UC43: Payment Factory & Netting

The Problem

Multi-entity organizations (subsidiaries, regional offices) often pay vendors independently and send cash to parent companies separately. Cross-company payments in different currencies incur redundant FX conversions and bank fees. Intercompany payables and receivables accumulate without offsetting or netting, tying up working capital unnecessarily. A typical $1B revenue organization processes 100 to 200 intercompany payments per month with 5 to 10% of FX and bank fees that could be eliminated through systematic netting.

What the Agent Does

Ingests intercompany transaction data:
AP records: Vendor payables by subsidiary or cost center, payment due date, currency
AR records: Customer receivables by subsidiary, due date, currency
Intercompany payables: Amounts owed between subsidiaries (loans, service billing, cost allocations)
Intercompany receivables: Amounts due from other subsidiaries
Currency exposure: Open payables and receivables by currency and entity
Identifies netting opportunities:
Bilateral netting: Subsidiary A owes Entity B $100K; Entity B owes Subsidiary A $80K → net payment $20K from A to B
Multilateral netting: Aggregates payables and receivables across 3+ entities to identify optimal payment flows
Currency netting: Subsidiary owes vendor €50K and is owed €40K by customer → nets to €10K EUR exposure
Timing optimization: Groups payments by due date to minimize float and FX exposure windows
Calculates netting benefit:
Fee savings: "Current 200 payments × $15 wire fee = $3K fees. Netting reduces to 50 payments = $750. Savings: $2,250/month = $27K/year."
FX savings: "Current FX exposure: USD 100K, EUR 50K across entities. Netting reduces EUR exposure 20% = $2K FX spread savings."
Working capital: "Netting reduces payables turnover from 45 to 30 days = $[X]M working capital freed."
Generates optimized payment instructions:
Payment matrix: Shows net payment flows between entities (who pays whom, in which currency, due date)
Execution checklist: Payment method for each flow (ACH for domestic USD, wire for international, etc.)
Approval workflow: Routes for approval based on payment size and approval authority
Tracks payment execution:
Confirms payments executed vs. plan
Reconciles to GL: Match executed payments to AP/AR entries
Reports on actual savings realized vs. plan

Data Requirements

Data Sources:

AP and AR ledgers , Payables and receivables by supplier, customer, entity, and due date
Intercompany transaction records , Outstanding intercompany payables and receivables
FX rate feeds , Current spot rates for currency conversion and fee calculation
Bank fee schedules , Wire, ACH, international fees for cost calculation
Payment approval authority , Approval limits by role and entity
GL account mappings , How intercompany payments map to GL accounts

Data Classification:

Internal Structured: AP/AR detail, intercompany transactions, FX rates, bank fee schedules, GL mappings
Internal Unstructured: Intercompany service agreements, cost allocation methodologies
Sensitive/Regulated: Intercompany pricing (confidential), payment flows between entities (confidential)

Data Quality Requirements:

Timeliness: AP/AR data refreshed at close; FX rates current within 1 hour; intercompany transactions reconciled monthly
Completeness: All intercompany relationships captured; payment due dates documented; FX rates available for all currencies
Accuracy: AP/AR balances reconcile to GL; intercompany transactions agree to both debtor and creditor records

Integration Complexity: Medium , Requires ERP GL query interface (multiple entities), FX rate feed integration, and payment instruction generation. Netting algorithm is straightforward; primary complexity is multi-entity GL consolidation and payment system integration.

Score Breakdown

Criterion	Weight	Score (1-5)	Weighted
Time Recaptured	15%	3	0.45
Error Reduction	10%	3	0.30
Cost Avoidance	10%	4	0.40
Strategic Leverage	5%	3	0.15
Data Availability	15%	4	0.60
Process Clarity	15%	3	0.45
Ease of Implementation	10%	3	0.30
Fallback Available	10%	3	0.30
Audience (Internal)	10%	4	0.40
Composite	100%		3.75

Why It Scores Well

Cost avoidance: FX and bank fee savings = $25K to $100K annually for multi-entity organization. Working capital improvement: Netting reduces intercompany balances and improves cash conversion cycle. Efficiency: Eliminates manual consolidation of intercompany accounts and negotiation of payment flows.

Regulatory Alignment

Transfer pricing documentation: Documented intercompany pricing and netting methodology supports OECD transfer pricing regulations
Regulatory reporting: Intercompany transaction detail supports consolidated financial reporting and regulatory filings

Sprint Factory Fit

Sprint 3 (2 weeks)

Medium complexity due to multi-entity GL consolidation and netting algorithm. Clear process logic. 2-week sprint with ERP connectors pre-built.

Comparable Implementations

Coupa Network , Intercompany transaction management and netting
Kyriba or GTreasury , Payment aggregation and netting modules

Deploy This Use Case with the Sprint Factory

From zero to a governed, production agent in 6 weeks.

Sprint Factory Schedule a Briefing

Related Use Cases

Batch Treasury

Bank Fee Auditor

Score: 4.15/5.0

Batch Treasury

Cash Forecasting & Liquidity Planning

Score: 4.0/5.0

Batch Treasury

Bank Account Management & Signatories

Score: 3.7/5.0