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ML training workstations

PR-7002 · Tom Okafor · Oct 15, 2026

pending approval

What it does

This page is the full record for one purchase request: what was asked for, how policy rules applied, and each approval step. When the last required approver signs off, ProcureAI issues a purchase order (PO) to the supplier with the same lines and payment terms.

What you can do here

  • Review line items, the original wording, and policy check results
  • Approve or reject if you are the person waiting on the timeline (demo: act as that approver)
  • See the issued purchase order and success banner once the request is ordered

Behind the scenes

Each approval or rejection is stamped on the timeline with an optional comment. Rejection stops the request. When every step is approved, the agent creates a new PO in the system, links it to this request, and logs the activity for the command center.

Example: After Tom Okafor (manager) and Lena Fischer (IT category manager) approve Dev Kapoor's hardware request, ProcureAI issues a PO to Apex Devices—for example PO-1049—with Net 60 terms on the total shown here.

Line items

DescriptionQtyUnit priceLine total
Quanta GPU Workstation (2x RTX)3 each$11,900$35,700
Total $35,700

Original request

We need 3 GPU workstations for the recsys team, ideally within a month

Justification: Recommendation-model training is queueing 2 days for shared GPUs

Policy checks

  • Contracted catalog
    Item is not on a negotiated contract; consider sourcing event
  • Approval threshold
    Routed to Finance for spend above $25,000

Approval timeline

  1. TO
    Tom Okafor
    Manager
    approved
    1d ago
  2. LF
    Lena Fischer
    IT category manager
    pending
  3. RI
    Raj Iyer
    Finance (> $25k)
    pending

Supplier

Quanta Hardware
Approved tier · Risk score 38