JAGGAER launches AI assistant for procurement teams

JAGGAER has launched JAI, an artificial intelligence assistant for procurement teams, and it is now available to customers.

The tool is designed to answer staff questions about purchasing rules, suppliers, contracts and spending from within JAGGAER's procurement system. It also analyses company spending data to highlight off-contract buying, supplier risk and areas where costs could be reduced.

JAGGAER said early customer use suggests support tickets could fall by 50% in the first year. In some cases, adoption has grown by as much as 1,000% week on week, with the tool now used across more than 40 workflows.

JAI accepts plain-language questions in 28 languages. Its answers are based on a customer's own documents and data rather than public internet sources, and it uses the same security and access controls already built into the platform.

The launch comes as procurement teams face growing pressure to manage compliance, supplier oversight and cost control without adding administrative work. In many organisations, routine questions about approvals, preferred suppliers and contract terms still go through support desks or internal specialists, slowing purchasing decisions and increasing ticket volumes.

By placing those answers inside the procurement system, JAGGAER aims to cut routine support requests and reduce the time staff spend searching policy documents. Customers can deploy the assistant quickly once they decide to use it, the company said.

Early use

One large financial institution described the challenge of managing procurement and supply chain guidance spread across multiple documents and locations. It said the assistant had already improved speed and accuracy during the early access period.

"As a financial institution, we're beholden to very high standards from both a regulatory and a contractual standpoint. In practice, this means that Supply Chain teams need to reference and adhere to a complex set of principles. These are set out across different guides that range from risk standard handbooks to sourcing guides, often located in different places or outside the internal system, making the reference process difficult."

"JAI changes that. By creating a unified view of all these standards, users can find the answers to their questions, rapidly and efficiently, without exiting the system. We're confident in improvements on ticketing times and audit preparation in the future. But the time savings and accuracy of the detail we're seeing in the Early Access phase is already a huge win."

JAGGAER presented the launch as part of a broader push to build more artificial intelligence into procurement workflows. JAI is embedded in its core platform rather than offered as a separate tool, allowing it to draw on policy and transaction data already held in the system.

Andrew Roszko, Chief Executive Officer of JAGGAER, said the product is intended to help users make decisions with less manual effort. "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."

AI governance

Alongside the launch, JAGGAER said it has achieved ISO/IEC 42001:2023 certification for its Artificial Intelligence Management System. It described itself as the first source-to-pay software provider to gain the standard.

The certification covers governance processes for how JAGGAER develops and manages artificial intelligence features, including data governance, security and the handling of risks such as bias. For software buyers, such standards are increasingly used as one measure of how vendors control the use of generative and analytical AI in business systems.

JAGGAER operates in the procurement and supplier management software market, where vendors are adding conversational interfaces and data analysis tools to long-established workflow systems. The pitch is that employees can get answers faster and procurement teams can identify non-compliant or inefficient spending earlier, though adoption depends heavily on the quality of company data and internal rules.

The company employs about 1,200 people globally and sells software for source-to-pay and supplier collaboration processes.