Payment Exception Tracker

Reduce investigation time on failed payments

Payment exceptions drain operations capacity.

Exception rate threshold breaches trigger alerts

Volume spikes detected within single hour windows

Payment rails breakdown: SWIFT, Fedwire, ACH, SEPA

Hourly trend analysis with historical comparison

Request a DemoSee How It Works

Payment Exception Spike

SWIFT failures up 340% • Last 2 hours

Critical

Exception Rate

4.2%avg 1.1%

Failed Payments

847

Value at Risk

$12.4M

Avg Resolution

47 min

By Payment Rail

SWIFT412 failures

Fedwire298 failures

ACH137 failures

Root Cause Analysis

Correspondent timeoutFormat errorsEscalate to vendor

Built for operations teams
who demand real-time precision

Payment exceptions drain operations capacity. When a wire fails or a SWIFT message stalls, someone must dig through logs and escalate—often manually.

Operations Managers

Operational efficiency & SLAs

Payment Specialists

Exception investigation & resolution

Treasury Teams

Settlement flow management

Compliance Officers

Regulatory adherence & audit

From alert to action in minutes

The objective of this agent is to reduce mean time to resolution for payment exceptions.

Step 1

The Trigger

You define when the agent should activate. When conditions are met, it starts working automatically.

Rate threshold: Exception rate exceeds 2 standard deviations from the 30-day average
Volume spike: More than 50 exceptions accumulate in a single hour
Correspondent alert: Any correspondent bank shows >5% rejection rate in a 4-hour window

Step 2

360° View

The agent opens a tailored dashboard consolidating data from all your systems.

Exception volume by rail — SWIFT, Fedwire, ACH, SEPA, CHIPS
Exception rate trend — hourly rates with historical comparison
Breakdown by error type — format errors, sanctions holds, beneficiary issues

Step 3

Automated Analysis

The agent follows a structured analysis flow, combining checks with exploratory reasoning.

Quantify the spike — Compare current exception rate to baseline; calculate deviation magnitude.
Segment by dimension — Break down by rail, correspondent, currency, and error code.
Identify dominant driver — Flag the factor explaining the largest share of exceptions.

Step 4

Actionable Output

After analysis, the agent creates a human-friendly report with everything your team needs.

Executive summary — Spike magnitude, primary driver, client impact
Root cause analysis — Most likely cause with supporting data
Historical context — Links to similar past incidents

Step 5

Delivery

Reports are sent automatically via email or accessed directly in Veezoo.

Key benefits for operations teams

Concrete, measurable value for your team from day one

Fast Action

Faster root cause identification

Before: 2-4 hours correlating logs manually. Now: structured analysis in minutes with historical context.

Early Warning

Proactive detection

Catch spikes as they develop, not after clients complain.

Key Benefit

Pattern recognition

Surface recurring issues with specific correspondents that manual review might miss.

Up and runningin production in weeks

To deploy this Agent, you connect Veezoo to your existing Data Warehouse, typically containing data from:

Core banking / payment hub — Transaction records, status updates, error codes

SWIFT Alliance or messaging platform — Message logs, exception details

Correspondent banking data — Nostro/vostro account mappings

Client master data — Account ownership, relationship tier, SLA terms

Ready to explore Payment Exception Tracker?

Fully customizable to your workflows, data sources, and business requirements.

Try for freeBook a call

Typical initial implementation in weeks, not months.