New AI-powered assistant is designed to answer procurement questions instantly, reduce support tickets, and help organisations uncover sourcing, supplier, and spend insights.
JAGGAER has officially launched JAI, a new AI-powered assistant built to make the daily work of procurement faster, clearer, and less frustrating for buying teams.
The new tool is designed to help employees get immediate answers to procurement questions, understand company purchasing rules, identify preferred suppliers, and access policy-compliant guidance without needing to raise support tickets or search across multiple systems.
For procurement leaders, the launch reflects a growing shift in the market. AI is no longer being positioned only as a strategic analytics layer. It is now moving into the daily flow of work, helping employees make better buying decisions at the point of need.
According to JAGGAER, early customer use has already produced strong indicators of value, including an expected 50% reduction in support tickets in year one, time savings across more than 40 workflows, and, in some cases, adoption growth of up to 1,000% week on week.
Making Procurement Guidance Instantly Accessible
One of the biggest challenges for many procurement functions is not a lack of policy or process. It is making those rules easy for employees to understand and follow.
Questions such as “Do I need approval to buy this?” or “Who is our preferred supplier for office equipment?” can often result in delays, help desk requests, and unnecessary internal back and forth. JAI has been developed to remove that friction.
Employees can ask questions in plain language across 28 languages and receive immediate answers based on the organisation’s own documents, policies, and procurement data. Rather than relying on broad internet-based information, JAI is grounded in the customer’s internal content, helping ensure answers are relevant, reliable, and aligned to company rules.
The assistant also respects existing security and access controls within the JAGGAER system, meaning users only see information they are authorised to access.
From Basic Questions to Deeper Spend Insight
Beyond answering everyday procurement questions, JAI is also designed to analyse spend and supplier data to highlight potential improvement opportunities.
This includes identifying where spend may be happening outside approved channels, where supplier risk could be concentrated, or where cost reduction opportunities may exist. These are areas that often require significant analyst time, manual reporting, or cross-functional input.
By bringing this capability into the procurement platform, JAGGAER is positioning JAI as both a user support tool and a decision intelligence layer for procurement and supply chain teams.
JAI is available now and, according to JAGGAER, can be set up on the same day a company decides to use it.
Building Trust in AI for Procurement
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.”
That trust element is becoming increasingly important as more procurement teams look to adopt AI. While generative AI has created clear excitement across enterprise technology, procurement leaders also need confidence around accuracy, compliance, data access, and governance.
JAI’s grounding in company-specific documents and data is intended to address that issue directly, giving users answers based on their organisation’s actual standards rather than generic guidance.
Early Use in Financial Services
A large financial institution using JAI during the Early Access phase described the value of bringing complex internal guidance into one unified view.
“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.”
What This Means for Procurement Leaders
The launch of JAI highlights a practical direction for AI in procurement. Rather than simply promising transformation at a strategic level, tools like JAI target the operational frustrations that slow teams down every day.
For CPOs and procurement leaders, the value lies in improving user adoption, reducing internal support pressure, increasing policy compliance, and helping teams make better decisions without adding complexity.
As procurement continues to become more digital, data-driven, and integrated across the enterprise, AI assistants that can combine usability with governance are likely to play a growing role in how organisations manage sourcing, suppliers, contracts, and spend.
About JAGGAER
JAGGAER is a global leader in enterprise procurement and supplier collaboration. The company supports organisations in managing and automating complex procurement processes while enabling resilient, accountable, and integrated supplier ecosystems.
Backed by 30 years of expertise, JAGGAER’s AI-powered industry-specific solutions, services, and partnerships form JAGGAER One, serving direct and indirect procurement, upstream and downstream processes, and complex source-to-pay environments.
JAGGAER has 1,200 global employees and supports customers on their journey towards Autonomous Commerce.
Website: www.jaggaer.com
