Explain a variance
Use a supplied table and distinguish a numerical change from an explanation of its cause.
Planned AI training for accountants and finance teams practises explaining figures without inventing causes: variance commentary, spreadsheet checks, report summaries and reconciliation notes, each with an independent check and a review trail. Every task is graded against a rubric the learner can see.
Planned launch trial: 7 days, card required, up to 5 seats.
You will continue on the Tosheo.ai app to create your account and review the trial terms.
Use a supplied table and distinguish a numerical change from an explanation of its cause.
Recalculate important totals independently and flag missing assumptions.
Keep material qualifications and source references in the summary.
Describe an unresolved item without inventing how it should be cleared.
Record the source, checks and edits behind a final statement.
Use fictional data for practice and follow company approval rules for real records.
Use this fictional table: January revenue 80 units, February revenue 92 units; January costs 50 units, February costs 61 units. Ask AI for a short variance explanation. Recalculate the changes yourself. Remove any cause, forecast or recommendation that is not supported by the table. Submit the checked explanation and list what extra information a real reviewer would need.
The revenue change is 12 units and the cost change is 11 units; important figures are independently checked.
The learner does not infer a business cause or future result from the table alone.
The submission records the source, independent checks and questions left for a person.
No. The learning examples practise drafting, checking and explaining work. They do not give investment, accounting or tax advice, establish regulatory competence or replace a qualified reviewer. Important calculations and real reporting decisions still need your normal professional controls.
The planned role path combines a 5-minute diagnostic with short explanations, worked examples and practical tasks. Its purpose is to connect AI habits to the decisions someone makes in finance work, rather than ask everyone to complete the same generic playlist.
Start with variance commentary, because it shows the most important habit in one short task: separating what the numbers show from why they changed. A model asked to 'explain the variance' will usually supply a cause, such as seasonal demand, a price rise or a new customer, whether or not anything in the data supports it.
The sample task below uses a fictional table in which revenue moves from 80 to 92 units and costs from 50 to 61 units. The arithmetic is 12 and 11 units. The learner must keep the arithmetic, remove any unsupported cause or forecast, and list what a real reviewer would need to know before writing a cause at all.
Each planned lesson takes 10 to 15 minutes. In the spreadsheet lesson, the explanation covers why a formula suggested by AI can look right and still be wrong: an absolute reference in the wrong place, a range that stops one row short or an average that includes a total row.
The worked example uses a fictional expense sheet in which an AI-suggested SUM formula covers rows 2 to 40 while the data runs to row 41, so the most recent expense is left out. The learner sees how an independent check, such as a manual total of a sample or a count of rows, finds the gap. The task asks the learner to check a different fictional sheet, recalculate the important totals and record what they checked in a short review note.
A realistic first month fits around close and reporting deadlines: a few short lessons a week, lighter in close week. The plan below is a suggested rhythm, not a measured result.
The manager selects the Finance role and the team's AI tools, such as Copilot in Excel or ChatGPT, then invites the team. Everyone takes the diagnostic and a first lesson on variance commentary.
Lessons on checking AI-suggested formulas and recalculating important totals independently.
Summarising a report without dropping qualifications, and describing an unresolved reconciliation item without inventing how it should be cleared.
Recording sources, checks and edits behind a statement, then a practice scenario against a visible rubric. The manager reviews one AI-assisted piece of commentary with each person.
The planned dashboard shows who is active, completion, an average skill level and a per-person view across the finance skill map, with a weekly digest and a reminder for inactive learners. It does not show raw chat logs.
A skill signal is not a sign-off. Someone who scores well on variance practice still needs normal review on real reporting. Use the view to decide where to coach, then look at real work: ask the learner to show the source, their independent check and the final wording.
Most questions concern confidentiality, accuracy and price.
You do not need to for training. The tasks use fictional tables and sheets. For real work, follow your company's approval rules for which tools may hold which records.
That is exactly why the path trains independent checks rather than trust. Every numerical task includes a recalculation step in the rubric.
The planned Team plan is $19 per seat per month with a five-seat minimum, or $15 per seat per month billed yearly. Prices are a starting hypothesis; the pricing page has the detail.
We do not claim that. The planned recognised certificate records completion of the path and a final practical assessment; whether a professional body accepts it is for that body to decide.
If you need training on an accounting system's own AI features, or technical training in financial modelling, choose the vendor or a specialist provider. If you need lessons in languages other than English, note that lessons are planned in English only at launch.
The product is pre-build. The six skills and the task below describe the intended role experience; they are not a record of completed customer training or validated assessment performance.
The planned Team plan is $19 per seat per month with a five-seat minimum, or $15 per seat per month billed yearly. A 7-day free trial is planned with a card required and up to five seats. Pricing is a starting hypothesis; see the pricing page.
No. The planned diagnostic and adaptive path adjust the starting point and difficulty, so an accounts assistant and a finance manager can get different practice.
No. The examples use fictional tables and sheets. Follow your company policy and the tool's terms before using any real financial information with an AI tool.
The manager selects the AI tools the team uses during setup, including Copilot, and tasks are completed in those tools. Subscriptions to the tools are not included.
It is designed for small and mid-size teams of 5 to 200 people, including finance and accounting firms. It is practical skills training, not a professional qualification or regulatory training.
Explore the planned role-specific lessons, practical tasks and manager view.