Planned Alumnara AI Level 1 option · 30 study hours
Use AI to understand finance and business numbers
AI can help explain a formula, structure a variance review or turn checked figures into a clearer narrative. It cannot make unreliable numbers reliable, and a confident answer is never a substitute for reconciling the calculation and approving the decision.
For beginner and non-technical learners working with low-stakes business figures, spreadsheets, budgets and internal reporting. General educational guidance—not financial, investment, tax or accounting advice.
Published by Alumnara AI
Worked example added . Fictional teaching material, not a reported AI test.
See the check in practice
Check the percentage and what the numbers mean
This fictional example is a basic number-checking exercise, not financial advice. The flawed AI-style draft was written for this guide. It is not a recording of a real AI test.
Fictional worked example · No account needed
01 / Start with the source
The information you have
Fictional sales record: August sales revenue was £800. September sales revenue was £1,000. No cost figures or explanation for the change is supplied.
02 / Question the draft
A draft with mistakes
Profit increased by 20% in September because the new advert worked.
Written to illustrate a possible AI mistake. Do not use this version.
03 / Make your checks
What needs correcting?
- Subtract August from September: £1,000 minus £800 is an increase of £200.
- Use August as the starting value: £200 divided by £800, multiplied by 100, is 25%. Dividing by September’s £1,000 would give the wrong comparison.
- The source says sales revenue, not profit. Without costs, this record cannot show profit.
- No advert or explanation appears in the record. Remove the claimed cause instead of guessing why sales changed.
04 / Keep it accurate
A checked version
Sales revenue rose from £800 in August to £1,000 in September. That is an increase of £200, or 25% compared with August. These figures do not show profit or explain why sales changed.
Take this into your next task. Check the calculation yourself, then check the words around it. A correct percentage would still be misleading if it described the wrong measure or invented a cause.
Prepare the question and the data first
State what each column, unit, period and category means before asking AI for help. Separate facts from assumptions and remove personal, confidential or commercially sensitive details unless an approved system and policy allow them. A tool cannot reliably infer whether “12.4” means pounds, thousands of pounds, a percentage or a date.
Start with a small, inspectable sample or invented data while learning. If a spreadsheet has missing values, duplicated rows or inconsistent categories, resolve those issues before interpreting trends. AI may help you form cleaning questions, but the reconciled source remains authoritative.
Use AI to explain—not certify—numbers
Useful beginner tasks include asking for a plain-language explanation of a formula, listing possible reasons for a variance, suggesting a table structure or drafting questions for a budget review. Ask the tool to show assumptions and intermediate steps so they can be tested.
Then reproduce the calculation in the spreadsheet or another trusted method. Check signs, decimal places, units, periods, filters and totals. If the AI and the source disagree, investigate rather than choosing the answer that looks more plausible.
Treat forecasts and scenarios as conditional
A scenario is not a prediction. Record the starting figures, assumptions, formula and range of outcomes. Test what changes when an assumption moves, and distinguish a management choice from a fact observed in the data. An AI-generated explanation should not hide uncertainty behind smooth prose.
Do not use a beginner workflow to make regulated financial decisions, provide investment or tax advice, approve credit, set pay or take another high-impact action. Use the organisation’s controlled process and qualified oversight.
What the planned Alumnara pathway will practise
This option is planned after the Level 1 fundamentals core. It will use low-stakes business scenarios to practise spreadsheet questions, trend and variance explanations, simple budget scenarios and source-aware reporting.
Assessment will focus on method and checking, not on trusting an AI answer. Learners will be expected to identify assumptions, reconcile calculations, protect information and explain which conclusions a person can and cannot support.
Human judgement stays in control
Finance checks that stay human
- Source completeness, data definitions and reconciliation.
- Formula logic, units, signs, rounding and date ranges.
- Assumptions behind scenarios, forecasts and comparisons.
- Confidentiality, permissions and retention of financial data.
- Approval of any regulated, high-impact or material decision.
Further reading
Relevant official guidance and context
These sources provide broader context on business use of data and AI, and on public-tool risk. They do not endorse Alumnara or certify this guide’s calculations.
Alumnara AI Level 1 · In development
Keep a simple checking method to hand.
Explaining checked figures in plain English? The free Human-Controlled AI Starter Kit offers general prompts, a checking checklist and privacy reminders. It does not replace a calculator, accounting advice or your organisation’s approval process.
We’re aiming to open Alumnara AI Level 1 between March and May 2027. We’ll confirm the opening date once learner testing and final quality checks are complete.
This is a provisional target, not a guaranteed opening date.
Join the waitlist, unlock the free starter kit and request one email when Level 1 opens. There is no payment, enrolment or ongoing newsletter today.
Alumnara AI Level 1 is practical professional learning in development. It is not a university course, RQF level, Ofqual-regulated qualification, accreditation or professional licence. The public Student Home remains private and locked until its content, safety, accessibility and quality checks are complete.