POWER AUTOMATE — PROJECT 8🔴 EXPERT
Object-centric process mining across the procurement process — Process Intelligence studio. Static reference only.
Process Intelligence Studio — Procurement Process Model
PurchaseRequest
↔
Approval
↔
PurchaseOrder
↔
Invoice ×2
↔
Payment ×2
6.4 days
Avg. request-to-payment cycle time
3.2 days
Avg. wait — Finance approval step
14%
Rework rate — approvals sent back
61%
Invoices on the automated fast-path
✨ Copilot in Process Mining — natural language summary
"The Finance approval step accounts for roughly half of total cycle time. Most delays cluster around requests over ₹50,000, which route to a second approver not currently notified proactively."
✔ Reviewed against underlying model — confirmed accurate
Recommendation: add a proactive reminder/escalation flow for the second-approver step on requests over ₹50,000 — estimated to cut average cycle time by ~1.1 days based on current wait-time distribution.
What this shows: purchase requests, approvals, POs, invoices, and payments are modeled as related but distinct objects — with genuine one-to-many relationships (one PO, two invoices, two payments) that a flat single-case model would have hidden. The Copilot-generated summary is explicitly marked as reviewed against the underlying model, and the finding is translated into one scoped, quantified recommendation rather than a vague "automate approvals" directive.