A fast path to eliminating unauthorized surcharges, miscalculated formulas, and price increases that violate contract terms.
All invoice intake channels consolidated: manual entry, email, EDI, API import
Exception routing to the right fulfiller based on supplier, category, amount, issue type
Payment processing integration with your ERP
Duplicate invoice detection prevents double-payment
Real-time AP analytics dashboard: exception aging, volume trends, cycle time
Automated 2-way and 3-way matching (invoice ↔ PO ↔ receipt)
ServiceNow provides the AI tools—but tools require configuration expertise to become APO intelligence.
Extract invoice line details (surcharges, accessorials, fuel charges, unit prices, descriptions) with confidence scoring
Extract accessorial codes, validate against allowed list by lane/category, auto-reject non-compliant charges
Summarize complex exceptions, propose resolutions, generate supplier communication drafts
Policy tables for allowed surcharge types, caps by supplier/category/lane, validate fuel/tariffs/duties against formulas and caps
Classify exceptions by root cause, recommend resolutions, route to correct fulfiller based on patterns
Historical price baseline by item/supplier, flag increases >X% without justification
Savings exist in contracts that never reaches the P&L. Your sourcing team negotiated better rates but those rates exist in PDFs. AP validates against PO prices—which were never updated to reflect the contracted rates.
ServiceNow Document Intelligence extracts contract clause metrics. Now Assist enables conversational contract search.
Outcome Driven connects negotiated contract terms to transaction enforcement.
Extract invoice line details (surcharges, accessorials, fuel charges, unit prices, descriptions) with confidence scoring
Extract accessorial codes, validate against allowed list by lane/category, auto-reject non-compliant charges
Summarize complex exceptions, propose resolutions, generate supplier communication drafts
Policy tables for allowed surcharge types, caps by supplier/category/lane, validate fuel/tariffs/duties against formulas and caps
Classify exceptions by root cause, recommend resolutions, route to correct fulfiller based on patterns
Historical price baseline by item/supplier, flag increases >X% without justification
Drag the slider to estimate hard-dollar savings and AP labor hours saved. Results vary – please contact us to get a more accurate estimate.
| Label | Hard-dollar savings (annual) | FTE hours saved (annual) |
|---|---|---|
ServiceNow APO Best Practice | $0 | 0 hrs |
APO Recovery Engine | $0 | 0 hrs |
APO Contract Enforcement | $0 | 0 hrs |
Total (annual) | $0 | 0 hrs |
Total (3-year) | $0 | 0 hrs |
These estimates are based on industry benchmarks (WorldCC). Your actual recovery depends on spend composition, supplier mix, and contract coverage.
No. That’s the whole point of the staged approach. AI-enhanced validation delivers 4-6% recovery using policy-based controls—allowed charge types, supplier-specific caps, formula validations, historical price baselines. No contract parsing required.
We’ll work with your existing APO deployment, ERP integration, and approval workflows. Your AP team keeps what they already know. They just get dramatically better results—higher touchless rates, faster exception resolution, and a recovery pipeline they can actually measure.
Recovery starts the moment validation rules go live. Most organizations see their first prevented overcharges and flagged surcharge violations within the first week of production use.
That’s why evidence matters. Every flagged overcharge includes the validation rule that triggered it—contract clause reference (if applicable), policy table entry, formula calculation, or historical price baseline.
AI-driven validation operates with confidence thresholds and human-in-the-loop controls. Low-confidence extractions and edge-case scenarios route to AP fulfillers for review—exactly like exceptions do today.
The difference: instead of your team manually validating every fuel surcharge on every invoice, they only review the 5-10% that fall outside normal patterns or confidence thresholds. The other 90-95% are auto-validated and flow touchless.
Validation rules are also tunable. If a rule generates false positives (flagging valid charges), your AP team adjusts the threshold or adds an exception. If a rule misses overcharges, you tighten the tolerance. Over time, the system learns your spend patterns and accuracy improves.