instapay - Payment Processing Company

A national payment processing company deployed the AZMO Engine to absorb Tier-1 support, onboarding workflows, and internal operations previously handled by account managers and support staff.

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Case image
Case image

The Challenge

Instapay processes high volumes of financial data across reporting periods, accounts, and merchant portfolios.

As volume grew, monthly reporting relied on manual spreadsheet work, reconciliations, and back-and-forth approvals between teams.

This created structural issues:

• Reporting speed was constrained by human throughput

• Manual entry introduced avoidable errors

• Visibility into live financial performance lagged behind reality

The operation needed reporting to become system-owned, not spreadsheet-driven.

Engine Deployment

The AZMO Engine was deployed to take ownership of recurring financial reporting execution.

Execution responsibility was transferred from humans to the system across:

• Data ingestion and normalization

• Validation and anomaly detection

• Report generation and distribution

• Approval routing and exception handling

Rules, thresholds, and validation logic were encoded directly into the engine, allowing reporting workflows to execute autonomously while escalating only true exceptions for review.

Human involvement shifted from preparing reports to reviewing system outputs.

Results in Production

• 80%+ faster monthly reporting cycles

• Manual spreadsheet work eliminated from core reporting

• Real-time error detection and validation

• Improved accuracy and operational confidence

Financial reporting is now system-driven, repeatable, and observable - no longer dependent on manual coordination or individual operators. This deployment established the reference architecture for system-owned financial reporting inside the AZMO Engine.

60% reduction in support ticket volume

60% reduction in support ticket volume

Faster merchant onboarding and issue resolution

Faster merchant onboarding and issue resolution

Lower operational cost without service degradation

Lower operational cost without service degradation

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