AI Budget Planner

Split an AI budget across chat, RAG and other workloads.

Quick answer

With the default inputs, $1,000.00/month budget — Allocation across workloads. Enter your own numbers below to recompute instantly; the full step-by-step math is shown under the worked example.

Monthly AI budget($)

Chat / assistants %(%)

RAG / search %(%)

Results update automatically as you type.

Result

$1,000.00/month budget

Allocation across workloads

Chat / assistants(50%): $500.00
RAG / search(30%): $300.00
Other (agents, media)(20%): $200.00

Plan how to allocate a monthly AI budget across your workloads. Set a total and the share for chat, RAG and everything else to see the dollar allocation.

How this is calculated

The planner splits a total monthly budget into dollar allocations by the percentages you set: chat/assistants and RAG/search, with the remainder assigned to everything else. It's an allocation tool, not a cost estimator — it tells you how much you've earmarked for each workload so you can hand those numbers to the per-workload calculators.

Is this a good result? What to do next

A budget split is 'right' when it matches where your value comes from. Most teams find one workload dominates; if your percentages are evenly spread, that's often a sign you haven't identified the primary use case yet. Keep 10–20% unallocated as headroom for spikes and experiments.

Typical planning ranges

Typical dominant-workload share: ~50–70% of budget
Recommended headroom for spikes: ~10–20%

Ranges are typical planning figures to sanity-check your result, not authoritative benchmarks. Your numbers will vary with use case, volume, and vendor.

How to improve this number

Reallocate toward the workload with the clearest ROI.
Validate each slice with the matching cost calculator before committing.
Set provider spend limits/alerts at these allocation lines.

Common mistakes

Allocating 100% with no buffer for spikes or new experiments.
Splitting evenly instead of by value and volume.
Treating the plan as a forecast — pair it with real usage estimates.

When to use a different approach

To project how the total grows over time, use the monthly AI bill forecaster. To turn each slice into real token costs, use the LLM API cost or chatbot cost calculators.