Measure How Billing Exceptions and Disputes Are Handled and Identify Where to Reduce Cost and Revenue Leakage

Pyze measures how bill-run exceptions, billing disputes, usage and rating discrepancies, adjustment approvals, collections and revenue leakage investigations are performed, and identifies where automation and AI agents apply.

1 week
to instrument, no workflow change
5
levers separated before anything is built
6
billing and revenue assurance process areas measured
6 weeks
to a priced opportunity register

Engagement archetypes from Pyze deployments across telecommunications, energy and utilities operations rather than a single named account.

In telecommunications, energy and utilities, billing operations teams resolve the cases that the bill run and the rating engine do not resolve themselves: held bills, usage records that fail validation, rating mismatches, disputed charges, adjustment requests and accounts moving into collections. The billing platform records the exceptions, but the investigation of each one takes place across the mediation platform, the CRM, the ERP and spreadsheets. Pyze measures that work.

Common Findings in Billing and Revenue Assurance

Four patterns that recur across engagements, each shown with the measurement and the resulting change.

Each bill run produces held bills and validation exceptions that are cleared by analysts before invoices can be released.

Automate
What the measurement shows

Pyze measures the time analysts spend on each exception type and the sequence of billing, mediation and customer systems they use to establish the cause. Exception types that are resolved by the same steps each cycle are identified.

What changes

Recurring exception causes are cleared by rule before the release deadline, and the remaining exceptions are routed to analysts with the cause and related records attached.

Billing disputes are investigated by retrieving the charge, the usage and the rate plan from separate systems before a response can be given.

Agentify
What the measurement shows

Pyze measures the effort per dispute by type and the number of systems consulted, and identifies how many disputes are resolved by an explanation that the record already supports.

What changes

Disputes are answered from the billing record where the charge is supported, and disputes that require an adjustment arrive with the evidence assembled.

Credit and adjustment requests pass through approval tiers that apply the same review to requests of very different type and value.

Simplify
What the measurement shows

Pyze measures the elapsed time at each approval tier and the rework between request and decision. The request types that follow a consistent approval outcome are identified.

What changes

Approval tiers are tuned by request type against measured outcomes, so that routine requests follow a shorter path under the existing delegation of authority.

Revenue leakage investigations begin with analysts comparing usage, rating and billed amounts in spreadsheets.

Standardize
What the measurement shows

Pyze measures the effort analysts spend extracting and reconciling data across the mediation platform, the rating engine and the general ledger, and the steps that repeat in each investigation.

What changes

The reconciliation path used by the most effective analysts is documented, and the repeated extraction and comparison steps are identified for automation.

Opportunity Register

A sample register, sorted by the lever that resolves each opportunity. In an engagement, each line carries measured hours, a named owner and the evidence it was derived from.

Bill-run exception clearance
Automate
Recurring causes cleared by rule, with the remainder routed with the cause attached.
Billing dispute response
Agentify
Answered from the billing record where the charge is supported, with evidence assembled for adjustments.
Credit and adjustment approval
Simplify
Approval tiers tuned by request type against measured outcomes.
Collections prioritization and contact
Agentify
Accounts prioritized from the payment record, with contact drafted for the collector to review.
Revenue leakage reconciliation
Standardize
Reconciliation path documented from effective analysts and the repeated steps automated.
Automate and Agentify are distinct findings. Scheduling a report is deterministic work with a stated rule. Diagnosing an exception is a decision. Separating the two prevents a register from over-scoping the first and missing the second.

Systems typically instrumented

Billing and rating platformsMediation platformsSalesforceSAP and OracleServiceNowCase management toolsExcel and Outlook

Capture covers browser-delivered and thick-client applications, including virtualized estates, with no change to how anyone works.

Roles Involved

Billing operationsRevenue assuranceCollections and creditCustomer disputes and adjustmentsOperational excellence

Instrumentation is configured per application rather than per person, so the population in scope is set during scoping and is not a deployment constraint.

How an Engagement Runs

Baseline, blueprint, transform, prove

The same four stages apply in every sector. The fourth stage repeats the baseline measurement, which makes the engagement an ongoing operating capability rather than a one-time report.

01

Baseline

What the work costs today, measured across every person and application.

02

Blueprint

Procedures, application rules and execution evidence, read as one target state.

03

Transform

Where each of the five levers applies, priced and owned.

04

Prove

The after state measured against the baseline, using the same method.

Frequently Asked Questions

We have revenue assurance tooling that detects leakage. What does this add?
Revenue assurance tooling identifies where usage, rating and billing records disagree. Pyze measures the effort of investigating and correcting each case across systems, which allows the cost of the investigation process to be priced and the repeated steps to be identified for automation.
Does this apply to both telecommunications and utilities?
Yes. The stages differ in detail, for example event usage in telecommunications and meter reads in energy and utilities, but the work is similar: exceptions are investigated across a billing platform, a customer system and a finance system, and Pyze measures that work in either sector.
What data does Pyze collect?
Interaction metadata only: application, screen, sequence and timing. Collection is limited to a whitelist of business applications. Pyze never captures keystrokes, field values, free text or screen contents, so no customer account data is collected, and identifiers are pseudonymous.

Associated Titles

VP of Billing OperationsHead of Revenue AssuranceDirector of Revenue OperationsDirector of Billing and CollectionsHead of Credit and CollectionsBilling Operations ManagerRevenue Assurance ManagerDirector of Global Business Services

Industries

Roles

Start with a measured baseline

Six weeks from instrumentation to a priced opportunity register, and the baseline stays in place so later quarters are measured rather than re-estimated.