Your AI Procurement Analyst.
Grounded in Your Policies.
Fluent in Your Data.

JAI is the intelligence and execution layer across JAGGAER One. It helps your people work the right way, gives leaders and analysts instant answers from live procurement data, and absorbs the repetitive support volume that consumes your team — embedded in the platform, trained on your policies, available the same day. Four things set it apart from Copilot, ChatGPT, and the rest: Accurate (grounded only on your policies and documentation, not the internet), Secure (mirrors your existing JAGGAER permissions; data never leaves your environment and never trains a model), Trustworthy (every response cites the source document, eliminating hallucination risk in a compliance context), and Multi-model (uses Gemini and Claude, choosing the right model per task — no lock-in). Enterprises don’t fail at insight; they fail at follow-through. JAI is built for follow-through.

Repetitive ‘how do I…?’ tickets: answered instantly, in-app, with citations (75% ticket reduction in early access). Policy non-compliance: thresholds and approval paths enforced in real time. High training burden for infrequent users: guidance embedded in the platform, no training required. FTE cost of first-line support: JAI handles L1 volume; humans handle exceptions. No live spend visibility without a report request. Deep Research answers spend concentration, supplier risk, invoice backlogs, and channel compliance from live data. Analyst capacity consumed by recurring data requests: Deep Research handles the repeats so analysts focus on judgment work, not retrieval.

JAI deflects the repetitive policy and process questions that swamp support queues. Your team keeps the complex escalations, now with full conversation context attached so they never start from zero.

Your content stays in your tenant. Nothing trains foundation models. Processing happens in the region you select, and every prompt and response is treated as sensitive enterprise data with full audit trails.

JAI answers only from approved source documents and cites them every time. If it doesn’t have a confident grounded answer, it says so and routes the user to a human. Hallucinated answers are a failure mode we design against at every step.

Generic AI tools answer from the open internet. JAI answers only from your own policies, contracts, and platform data — grounded, cited, and scoped to your tenant. It’s built natively into your S2P workflows rather than bolted on, mirrors your existing JAGGAER permissions, and never uses your data to train a foundation model. It also runs on multiple models (Gemini and Claude), choosing the right one per task instead of locking you into one vendor.

Business requesters get guided through the right process the first time, no training required. Procurement teams get instant policy lookups and approval path clarity. Suppliers self-serve onboarding, RFx guidance, and issue resolution without a ticket. Approvers see what is being requested, why, and whether it is compliant before they act. Procurement Ops / COE admins control knowledge sources, access, usage metrics, and escalation paths. Finance and analysts use Deep Research for spend, supplier, invoice, and bottleneck answers — no report request, no wait. Auditors get cited responses and full agent action logs traceable to source. CPOs surface budget overruns, supplier risk, and spend concentration in one question. AP managers diagnose invoice backlogs with prioritized recommendations. IT and security teams get GDPR alignment, tenant isolation, and TLS 1.3 built into JAI — built to pass enterprise review. JAGGAER maintains an ISO 42001-certified AI management system.