Revenue Assurance Management Training Course

Duration 5 days 10 modules · 33 contact hours
Level Intermediate Certificate on completion
Who attends Revenue Assurance Managers, Finance Managers and others
Fee from USD 1,100 KSh 95,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 7 Nov 2026 Course code SD-FM-055

Before you join: Participants should understand basic financial statements, revenue, receivables, invoicing and common business-process controls.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Revenue assurance protects earned income by finding and preventing failures between customer activity, pricing, billing, collection and financial reporting. A missing usage record, incorrect tariff, unapproved credit, failed interface or unreconciled payment can produce revenue leakage, customer disputes, misstated receivables and weak management information. These failures commonly span finance, commercial, operations, technology and customer-service teams, making clear ownership and evidence-based controls essential.

This course teaches participants to design and run a structured revenue assurance process. Participants map the order-to-cash chain, identify leakage and fraud risks, build risk-and-control matrices, perform source-to-target reconciliations, test billing and revenue-recognition controls, and investigate exceptions. The course covers data analysis methods including record counts, control totals, SQL joins, stratification, outlier analysis and independent recalculation. It also addresses revenue assurance for telecommunications, utilities, banking fees, subscription services and partner settlements.

Instructor-led sessions combine focused briefings with realistic cases, team analysis, reconciliation simulations and control-design work. Participants apply COSO principles, FMEA scoring, root-cause analysis and IFRS 15 considerations to revenue scenarios. They leave with a reusable revenue assurance toolkit: process maps, a risk-and-control matrix, reconciliation specifications, exception-analysis methods, a remediation register and a 90-day action plan.

The course is suited to finance, internal control, audit, billing, revenue operations and risk professionals who need to detect revenue loss and establish accountable corrective action. It is particularly valuable where revenues depend on high transaction volumes, complex pricing, multiple systems, third-party partners or recurring customer billing.

What you will be able to do

  • Map an end-to-end revenue chain from source event through cash receipt and ledger posting
  • Build a revenue assurance risk-and-control matrix using COSO control principles
  • Perform source-to-target reconciliations using record counts, control totals and exception analysis
  • Test billing, credit, refund and revenue-recognition controls against defined evidence standards
  • Analyse revenue data using SQL joins, stratification, trend analysis and outlier detection
  • Quantify leakage exposure, recovery potential and remediation benefits for prioritised issues
  • Investigate revenue exceptions using root-cause analysis, evidence records and escalation protocols
  • Produce a 90-day revenue assurance action plan with controls, owners and review milestones

Benefits of attending

For you

  • A practical method for tracing revenue loss to process and system failures
  • Stronger ability to challenge billing, credit and refund control evidence
  • Reusable techniques for analysing high-volume revenue transaction exceptions
  • Confidence quantifying leakage, recoveries and control-improvement benefits
  • A structured plan for establishing or improving a revenue assurance function

For your organisation

  • Earlier detection of unbilled, underbilled and incorrectly adjusted revenue
  • Better evidence supporting billing accuracy and revenue-recognition controls
  • Lower customer complaints arising from incorrect invoices, credits and refunds
  • Clearer ownership of revenue exceptions, remediation actions and overdue issues
  • Prioritised assurance activity based on financial exposure and control weakness

Course modules

10 modules over 5 days

Participants can define revenue assurance scope and map the full revenue chain.

  • Revenue assurance scope distinguished from credit control, collections and external audit
  • End-to-end revenue chain mapped from event capture through cash receipt
  • Leakage, underbilling, overbilling and fraud classified by revenue process stage
  • Materiality thresholds set using revenue exposure, likelihood and control confidence
  • Assurance objectives linked to customer fairness, reporting accuracy and cash
  • Telecom, utility, banking-fee and subscription examples compared

Participants can document revenue processes, accountabilities and data movements for assurance testing.

  • Order-to-cash process maps expose hand-offs, systems and control owners
  • BPMN swimlanes document sales, provisioning, billing, payment and accounting responsibilities
  • RACI matrices assign accountability for exceptions, remediation and sign-off
  • Data lineage traces source events through rating, invoicing and general ledger
  • Control objectives specified for completeness, accuracy, validity, timeliness and authorization
  • Process narratives identify manual workarounds and undocumented revenue adjustments

Participants can assess revenue risks and specify controls with testable evidence requirements.

  • COSO principles translated into preventive, detective and corrective revenue controls
  • Risk-and-control matrices connect failure modes with tests and evidence
  • FMEA scoring prioritises leakage scenarios by severity, occurrence and detectability
  • Key control indicators establish thresholds, ownership, escalation and reporting frequency
  • Segregation-of-duties conflicts assessed across tariff changes, credits and write-offs
  • Residual risk ratings support assurance plan approval and resource allocation

Participants can reconcile revenue data flows and identify exceptions requiring investigation.

  • Source-to-target reconciliation compares operational events, billing records and ledger postings
  • Record-count, hash-total and control-total checks test interface completeness
  • SQL joins isolate unmatched records, duplicates and missing mandatory attributes
  • Exception populations stratified by value, age, product, channel and customer segment
  • Data-quality rules test validity, uniqueness, timeliness, consistency and referential integrity
  • Sampling plans distinguish exploratory testing from statistically defensible control testing

Participants can test billing accuracy, pricing controls and revenue-recognition treatment.

  • Usage-event completeness tested between network, mediation, rating and billing systems
  • Tariff tables reconciled against approved pricing, contract and product-master records
  • Billing accuracy verified through independent rerating and invoice recalculation
  • Credits, discounts and adjustments analysed for approval, reason-code and trend exceptions
  • Unbilled revenue and deferred income tested against IFRS 15 obligations
  • Revenue recognition cut-off tested around activation, delivery, cancellation and period-end

Participants can test controls over receivables, cash allocation, refunds and partner settlements.

