AI Cost and Token Budget Planner
Estimate model routing, retrieval, tool calls, cached context, evaluation passes, and monthly operating cost.
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The exact sections inside the download.
Frame the operating decision
How many requests, sessions, or documents will this workflow process? How much retrieved or uploaded context is needed per run? Use the combined view to name the business outcome, source of truth, and owner who will decide whether to proceed.
Set the control boundary
Which requests need stronger models and which can use smaller models? Which deterministic calls add cost, latency, or operational value? State the risk to avoid, review or escalation route, and record needed to keep the workflow controlled.
Commit to the first move
How many review, scoring, or regression passes are required? What range should leadership expect? Record the smallest safe scope, baseline, owner, evidence, decision date, and next action.
Decision summary
What range should leadership expect? What threshold triggers routing, caching, or scope review? Summarize the proposed move, operating benefit, and the evidence that supports it.
Evidence and control
Where can caching, summaries, or smaller models reduce cost safely? State the source, review boundary, accountable owner, and condition that would require revision or pause. Keep the decision receipt with the workflow record.
Next review
Record the decision owner, evidence source, review date, and the explicit condition to scale, revise, defer, or stop. Confirm how the resulting decision will be communicated, implemented, and retained in the operating record.
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Frame the decision
Name the real operating need before designing a solution.
Estimate requests, users, documents, calls, or sessions per day.
Reasoning, extraction, summarization, voice, classification, or tool use.
Name who reviews monthly spend and routing changes.
How to use it
Start with one real decision.
Complete the canvas with the workflow owner, then use the blank areas to expose missing context and controls.