JAGGAER unveils JAI AI platform to transform procurement tasks
JAGGAER has unveiled JAI, a human-guided AI orchestrator designed to advance enterprise procurement transformation for its customers.
JAI, which forms part of JAGGAER One and follows on from JAGGAER Assist, aims to support procurement teams with guidance and navigation, positioning itself as a partner rather than just an assistant.
In recent years, agentic AI has begun to influence global commerce, prompting companies such as JAGGAER to reconsider the integration of technology and procurement functions.
JAI operates as a conversational chatbot embedded within the platform, making use of large language models. It includes question and answer capabilities, purchase order invoice anomaly detection, and features powered by generative AI such as drafting and summarisation. These are combined with improved orchestration to deliver a more integrated user experience.
The platform emphasises a 'Human in the Loop' approach, ensuring that while automation and intelligence drive processes, human oversight and intervention remain integral. This is intended to provide intuitive and efficient experiences for end users across the procurement cycle.
JAGGAER customers have immediate access to JAI Assist, which offers conversational support and contextual coaching to streamline procurement tasks. Through JAI Assist, users can have questions answered, receive guidance on navigation, and initiate tasks such as creating requests for proposal or conducting supplier evaluations. This is intended to save time and reduce manual effort required in day-to-day procurement operations.
Looking ahead to the rest of the year, JAGGAER is planning the introduction of JAI Copilot.
This iteration of the technology is expected to offer advanced contextual support, including the identification of outliers and suggested actions within procurement activities. It is intended to provide real-time guidance across processes such as sourcing, contracting, and supplier management, resulting in potential time savings in the analysis phase.
Subsequent to JAI Copilot, JAI Autopilot is scheduled for release. This will serve as a no code or low code agentic platform, allowing the autonomous management of complex procurement workflows with elevated strategic decision-making by human users. According to JAGGAER, this approach is aimed at offering speed and scalability that procurement teams can rely on for their business needs.
Recent developments have already seen JAGGAER's AI technology deliver self-service assistance, knowledge retrieval, and workflow triggers based on natural language commands.
The latest iteration with JAI intends to further integrate intelligent task orchestration. Starting in the coming months, JAI will begin orchestrating features such as forecasting, spend management, cash flow management, contract management and request for information automation, combining them into a unified, conversational, and outcome-oriented platform.
The development team has designed JAI to shift how users engage with procurement technologies, aiming for streamlined decision-making and delivery of business outcomes.
Whereas previous AI agents were limited to automating single tasks such as purchase order matching or supplier outreach, JAI seeks to coordinate multiple agents in tandem with its users to achieve broader business objectives. JAI's role as a digital advisor extends to coordination across procurement domains such as sourcing, contracting, and category strategy.
The future roadmap anticipates JAI shifting from a copilot to an autopilot role, allowing for greater levels of autonomous procurement where adaptive and deterministic workflows can be executed with minimal human input.
Under this model, users are positioned as high-level overseers and key decision-makers while day-to-day tasks can be managed by the intelligent system.
"Today, we're not launching a feature - we're activating the intelligence foundation for JAGGAER's future", says Jon Lawrence, Chief Product Officer at JAGGAER.
"This isn't about adding AI to procurement. It's about transforming procurement into an intelligent system - one that learns, adapts, and gets better with every decision. JAI is how we'll scale expertise, accelerate outcomes, and unlock a new era of value for our customers."
