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Home/Case Studies/Custodian-to-Custodian: Exception Reduction

Custodian-to-Custodian: Exception Reduction

JIL reduced operational exceptions by enforcing pre-settlement integrity checks and producing receipts that unify ops + compliance.

Scenario Profile
Custody Ops Program (Scenario)
Region
Global
Industry
Custody / Institutional Ops
Products Used
Settlement Router + Receipts + Policy Controls
Benchmark + Modeled Impact

Benchmark-based analysis

📊
Industry Benchmark (AFP 2024)
With 79% of orgs facing attempted/actual payments fraud (2024 data), exception pressure and manual review load rises across operations.
⚙️
Mechanism
Pre-settlement checks + deterministic receipts + pause semantics on mismatches.
📈
Modeled Impact
Receipts + enforceable checks can reduce exception handling time by 25-70% (modeled; depends on baseline exception rate).
🧮
Savings Formula
Estimated cost avoided = exception workload cost x (25-70%).
Evidence Produced
Receipt timeline + policy outcomes + export pack.
$16.6B
FBI IC3 2024 Total Losses
$2.77B
BEC Losses (21K complaints)
79%
Orgs Hit (AFP 2024)
$4.60
Per $1 Fraud (LexisNexis)
Why JIL Wins

Institutions buy lower exceptions, faster reconciliation, and audit-grade receipts, not marketing.

Problem

Mismatched instructions and late confirmations created expensive reconciliation cycles.

Expected Outcomes
  • Reduced exceptions by enforcing pre-settlement proofs (target KPI)
  • Shortened reconciliation cycles with standardized receipts
  • Improved audit readiness with exportable evidence
The Industry Problem

Why this problem persists

Custodian-to-custodian settlement relies on matched instructions. When details do not match - amounts, reference numbers, beneficiary names - exceptions are generated that require manual investigation, delaying settlement and increasing operational cost. In this scenario, the custody ops team was spending significant resources on exception handling: tracking down mismatches, reconciling discrepancies, and documenting resolutions for audit. Each exception required multiple touchpoints across operations, compliance, and counterparty teams.

How JIL Solves This

The JIL approach

JIL enforced pre-settlement integrity checks: both parties must submit matching instruction details before execution proceeds. Receipts standardize the evidence trail, giving ops and compliance a single source of truth. The matching engine compared instruction fields at submission time, rejecting mismatches before they could create downstream exceptions. When both parties submitted matching details, settlement proceeded with a deterministic receipt that documented the matched fields, policy checks, and execution timestamp.

Scenario Parameters
CorridorCustodian-to-custodian settlement
Monthly VolumePilot cohort
Risk ClassMedium
IntegrationsCustody platform + reconciliation system
Evidence OutputsReceipt + matching confirmation + policy log
Receipts & Proof Produced

Every settlement event produces verifiable evidence

📜
Settlement Receipt
📝
Intent Attestations
📋
Policy Log
📦
Audit Export

Before vs After

Before JIL
  • Mismatched instructions
  • Late confirmations
  • Manual reconciliation
  • Expensive exception handling
After JIL
  • Pre-settlement matching
  • Deterministic confirmation
  • Standardized receipts
  • Automated reconciliation

What Made the Difference

Pre-settlement integrity checks

catch mismatches before execution

Standardized receipts

eliminate reconciliation ambiguity

Single source of truth

unifies ops + risk + compliance

Exportable evidence

simplifies audit and regulatory reporting

Next Steps

Deployment path

Extend matching rules to all custodian corridors, integrate with SWIFT MT and ISO 20022 messaging, and deploy automated exception routing.

Benchmark-Based Modeled Impact: The "Modeled impact" estimates above are derived from public benchmarks and the control changes enabled by JIL Sovereign. Actual outcomes vary by corridor coverage, policy configuration, counterparties, and operating environment.

Ready to see JIL in your environment?

These scenarios demonstrate deployed JIL capabilities against documented industry problems. Define your corridor, configure your policies, and run a proof of concept.