  • Invoice-to-cash reconciliations match billings, receivables, collections, bank receipts and ledger
  • Payment allocation exceptions reveal unapplied cash, duplicate postings and stale balances
  • Write-off controls tested against approval limits, aging and recovery evidence
  • Partner settlements reconciled using contract terms, usage data and remittance statements
  • Intercompany charges examined for transfer-pricing support and elimination accuracy
  • Refund workflows tested for duplicate payment, fraud indicators and authorization

Participants can identify suspicious revenue patterns and manage structured exception investigations.

  • Revenue fraud typologies distinguish internal manipulation, customer abuse and partner misconduct
  • Benford analysis screens unusual credit, refund and adjustment value distributions
  • Trend, ratio and outlier analysis identify abnormal revenue or usage patterns
  • Rule-based alerts combine thresholds, velocity checks and exception reason codes
  • Fraud case triage preserves evidence, assigns ownership and records disposition
  • Investigation protocols separate suspected fraud from process error and dispute

Participants can quantify revenue exposure and prioritise remediation by financial impact.

  • Leakage quantified using gross exposure, recovery probability and correction timing
  • Annualised benefit estimates separate prevented loss, recovered revenue and avoided cost
  • Root-cause analysis uses five whys, fishbone diagrams and Pareto prioritisation
  • Business cases compare remediation cost, control effectiveness and payback period
  • Materiality-based prioritisation ranks initiatives by financial impact and implementation effort
  • Recovery tracking distinguishes billed, collected, disputed and written-off amounts

Participants can establish governance, reporting and quality-review arrangements for assurance activity.

  • Assurance plans schedule recurring controls, thematic reviews and targeted investigations
  • Three Lines Model clarifies operational, risk and internal audit responsibilities
  • Dashboard design links leakage indicators with owners, targets and escalation status
  • Monthly governance packs report exposures, recoveries, overdue actions and emerging risks
  • Issue registers document root cause, remediation date, owner and validation evidence
  • Quality assurance reviews test repeatability, documentation quality and reviewer independence

Participants can define an operating model and prepare a practical implementation plan.

  • Revenue assurance operating model defines mandate, scope, skills and reporting lines
  • 90-day action plans sequence quick wins, data requirements and control improvements
  • Control test calendars assign frequencies, evidence standards and reviewer responsibilities
  • Stakeholder engagement plans address finance, operations, technology, legal and customer service
  • Remediation roadmaps specify milestones, dependencies, benefits and residual-risk acceptance
  • Personal application commitments identify first reviews, sponsors and progress measures

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. End-to-end revenue chain map template
  2. Revenue risk-and-control matrix
  3. Source-to-target reconciliation specification
  4. Revenue exception investigation checklist
  5. Leakage quantification and recovery model
  6. 90-day revenue assurance action plan

Who should attend

  • Revenue Assurance Managers — need repeatable controls, testing methods and reporting structures
  • Finance Managers — need confidence in billing, receivables and reported revenue
  • Internal Auditors — need focused methods for testing revenue-process control failures
  • Billing and Revenue Operations Managers — need to reduce invoice errors and unbilled activity
  • Risk and Compliance Professionals — need to assess revenue risks and remediation evidence
  • Data Analysts — need to identify revenue exceptions from transaction-level records

Skills and tools covered

Revenue leakage analysisControl designReconciliation testingBilling assuranceException investigationRemediation governance

Tools and standards

COSO Internal Control—Integrated Framework, ISO 31000 Risk Management, IFRS 15 Revenue from Contracts with Customers, FMEA

How the course runs

Training methodology

The course uses short instructor briefings to establish methods, followed by case work based on billing failures, missing transactions, payment exceptions and incorrect revenue treatment. Participants work in groups to map processes, assess risks, inspect reconciliation outputs and evaluate control evidence. Simulations use realistic exception reports and transaction scenarios to practise investigation and escalation decisions. Facilitated discussion compares approaches across telecommunications, utilities, subscription services and financial services. Each participant completes application planning for their own revenue process, controls and priority risks.

Requirements and prerequisites

Participants should understand basic financial statements, revenue, receivables, invoicing and common business-process controls. Experience in finance operations, billing, internal audit, risk, customer operations, technology operations or data analysis is helpful. Participants should be comfortable reading spreadsheets and interpreting transaction data. Prior exposure to reconciliations or control testing is useful but not essential. The course does not require an accounting qualification, programming expertise, prior revenue assurance experience or detailed knowledge of telecommunications systems. SQL concepts are introduced as analysis techniques rather than taught as a programming course.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

You should understand basic revenue, invoicing, receivables and financial controls. Prior revenue assurance, audit or SQL experience is helpful but not required.

Bring a laptop if attending in person, plus examples of non-confidential revenue-process issues you want to address. Course materials and case data are provided.

It suits professionals responsible for revenue assurance, finance operations, billing, internal audit, risk, data analysis or customer billing quality. It is intended for practitioners with some workplace experience rather than complete beginners.

Financial accounting courses focus on accounting treatment and reporting, while internal audit courses address audit methodology across many processes. This course concentrates on finding, quantifying and preventing revenue loss across transaction, billing, payment and reporting flows.

You can use the templates to map one revenue stream, identify control gaps and define reconciliation tests. The 90-day action plan helps convert findings into owned remediation actions and reporting milestones.

Each training day runs from 08:30 to 16:30 and provides about 6.5 contact hours. Time is divided among instructor input, case analysis, group work, simulations, discussion and application planning.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.

Ask on WhatsApp info@skillsetdevelopment.com

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