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ERP Use CasesTier 1Published March 18, 2026

Generate and Distribute AR Aging Report

Generate and Distribute AR Aging Report for US and UK finance teams: ERP requirements, controls, audit evidence, data model, APIs, state transitions, and implementation checks.

AR Reporting is where ERP discipline either begins or breaks.

Generate and Distribute AR Aging Report looks operational from far away. In a real finance team, it is a chain of assertions: the right actor started the work, the required records existed, the control policy was applied, the state change was preserved, and the outcome can be explained later without rebuilding the transaction from emails and spreadsheets.

The expected business outcome is specific: Management has real-time visibility into collections exposure; DSO trend is trackable week-over-week; collections team has a daily prioritized work queue.

The control flow a finance team actually needs.

Workflow map showing control steps, exceptions, and evidence for this ERP process.Aging Be Point-I...Start conditionBucket Boundarie...Required checksDSO Update Dynam...Owner and SLADrill-Down Reach...System updateExport Formats: ...Exception handlingAudit packetEvidence trailException loopAR Reporting should preserve every override and rejection.
Workflow map for this ERP process, including exception handling and audit evidence.

Step 1

Aging Be Point-In-Time Reproducible

Step 2

Bucket Boundaries Be Configurable

Step 3

DSO Update Dynamically As AR And...

Step 4

Drill-Down Reach Individual Invoice Level

Step 5

Export Formats: CSV, PDF, XLSX

The ERP surface involved.

Module

AR Reporting

Actors

AR Manager, CFO, Finance System

Tier

Tier 1

Finance area

Accounts Receivable & Order-to-Cash

Region lens

US and UK finance teams

Publication date

March 18, 2026

Aging must be point-in-time reproducible (same as-of date always returns same result); bucket boundaries must be configurable; DSO must update dynamically as AR and revenue change; drill-down must reach individual invoice level; export formats: CSV, PDF, XLSX; scheduled distribution must support multiple recipients and cron expression; report must exclude fully paid and voided invoices; non-functional: report for 50,000 open invoices < 5 seconds.

US and UK teams have different compliance hooks, but the same control problem.

US teams usually care about clean evidence for audit support, vendor records, payment controls, tax reporting, and management review. UK teams usually care about VAT-ready records, approval evidence, digital-record discipline, and traceable postings. The country-specific details differ, but the operating pattern is the same: the ERP needs controlled records, explicit ownership, defensible state changes, and evidence that survives beyond the person who completed the task.

The control matrix.

Control areaRequirementAcceptance proof
Control 1Aging must be point-in-time reproducible (same as-of date always returns same resultGiven open AR invoices across multiple customers
Control 2bucket boundaries must be configurablewhen AR manager requests aging report as-of a specific date
Control 3DSO must update dynamically as AR and revenue changethen system returns invoices bucketed into 0-30, 31-60, 61-90, 91-120, 120+ days from due_date, with DSO computed as (AR / (revenue/365)) × 365, report is reproducible for same as-of date, and paid/voided invoices are excluded
Control 4drill-down must reach individual invoice levelnegative) when as-of date is in the future then 422 INVALID_AS_OF_DATE is returned.
Control 5export formats: CSV, PDF, XLSXManagement has real-time visibility into collections exposure; DSO trend is trackable week-over-week; collections team has a daily prioritized work queue.
Control 6scheduled distribution must support multiple recipients and cron expressionManagement has real-time visibility into collections exposure; DSO trend is trackable week-over-week; collections team has a daily prioritized work queue.

Audit evidence is a chain, not a folder.

Evidence layerWhat should be preserved
Business eventAR manager requests an aging report for a specific entity as-of a chosen date; the system computes each open invoice's age in days from due date, buckets into 0 - 30, 31 - 60, 61 - 90, 91 - 120, 120+ columns, and groups by customer; totals per bucket and grand total are displayed and exportable; report includes DSO (Days Sales Outstanding) computed as (average AR / annual revenue) × 365; manager drills into a customer bucket to see individual invoices; report can be scheduled for automatic email distribution to CFO.
Control rulesAging must be point-in-time reproducible (same as-of date always returns same result); bucket boundaries must be configurable; DSO must update dynamically as AR and revenue change; drill-down must reach individual invoice level; export formats: CSV, PDF, XLSX; scheduled distribution must support multiple recipients and cron expression; report must exclude fully paid and voided invoices; non-functional: report for 50,000 open invoices < 5 seconds.
Acceptance proofGiven open AR invoices across multiple customers; when AR manager requests aging report as-of a specific date; then system returns invoices bucketed into 0-30, 31-60, 61-90, 91-120, 120+ days from due_date, with DSO computed as (AR / (revenue/365)) × 365, report is reproducible for same as-of date, and paid/voided invoices are excluded; (negative) when as-of date is in the future then 422 INVALID_AS_OF_DATE is returned.
Data record
ar_aging_report { as_of_date: date, entity_id: string, generated_at: timestamp, dso: decimal, total_ar_minor: int64, currency_code: char(3), buckets: jsonb };
ar_aging_line { report_id: string, customer_id: cust_*, invoice_id: invoice_*, days_overdue: int, bucket: enum, balance_due_minor: int64, currency_code: char(3) };
(reference, product may differ).
System event
GET /v1/reports/ar-aging?as_of_date=&entity_id=&currency_code= -> 200 { dso, buckets: {0_30, 31_60, 61_90, 91_120, 120_plus}, lines[] };
GET /v1/reports/ar-aging/export?format=csv|pdf|xlsx;
emits ar.report.aging.generated;
scheduled via cron config.
Lifecycle state
GENERATING -> READY;
report snapshots are immutable once READY;
same as-of date always returns same result.

The useful version of this workflow is not only fast. It is inspectable. A controller, auditor, or operator should be able to move from source event to system record to state transition to final business outcome without guessing.

Implementation contracts.

Reference data model

`ar_aging_report` { as_of_date: date, entity_id: string, generated_at: timestamp, dso: decimal, total_ar_minor: int64, currency_code: char(3), buckets: jsonb }; `ar_aging_line` { report_id: string, customer_id: cust_*, invoice_id: invoice_*, days_overdue: int, bucket: enum, balance_due_minor: int64, currency_code: char(3) }; (reference, product may differ).

API and events

`GET /v1/reports/ar-aging?as_of_date=&entity_id=&currency_code=` -> 200 { dso, buckets: {0_30, 31_60, 61_90, 91_120, 120_plus}, lines[] }; `GET /v1/reports/ar-aging/export?format=csv|pdf|xlsx`; emits `ar.report.aging.generated`; scheduled via cron config.

State transitions

`GENERATING -> READY`; report snapshots are immutable once READY; same as-of date always returns same result.

Common implementation traps.

Treating the workflow as data entry

If the ERP only stores the final record, the team loses the decision trail that explains how the record became valid.

Hiding exception logic

Exceptions need owners, reason codes, and time stamps. A vague pending state is not a control.

Posting without recovery design

Retries, duplicate submissions, and partial failures must be explicit so the system does not create inconsistent records.

Skipping evidence design

A workflow that cannot produce evidence on demand will eventually push finance teams back into manual screenshots and spreadsheets.

Where Rivane fits.

Rivane is built for finance workflows where automation must stay tied to source documents, approvals, state transitions, ledger impact, reporting, and audit evidence. Use this guide as a checklist for evaluating whether an ERP workflow is merely digitized or actually controlled.

References and source basis.

These sources provide the standards, regulatory, or government context around the flow. They are included so the guide is useful to finance operators, auditors, and implementation teams, not only buyers reading software copy.

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