Transforming Airtime Reconciliation into Real-Time Margin Intelligence

Customer Overview

A global satellite communications provider manages a complex airtime business involving multiple network vendors, subscription models, usage-based billing structures, and customer-specific agreements.

As transaction volumes and vendor relationships grew, the organization needed a more automated and transparent way to reconcile vendor costs against customer revenue, protect margins, and maintain financial control at scale.

The Challenge

Financial reconciliation had become resource-intensive and difficult to scale. Vendor invoices were received in varied formats, billing cycles differed across providers, and multiple subscription models added complexity to margin calculations. Reconciling vendor charges against IBIS sales data required significant finance and operations effort, delaying financial reporting and profitability analysis.

Due to lack of standardized reconciliation framework, the organization had limited visibility into billing variances, margin exceptions, and profitability risks as vendor relationships, customer volumes, and transaction activity continued to grow.

The organization faced several challenges:

Heavy manual effort across finance and operations teams

Delayed visibility into margins, profitability, and payout readiness

Risk of revenue leakage, overbilling, and negative-margin transactions

Complexity in advance subscriptions and pooled billing models

Inconsistent validation of vendor rates against agreed terms

Rising operational effort as vendors and transaction volumes increased

The Solution

Scry AI implemented its Financial Accounting and Reconciliation solution to create a centralized financial control framework for the organization’s airtime business. The solution automated reconciliation across vendor invoices, IBIS sales data, billing models, and margin calculations.

Centralized Reconciliation Framework

The solution converted reconciliation from a month-end manual activity into an automated financial control process. Vendor invoices and IBIS sales data were processed in their native formats and standardized into a single financial view.

Device-Level Matching

Using Device IDs and ICCIDs as unique identifiers, the platform traced every charge, subscription, and revenue stream to a single source of truth. This reduced ambiguity and enabled accurate matching across diverse vendor billing structures.

Support for Complex Airtime Billing Models

The solution handled advance subscriptions, pooled plans, pro-rata allocations, and varying billing cycles. This ensured margin calculations reflected the correct revenue and cost impact for each billing period.

Vendor Rate and Contract Validation

Vendor charges were automatically validated against approved rates and contractual terms. This helped identify overbilling, rate mismatches, missing transactions, and abnormal profitability patterns.

Results at a Glance

Metric	Outcome
Reconciliation Automation	90-95% automation of reconciliation workflows
Data Matching Accuracy	98-99% automated matching accuracy post-training
Processing Efficiency	Significant reduction in manual reconciliation effort
Financial Accuracy	Eliminated manual errors in reconciliation and margin calculations
Turnaround Time	Faster processing of multi-vendor, multi-format invoices
Data Quality	Improved completeness through automated data validation and enrichment
Profitability Insights	Enhanced vendor-level and invoice-level margin visibility
Financial Governance	Stronger control over vendor billing and rate compliance

Strengthening Financial Governance Through Intelligent Reconciliation

Scry AI’s Financial Accounting and Reconciliation solution helped the organization automate complex airtime reconciliation and improve margin visibility at scale. With device-level matching, vendor rate validation, and exception-based oversight, the business gained stronger financial control, faster reporting, and greater confidence in profitability decisions.

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