Worked example
Accounts payable: from invoice backlog to a governed AI workflow.
Follow one bounded business question from current work through human–AI allocation, deterministic economics, implementation requirements and outcome observation.
All numbers are illustrative assumptions used to demonstrate the method. They are not customer results or performance claims.
Illustrative example — not a customer or performance claim
1 · Understand the baseline
12,000 invoices
18 min / invoice
A$55 / hour
3,600 hours · A$198,000
2 · Decide the work allocation
Exception research
Supplier, policy and payment decisions
3 · Calculate the scenario
Illustrative gross annual human-capacity value: 2,160 × A$55 = A$118,800
This is not ROI or realised savings. AI runtime is not counted as human touch time; implementation cost, software and inference run cost, ramp-up, demand, risk and adoption must be added before an authorised investment decision.
4 · Deliver the implementation blueprint
- Invoice intake, matching and exception workflow
- AP specialist, approver and AI work allocation
- ERP, supplier and document-data requirements
- Payment authority, thresholds and exception controls
- Acceptance tests, rollout sequence and named owners
- Adoption, handling-time, exception and benefit instrumentation
5 · Measure what actually happens
- Share of eligible invoices using the new workflow
- Human minutes and elapsed cycle time by work type
- Exception, rework and policy-breach rates
- Capacity released versus the approved scenario
- Evidence review before any benefit or causal claim
Discuss your challenge
Use the example to challenge the method.
Then bring a real business decision and replace every illustrative input with authorised evidence from your organisation.