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GoWide

AI Process Intelligence

Reconstruct how your processes really run and where value leaks.

A tool-agnostic engagement that rebuilds procure-to-pay, order-to-cash, finance, service and compliance processes from your system data, quantifies the cost of each deviation, and sustains the fix.

Simulated demo

No external systems connected

  • Avg. cycle time

    9.5days

    ↓ 34% potential

    Potential improvement (illustrative)

  • Off-contract (maverick) POs

    9%

    ↓ 56% potential

    Potential improvement (illustrative)

  • Requisitions reaching payment

    80%

    ↑ 10 pts potential

    Potential improvement (illustrative)

Procure to Pay process map

Typical issues: Off-contract spend, duplicate or incorrect payments, invoice cycle time, supplier compliance

Case counts follow gowide.com’s example flow; days are illustrative.

14% reworkRequisition0.8 dPO Created1.6 dBottleneckMaverick PO2.4 dGoods Received2.9 dInvoice Received1.8 dPayment

Select a step to see case count, median time and variants.

Time per step (days)

Turn on “Simulate fix” to compare.

Insights

  • 1,129 of 12,103 POs (9%) were raised off-contract, the biggest source of delay and leakage.
  • 14% of invoices loop back to PO stage for price or quantity mismatches.
  • Routing requisitions to contracted suppliers could remove most maverick POs (illustrative).

Stage counts follow the example flows on gowide.com; timings and improvements are illustrative estimates, not commitments. In an engagement they come from your own system data.

Works with

  • SAP
  • Oracle
  • Microsoft Dynamics
  • NetSuite
  • Workday
  • Salesforce
  • ServiceNow
  • Celonis
  • Apromore

Results

Published on gowide.com
  • 4–6 weeks

    to a first quantified opportunity

  • 4 stages

    Discover, Diagnose, Improve, Sustain

Want to see this on your own data?

We’ll run it on your documents and systems in a live session.