CherryMoney University Training: accounting, invoices, VAT, expenses and AI finance workflows
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Module 16

Capstone: Month-End And Quarter-End Simulation

Students complete a full finance cycle from setup to reporting using seeded simulator data.

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Learning Goals

By the end of this module, learners should be able to complete the workflow in CherryMoney and explain the accounting reason behind each important step.

  • Run an end-to-end CherryMoney workflow independently across accounting, banking, analytics and management review.
  • Create and correct sales records, capture expenses and review AI suggestions.
  • Prepare VAT, expense, payroll, charity or Analytics outputs according to the scenario.
  • Present clear evidence and plain-English reasoning to a reviewer.

Lesson Plan

Use these lesson blocks for lecture delivery, live demo and class discussion.

Scenario briefing

Each student or team receives a business or charity scenario with opening data, deadlines and required outputs.

Independent work

Learners must decide the correct workflow rather than following only step-by-step prompts.

Review and reflection

The final submission includes records, exports and a short explanation of accounting and AI review decisions.

Step-By-Step Lab

This is the student-facing sequence for the practical class. Complete the steps in order, then capture the evidence listed below.

  1. Read the assigned scenario and identify the organisation type, plan, role and reporting deadline.
  2. Complete or confirm onboarding and statutory fields.
  3. Create clients, products, quotes, invoices, payments and one correction.
  4. Capture expenses, imports, duplicates, mileage or fixed assets as required.
  5. Process AI suggestions and document every approve, fix or ignore decision.
  6. Prepare VAT, payroll, expense or charity reports according to the scenario.
  7. Export the evidence pack and write the final plain-English review summary.

Classroom Run Sheet

Use this structure to teach the module in a repeatable classroom or lab session.

Explain
Explain this module Introduce the accounting concept first: customer, invoice, VAT, expense, fund, role or audit trail.
Demonstrate
Demonstrate this module Trainer performs the workflow once in CherryMoney using a projected simulator account.
Practise
Practise this module Students complete the same workflow in their own VM tenant using seeded records.
Review
Review this module Students compare system outputs with expected accounting treatment and discuss errors.
Evidence
Evidence this module Students submit screenshots, exports, PDFs or short explanations for assessment.

Simulator Practice

These are the VM practice tasks for this module. They are written as student-facing tasks and can later be wired into a guided simulator checklist.

Practice Brief

  1. Complete onboarding for the assigned organisation.
  2. Create clients, products, quotes, invoices, payments and one correction.
  3. Import expenses, resolve duplicates and approve or fix AI suggestions.
  4. Prepare VAT breakdown and compliance checklist.
  5. For VCSE scenarios, prepare a restricted fund or donor report.
  6. Where enabled, complete one banking/reconciliation or Analytics/forecasting task before exporting the final evidence pack for assessment.
  7. Export the final evidence pack for assessment.

Knowledge Check

Use these questions for in-class review, a short quiz or a reflective workbook entry. Answers are hidden by default — open each one to check your work.

  1. Q1 What evidence proves the finance cycle was completed? Answer

    The final evidence pack — invoice PDF, payment record, expense report, VAT breakdown, compliance checklist and reflection.

  2. Q2 Which output should be checked before VAT or compliance review? Answer

    The underlying source records for the exact period — sales, purchases, expenses and credit notes — since the VAT breakdown is only reliable once those are confirmed correct.

  3. Q3 How should a learner explain an AI-assisted decision? Answer

    In plain English, stating what was approved, fixed or ignored and why — reasoning and evidence, not just that a step was completed on screen.

Assessment And Evidence

Students should submit proof that the workflow was completed and a short explanation of the decisions made.

Student Evidence

  • Final evidence pack: invoice PDF, payment record, expense report, VAT breakdown, compliance checklist and reflection.
  • Oral or written explanation of one AI-assisted decision and one accounting correction.
  • Marking criteria: accuracy 40%, workflow completeness 25%, evidence quality 20%, explanation 15%.

Trainer Notes

  • Use different scenarios so students cannot copy each other exactly.
  • Reset VM data after each cohort or keep snapshots for moderation.

Continue The Course

Move through the modules in order for a complete accounting, invoicing, compliance and AI finance workflow.

Module 14 5 hours

Forecasting, Scenarios And Group FP&A

Build deterministic forecasts from assumptions and dated events, then review scenario, multi-entity, elimination and FX effects at group level where enabled.
Module 15 4 hours

Cherry Pay: Rewards, Subscriptions And Payment Automation

Review Cherry Pay payment requests, rewards, cashback, subscriptions, recurring billing and AutoPay controls in sandbox or provider-enabled environments.