Sample deliverable

What an AI margin report looks like.

This anonymized sample shows how one AI workflow's usage, cost, retries, failed runs, and plan assumptions become a concrete business decision.

Evidence first · one workflow · one recommended business decision

AI Margin Diagnostic Report

Sample report - PDF Q&A workflow

This is a sample deliverable, not customer data. It shows the level of evidence and decision support a paid AI margin report is designed to produce.

Workflow
PDF Q&A
Review window
30 days
Data source
Existing usage export
Plan context
$49/month starter plan
Economic health

This workflow is not healthy under the current plan assumptions.

The reviewed workflow produced 18 useful answers for Customer A and cost an estimated $41.20 in provider spend. The customer pays $49/month on the active plan snapshot, leaving $7.80 before product, hosting, support, and payment costs.

Plan revenue $49.00
Workflow cost $41.20
Retry spend 27%
Margin left $7.80
Evidence table

What the existing export can already prove.

Signal Observed Source Decision impact
Workflow provider cost $41.20 cost field margin risk
Usable outcomes 18 answers completed status value delivered
Retried calls 11 retries retry count 27% spend
Failed runs 6 failed failed status no user value
Plan snapshot price_starter_v1 active price id rate locked
Data gaps

What would make the next report more reliable.

Missing outcome reason

Completed and failed statuses exist, but the export does not explain whether failures came from retrieval, context length, model refusal, timeout, or parsing.

Missing context size

Provider cost is available, but context-window tokens and retrieved-file size are not separated. That limits the confidence of a context-cap recommendation.

Partial customer segmentation

Customer ID exists, but plan tier and account type are not complete for every row. Segment-level margin should not be automated yet.

Recommended decision

Add a soft cap now. Do not migrate to a gateway yet.

The evidence is strong enough to justify a customer-level warning and a workflow-level review, but not strong enough to enforce hard blocking or reprice all plans from one snapshot.

Do now Warn Customer A before the workflow consumes 60% of monthly plan revenue.
Inspect next Review the retry path and identify why 27% of provider spend repeats work.
Instrument only if usage continues Add outcome_reason, retry_reason, and context_size to future events.

Paid full report

Bring one workflow, one export, and one economic decision.

Try CSV preview