established buying systems.
The company said the assistant is now available to customers and is built into its core platform rather than being offered as a separate product. That matters because JAI is designed to work with a customer’s own procurement documents, policy...
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rules and transaction data, allowing staff to ask plain-language questions about purchasing approvals, preferred suppliers, contracts and spending without leaving the system.
JAGGAER said the tool can also scan company spend to flag off-contract purchases, supplier risk and possible savings. In early customer use, the company claims support tickets could fall by 50% in the first year, while some deployments have seen usage rise by as much as 1,000% week on week across more than 40 workflows.
The assistant supports 28 languages, which JAGGAER says should make it easier for multinational groups to roll it out across dispersed teams. The company also says JAI uses the same security and access controls already embedded in the platform, with answers drawn from internal content rather than public web sources.
One financial institution involved in early access said the problem it faced was not a shortage of information, but that key procurement and supply-chain guidance was scattered across multiple handbooks and guides. It said the new assistant had brought those standards together in one place, improving speed and accuracy during testing and helping users find answers without exiting the platform.
Andrew Roszko, JAGGAER’s chief executive, said the product is meant to reduce manual work and improve decision-making, arguing that procurement professionals often have to act quickly with incomplete information.
JAGGAER is also using the launch to underline its AI governance credentials. The company said it has obtained ISO/IEC 42001:2023 certification for its artificial intelligence management system, and described itself as the first source-to-pay software provider to do so. For enterprise buyers, that standard is increasingly seen as a sign of how carefully a vendor manages data, bias and security in AI-enabled products.
The release of JAI reflects a wider shift in procurement software, where vendors are adding copilots, drafting tools and analytics features in an effort to cut routine work and surface risks earlier. The challenge, as ever, will be whether customers have clean enough data and clear enough rules for the technology to deliver on its promise.
Source: Noah Wire Services
