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PARTLY

As of 13 August 2026, AI can only partly create separate budgets for your business departments.

This still needs a person who signs their name to it.

Can you do it?

5 minutesto a draft.

30 minutesto something you’d act on.

Cost, all in£0

Skill neededchat-fluent

Who has to check ita colleague

What the alternative costsThe available tool data gives no price for a human budgeting service.

If this goes wrong: a department receives an unrealistic target or an incorrect share of a common cost, and you make spending or staffing decisions on a misleading plan.

What to actually do

  1. Hand it to a person

    The route this page recommends

    A person who owns the outcome does this end to end, worth it when the failure is dear.

  2. Use a tool built for this

    Second choice
  3. Do it yourself

    The distant third

    A chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.

    How to actually do it

    1. Open the latest management accounts, general ledger export or bookkeeping report and list the departments, income lines, direct costs and shared costs used by the business.
    2. Gather payroll, contractor, rent, software, supplier commitment and planned investment figures for the budget period, keeping each figure tied to its source.
    3. Decide whether the budget should be VAT-inclusive or VAT-exclusive and write down the rule for allocating shared costs such as rent, software and central staff.
    4. Paste the business context, source data, allocation rules and requested scenarios into the prompt, then ask the chatbot to produce the tables and formulas.
    5. Copy the result into Excel or Google Sheets and compare every source figure, departmental total and business total with the original accounts and supporting records.
    6. Ask the department leads or finance colleague to approve the shared-cost allocations, targets, missing inputs and scenarios before using the budget for spending or staffing decisions.

    Prompt

    Create a separate monthly and annual budget for each department in this UK business using only the information below. Do not invent figures, departments, categories or assumptions.
    
    Business context:
    - Business type: [business type]
    - Budget period: [period]
    - Departments: [list of departments]
    - Currency: GBP
    - VAT treatment: [VAT-inclusive, VAT-exclusive, or explain the treatment]
    
    Source data:
    - Historical income by department: [paste data]
    - Historical direct costs by department: [paste data]
    - Historical shared costs: [paste data]
    - Proposed headcount, salaries and contractor costs: [paste data]
    - Known commitments and price changes: [paste data]
    - Department targets or constraints: [paste data]
    - Rules for allocating shared costs: [paste rules, or state that no rule has been supplied]
    
    Produce:
    1. A clearly labelled departmental budget table by month and for the full period.
    2. Separate income, direct costs, shared costs, payroll, other operating costs and operating surplus or deficit where the data supports them.
    3. Formulas or calculation steps for every total and allocation.
    4. A reconciliation showing that departmental totals agree with the business total.
    5. A list of missing inputs, ambiguous classifications and assumptions that need my approval.
    6. Three scenarios using only changes I specify: base, [scenario name], and [scenario name]. If I have not supplied scenario changes, do not create numerical scenarios.
    7. A short list of questions for the budget owner before this is used for decisions.
    
    Present the result in tables that can be copied into Excel or Google Sheets. Keep source figures distinct from estimates. Flag any item that may need confirmation from the bookkeeper or accountant. This is management planning, not professional advice, and it does not replace an accountant's review of accounts, tax or statutory reporting.

    Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.

What it gets wrong

  • AI cannot decide whether a shared cost should be allocated by headcount, usage, revenue or another basis without an approved business rule.
  • AI cannot tell whether a department's sales target or staffing plan is commercially realistic from accounting data alone.
  • AI cannot reliably detect a source ledger error or a cost posted to the wrong department unless you compare it with the underlying records.
  • AI does not take responsibility for overspending, missed targets or decisions made from the budget.

What caps this at PARTLY: judgement under ambiguity, verification cost and stakes of error.

How we scored this

Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.

AxisScore (0–2)
Output2
Inputs1
Verification1
Liability1
Effort delta2
Total7 / 10

FAQ

Can ChatGPT create a departmental budget?
Yes, it can turn your figures into separate departmental tables, formulas and scenarios. It cannot choose sound allocation rules or confirm that your targets are realistic, so a budget owner or finance colleague must approve the result.
What information does AI need to make a department budget?
Give it historical income and costs by department, shared costs, payroll, commitments, planned changes and the budget period. Also provide the rule for allocating shared costs and say whether figures are VAT-inclusive or VAT-exclusive.
Can AI split shared business costs between departments?
It can apply a rule you provide, such as allocation by headcount, usage or revenue, and show the calculation. It cannot decide which rule fairly reflects your business without your approval.
Can I rely on an AI-generated business budget?
Use it as a planning draft, not as an approved financial plan. Check its figures against your bookkeeping records and have a finance colleague approve the assumptions before making material spending or staffing decisions.

Nearby answers

Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.

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