Learning
Practitioner toolkits
Working templates for the tasks the CBA Standards describe. Each has a guide on its first sheet, live formulas, drop-downs where an answer is fixed, and nothing that depends on a macro. Free to use and adapt.
- Templates
- 8
- Format
- Excel.xlsx
Blue is an input.Type over the blue cells; examples are in grey italics and are there to be replaced.
Black is a formula.Calculated cells contain no typed numbers, so a change to an input flows through.
Checks are visible.Where a template can fail to balance or add up, it says so on the sheet.
Finance
Rolling forecast model
A six-quarter driver-based rolling forecast, with revenue, costs and working capital calculated from operational drivers, a variance view against budget and prior forecast, and an accuracy log.
- Drivers by quarter, with owners
- Forecast calculations
- Variance: budget, prior forecast, current forecast
- Accuracy and bias log
Download the templateExcel workbook · 15 KB
- Standards applied
- FP&A ProfessionalFinancial Modelling & Analysis with AI
- Practice note
- Building a driver-based rolling forecast
Working capital and cash forecast
A twelve-month forecast of receivables, inventory and payables from days outstanding, showing the monthly change in working capital, operating cash flow and the lowest point of the cash balance.
- Monthly sales and cost of sales
- Days sales, inventory and payables outstanding
- Working capital balances and movement
- Cash profile and lowest point
Download the templateExcel workbook · 11 KB
- Standards applied
- FP&A ProfessionalFinancial Modelling & Analysis with AI
Accounting
Month-end close calendar
A close calendar and task tracker: every task with its owner, reviewer, dependency and working day, a status for each, and a sheet for the measures that show whether the close is improving.
- Close tasks by working day
- Owners, reviewers and dependencies
- Status tracking
- Monthly close measures
Download the templateExcel workbook · 14 KB
- Standards applied
- Accounting ManagerIFRS Specialist
- Practice note
- Designing a faster month-end close
Balance sheet reconciliation
A standard reconciliation for any balance sheet account: ledger and independent balances, identified and dated reconciling items with automatic ageing, the unexplained difference, and preparer and reviewer sign-off.
- Ledger and trial balance agreement
- Independent source balance
- Reconciling items with ageing
- Sign-off and review questions
Management
Supplier evaluation scorecard
A weighted evaluation for competitive bids: criteria and weightings set in advance, a defined scoring scale, individual and moderated scores, a total cost of ownership comparison and a conflict-of-interest log.
- Criteria and weightings
- Scoring scale descriptors
- Individual and moderated scores
- Total cost of ownership
- Conflict-of-interest declarations
Download the templateExcel workbook · 14 KB
- Standards applied
- Procurement & Supply ManagerCompliance & Risk Professional
- Practice note
- Evaluating supplier bids
Risk register
A risk register that describes each risk by cause, event and consequence, rates it before and after controls on defined scales, records whether controls have been tested, and tracks key risk indicators against thresholds.
- Risk descriptions and owners
- Inherent and residual ratings
- Control testing record
- Key risk indicators
- Rating scales and heat map
Download the templateExcel workbook · 17 KB
- Standards applied
- Compliance & Risk ProfessionalOperations Manager
Technology
AI system inventory
A register of the AI systems an organisation uses, with the fields that governance needs, a worksheet that classifies each system by the consequence of its being wrong, and a review log.
- Inventory register
- Consequence classification worksheet
- Minimum controls by tier
- Review log
Download the templateExcel workbook · 19 KB
- Standards applied
- AI Governance ProfessionalArtificial Intelligence Professional
- Practice note
- Establishing an AI system inventory
Data quality scorecard
A scorecard for measuring the quality of important datasets at source: completeness, validity, uniqueness and timeliness checks with pass rates against thresholds, owners and a monthly trend.
- Checks by dataset and field
- Pass rates against thresholds
- Owners and actions
- Monthly trend
