High-Value Treasury Transfers: Step-Up Only When Needed
JIL improved straight-through processing while preserving strict controls through risk-tiered step-up authentication.
Benchmark-based analysis
Security everywhere kills conversion. Security at the right moment wins, and is provable.
Automation increased speed but introduced risk when compromised identities attempted high-value transfers.
- Improved STP without removing control points (target KPI)
- Reduced escalations using deterministic step-up rules
- Produced evidence packs for SOX-style internal controls
Why this problem persists
Corporate treasuries automate for efficiency, but blanket automation removes the control points that catch compromised credentials. High-value transfers need proportional friction - not binary approve/deny. In this scenario, the treasury team had implemented straight-through processing for speed, but discovered that compromised credentials could authorize high-value transfers without additional verification. The binary choice between full automation and full manual review left no middle ground for risk-proportional controls.
The JIL approach
JIL applied risk-tiered step-up rules: low-value transfers proceed with standard attestation, while high-value or unusual transfers trigger additional verification. All decisions produce evidence packs suitable for SOX-style internal controls. The step-up engine evaluated each transfer against configurable risk tiers - amount thresholds, destination novelty, time-of-day patterns, and velocity checks. High-risk transfers triggered proportional step-up authentication without blocking low-risk flows.
Every settlement event produces verifiable evidence
Before vs After
- Binary approve/deny
- Blanket automation risk
- No proportional controls
- Manual escalation to managers
- Risk-tiered step-up
- Proportional friction
- SOX-ready evidence packs
- Deterministic escalation rules
What Made the Difference
Risk-tiered step-up
applies friction proportional to transaction risk
Deterministic rules
remove subjective escalation decisions
Evidence packs
satisfy SOX-style internal control requirements
Intent attestations
prove the authorized person approved the exact instruction
Deployment path
Deploy step-up rules across all treasury corridors, integrate with TMS approval workflows, and automate quarterly control evidence extraction.
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.