JAGGAER launches AI procurement assistant

JAGGAER launches AI procurement assistant

JAGGAER has launched JAI to reduce procurement friction across enterprises. The AI assistant answers purchasing, supplier, contract, and spend questions using company documents, data, and access controls.


JAGGAER has launched JAI, an AI-powered assistant designed to answer procurement questions, reduce support tickets, and surface sourcing, supply, and spend insights from within the company’s procurement platform.

The assistant responds to plain-language questions about purchasing rules, preferred suppliers, contracts, approvals, spending, and supplier risk. JAGGAER says early customer use indicates an expected 50% reduction in support tickets in the first year, time savings across more than 40 workflows, and adoption rising by as much as 1,000% week-on-week in some cases.

JAI is grounded on each customer’s own documents and procurement data. It also follows the security and access controls already configured in the JAGGAER system, so users only receive information they are authorised to view.

Employees can ask questions in any of 28 languages and receive policy-compliant answers without opening help desk tickets or switching between systems. The tool is designed to handle common procurement queries such as whether approval is needed, which supplier should be used, where a policy sits, or how a contract applies to a purchase.

Andrew Roszko, CEO of JAGGAER, said: “Procurement has always been about making smart decisions with limited time and information. JAI changes that equation entirely. It is embedded into the core platform and actually earns trust – it knows your business, respects your rules, and gives you answers you can act on. This is just the beginning.”

The tool also extends into spend analysis, identifying areas where money is being spent outside approved channels, where supplier risk may be concentrated, and where cost-reduction opportunities may sit. That expands the assistant’s role from internal query handling into decision support across source-to-pay operations.

A large financial institution involved in early access said its supply chain teams needed to refer to a complex set of principles across risk handbooks, sourcing guides, and other documents, often stored in different places. It said JAI had created a unified view of those standards and was already showing gains in time savings and accuracy during the early access phase.

JAI is available now and can be set up on the same day a company decides to use it. More information is available through JAGGAER’s JAI product page.

The procurement software market is moving quickly from AI demonstrations into embedded tools that must stand up to policy complexity, audit requirements, and supplier risk controls. JAI’s performance will be judged on whether it can reduce manual checking while keeping answers traceable, accurate, and aligned with each organisation’s rules.


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