AI-powered assistant helps organizations reduce support workloads, improve sourcing decisions, and deliver faster procurement insights
JAGGAER has launched JAI, a new AI-powered procurement assistant designed to help organizations streamline purchasing operations, reduce support costs, and improve sourcing and spend management decisions.
Integrated into the company’s procurement platform, JAI enables employees to ask procurement-related questions in natural language and receive immediate, policy-compliant responses based on company-specific data and documentation.
According to JAGGAER, early customer deployments have shown significant operational benefits, including an expected 50% reduction in support tickets during the first year of use, faster execution across more than 40 procurement workflows, and rapid adoption among employees.
The AI assistant supports 28 languages and is designed to answer common procurement questions such as approval requirements, preferred suppliers, contract details, and spending policies without requiring users to raise helpdesk tickets or switch between multiple systems.
“Procurement has always been about making smart decisions with limited time and information. JAI changes that equation entirely by delivering trusted, policy-aware answers that organizations can act on instantly,” said Andrew Roszko.
Unlike generic AI tools trained on public internet data, JAI is grounded in an organization’s own procurement policies, supplier information, contracts, and internal data sources. The platform also adheres to existing enterprise security controls and user-access permissions to ensure employees only access authorized information.
Beyond answering queries, JAI can analyze procurement and spend data to identify sourcing inefficiencies, unmanaged spending, supplier risks, and cost-saving opportunities that traditionally required manual analysis from procurement teams.
JAGGAER said the assistant is designed to help procurement teams make faster and more informed decisions while reducing operational friction for employees across the business.
“Procurement has always been about making smart decisions with limited time and information. JAI changes that equation entirely,” said Andrew Roszko. “It knows your business, respects your rules, and gives you answers you can act on.”
The company added that JAI can be deployed on the same day an organization decides to implement the solution, accelerating adoption and time-to-value for procurement teams seeking AI-driven operational efficiency.
