Revenue assurance, finance control and billing operations teams

Find the service that was provisioned and charged but left unbilled

Month end. Provisioning says a service is live. Charging says it was charged. The bill says something else, and each system is right about itself.

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The product that runs it: Revenue, Risk and Assurance Explore the stream: Revenue Assurance & Reconciliation

Reconciles three sample ledgers end to end; exposure is modelled, and recovery is finance's.

Seen by the customer · Finance workbench

From the record, not a run: what would reach them, on Finance workbench.

The case

Annotated from the record

What happened

Month end: the provisioning system says a service is live, the charging system says it was charged, and the bill says something else.

Month end. Provisioning says a service is live. Charging says it was charged. The bill says something else, and each system is right about itself.

What it reads

Extracts from provisioning, charging and billing
Matching keys and their quality
Known differences and their reasons
Ownership by exception type

Checks before anything is sent

Source completeness, matching-key quality, known-difference suppression and ownership checks pass.

Every option considered, including doing nothing

An exception with a value, routed to the owner for correctionConsidered
A known difference, suppressed with its reasonConsidered
A source re-extract, where completeness failsConsidered
No action, where the ledgers agree within toleranceConsidered

Doing nothing is one of the outcomes, and it is recorded with its reason. The options are the record's own; a run decides between them.

Evidence record

Preview

Reference: The reference of the saved run.
Decision: One of the options, including no action, with the reason.
Checks: Source completeness, matching-key quality, known-difference suppression and ownership checks pass.
Evidence kept: Source extracts
matching rules
exception list with values
owner assignment
correction record
the revenue
outcome ledger
The measures: Revenue recovered or prevented, against the exceptions written off.
Connection: Written on every record: the systems the run read, and the sample it ran on.

The shape of the record, with no values. A reference appears only after a run is saved.

The improvement, and how it is measured

Hypothesis

Revenue found at month end is recovered; revenue found by the auditor a year later is a write-off with a footnote.

Modelled

A run on the sample records shows the decision, the checks it passed and the receipt the responsible system would return; incremental value is measured in the pilot.

Observed

Measured in a pilot’s validate stage, on your systems, against a comparison agreed first.

The result, the mechanism, the measurement, and the record’s five answers

Desired result

Incremental revenue or retention; lower contact waste; improved conversion with margin guardrails

Mechanism

Ingest → qualify → score → apply limits/consent → assign control → execute approved action → capture delivery and business outcome → monitor/retrain

Measurement

Randomised holdout where feasible; intent-to-treat primary view; pre-declared denominator; guardrails for complaints, margin and opt-out

Measured on: Eligible population; treatment rate; conversion; incremental revenue; ARPU; churn; contact rate; margin; opt-out; decision latency

01
Desired result
The result wanted.
Incremental revenue or retention; lower contact waste; improved conversion with margin guardrails
02
Mechanism
The mechanism that could produce it.
Ingest → qualify → score → apply limits/consent → assign control → execute approved action → capture delivery and business outcome → monitor/retrain
03
Evidence required
The records kept to show it.
Decision log; eligibility snapshot; price/order response; delivery receipt; control assignment; revenue/outcome ledger
04
Costs and risks
The cost, and the ways it can go wrong.
Costs: Setup fee + annual product subscription; optional managed execution fee; optional verified-outcome fee with agreed baseline
If it fails: Fail closed on eligibility/consent/price; queue retryable events; do not duplicate orders; route exception to campaign operations
05
Measurement approach
The measure that shows it helped.
Randomised holdout where feasible; intent-to-treat primary view; pre-declared denominator; guardrails for complaints, margin and opt-out
Measured on: Eligible population; treatment rate; conversion; incremental revenue; ARPU; churn; contact rate; margin; opt-out; decision latency

A saved run keeps the decision and its receipt: what was decided, which checks refused, and what the responsible system returned. It does not show incremental value. That needs the comparison above, over an agreed period, against a baseline finance has accepted.

The business side

The change: Revenue recovered or prevented, against the exceptions written off.
Running cost: Setup fee + annual product subscription; optional managed execution fee; optional verified-outcome fee with agreed baseline
What evidence supports it: Source extracts, matching rules, exception list with values, owner assignment, correction record and the revenue and outcome ledger.

The journey in detail

Step by step, from both sides

Step	What the customer experiences	What the operator does
The momentThe moment that started it.	Month end: the provisioning system says a service is live, the charging system says it was charged, and the bill says something else.	Reads extracts from provisioning, charging and billing, matching keys and their quality, known differences and their reasons, ownership by exception type.
The decisionThe decision to be made.	The customer's screen is unchanged.	Reconciles expected against actual across the three ledgers, quantifies each difference as an exception and assigns it an owner.
The safeguardsThe conditions that stop it.	Still unchanged: the action waits until every check has passed.	Source completeness, matching-key quality, known-difference suppression and ownership checks pass.
The actionThe action that reaches the customer.	Route each exception to its owner for correction in the billing or charging system; suppress the known differences with their reason. Reaches them on Finance workbench.	Recommends. The system that holds the right confirms, charges or provisions.
When it goes wrongThe failure, and the recovery.	A matching key changed format in one system and half the month's records fall out as exceptions that are not real.	The matching-key quality check fails the run before the exceptions are assigned, the key mapping is corrected, and the re-run is compared with the first so the false exceptions are shown as such.
The resultThe change it made.	What changed for them is what is counted; nothing else is claimed.	Revenue recovered or prevented, against the exceptions written off.
The proofThe proof anyone can check.	Can be answered for, later, from the record.	Source extracts, matching rules, exception list with values, owner assignment, correction record and the revenue and outcome ledger.

Operator systems remain authoritative. HeuriTel reads these to propose an action; it does not decide on their behalf.

The failure, and the recovery

What goes wrong

A matching key changed format in one system and half the month's records fall out as exceptions that are not real.

What happens then

The matching-key quality check fails the run before the exceptions are assigned, the key mapping is corrected, and the re-run is compared with the first so the false exceptions are shown as such.

The products in this journey

Runs the decision
Revenue Assurance & Reconciliation
Expected and actual records are reconciled across charging, billing, provisioning, entitlements, wallets, partners, roaming and interconnect; each exception is quantified, given an owner and closed with the value recovered or prevented on record.
Contributes
Operations, Finance & Back Office
the finance forecast that leakage distorts
Contributes
Digital Commerce & Partner Ecosystem
the partner settlements reconciled on the same footing
The definition it demonstratesHeuriTel Billing Reconciliation
Results it movesReduce avoidable service cost · Reduce fraud and identity risk

See it run

The demonstration follows the same journey end to end: what the customer sees, what the operator decided, and the evidence behind it.

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