Annual AI Budget Planner

Build a 12-month AI spend forecast with growth and model changes

Free annual AI budget planner. Build a month-by-month LLM spend forecast from a starting monthly cost, a growth rate, and an expected efficiency improvement, producing a full 12-month total and an end-of-year run rate. It runs free in your browser on Gera Tools, with nothing uploaded.

Last updated Source: Gera Tools

How does growth compound across months?

Each month's spend is the previous month's spend multiplied by one plus the growth rate. Compounding means a steady percentage grows the absolute spend faster every month.

Annual AI budget planner

A single monthly API bill tells you little about where your AI spend is heading. Usage grows, but optimization claws some of it back. This planner projects a full 12-month forecast from your starting spend, your expected growth, and the efficiency gains you plan to ship — so you can put a defensible number in next year’s budget.

How it works

Each month combines two forces: growth pushes spend up, efficiency pulls it down. The planner applies both as compounding monthly rates:

month[n] = month[n-1] × (1 + growth_rate) × (1 − efficiency_rate)
annual   = sum of all 12 months
exit_run_rate = month[12]

Because both effects compound, small monthly rates produce large differences by December. A 10% monthly growth with no efficiency gain nearly triples spend across the year; a few points of monthly efficiency meaningfully flattens it.

Worked example

Suppose your current spend is £2,000 per month, you expect 8% month-on-month usage growth as your product ships new AI features, and you plan to squeeze 2% monthly efficiency gains from prompt trimming and response caching:

MonthSpend (illustrative)
1£2,000
3~£2,300
6~£2,800
9~£3,400
12~£4,100
Annual total~£36,000
Exit run rate~£4,100/mo

Without the 2% efficiency offsets the annual figure would be materially higher — demonstrating why even modest optimization efforts have outsized year-end value.

When to use this tool

  • Annual planning cycles — give finance a credible monthly cost curve rather than a flat extrapolation of today’s bill.
  • Product roadmap decisions — model the cost impact of a new AI feature before you commit to building it.
  • Comparing model switches — combine with a model-pricing tool to layer in the cost reduction (or increase) of moving to a different model midyear.

Tips and notes

  • Plan to the exit run rate, not the average. If usage is growing, December’s spend is what carries into next year — budget for that number.
  • Treat efficiency as a project, not a wish. Only count efficiency gains you have a concrete delivery plan for; otherwise the forecast flatters you.
  • Re-forecast quarterly. Replace projected months with actuals as they land so the back half of the year stays honest. A Q3 actuals-vs-forecast diff often reveals a growth rate assumption that needs upward revision before December.
  • Model the discontinuities. If you are switching models in month 6, run the planner twice (months 1–6 and 7–12 with different baseline costs) and add the two annual totals.
  • Compound growth is non-linear. Eight percent per month is not 96% per year — it is roughly 151% because each month’s growth compounds on the previous month’s higher base. The planner captures this correctly; a spreadsheet extrapolation often does not.