Outcome Cost audits — price the task after failure

Token prices show the first call. An Outcome Cost audit shows what a completed task costs after retries, fallbacks, evaluation, final failures, and human recovery. Pick a $49 one-task check, a $249 multi-task baseline, or a $499 baseline plus evaluation plan. Every measured input is identified; every unmeasured input stays visibly labeled as a scenario. Intake is one email and nothing is charged on this site.

Pick a tier

One-task outcome check — $49 flat · 2 business days

One recurring AI task, two routes, and a written answer on which one costs less after failure.

• One concise TaskSpec with an observable definition of success, volume, and recovery economics.
• Two assumption-labeled Outcome Receipts plus the retry, final-failure, and break-even arithmetic.
• A direct recommendation—or a direct statement that the evidence is not strong enough to recommend a change.

Scope: one task and two routes. This is a decision snapshot, not a multi-workload evaluation program.

Check one task — $49 →

Outcome Cost baseline — $249 flat · 5 business days

A written baseline across your recurring AI work, showing where cheap calls create expensive outcomes.

• Up to five versioned TaskSpecs: observable success criteria, monthly volume, evaluation cost, and the real human or downstream cost when automation fails.
• Comparable Outcome Receipts for the current route and credible alternatives: first-call price, expected retries or fallbacks, evaluation, final-failure exposure, and cost per completed task.
• A decision matrix with per-task and monthly totals, break-even points, and the assumptions written down. Run evidence you provide is marked measured; everything else is labeled scenario.

Scope: findings and route recommendations for up to five tasks. Implementation is not included.

Build the baseline — $249 →

Baseline + evaluation plan — $499 flat · 7 business days

The full baseline plus a prioritized plan for replacing the biggest assumptions with measured evidence.

• Everything in the Outcome Cost baseline.
• A prioritized evaluation plan: which tasks, samples, graders, and route variants to measure first, ordered by decision value.
• A migration sequence ranked by expected monthly impact, confidence, and implementation effort.
• One revision within 30 days after your team corrects an assumption or adds a constraint.

Scope: the evaluation and migration plan, not ongoing test execution or production implementation.

Baseline + plan — $499 →

Every button opens an email to support@spanvero.com. Payment is by Stripe invoice after you approve the written evidence boundary; nothing is charged on this site.

Or write your own email to support@spanvero.com with the subject “Outcome Cost audit — scope request”.

How it works

1. Send one real task and choose a tier. Describe what the task is, what “good” means, what you run now, and roughly how often. Attach run logs or evaluation results if you have them. If the cheaper tier is enough, we will say so.
2. Approve the evidence boundary. We reply with a short scope that separates measured inputs, inputs you can provide, and assumptions the report must model. You pay by Stripe invoice only after approving that boundary.
3. Receive TaskSpecs and Outcome Receipts. Delivery is 2, 5, or 7 business days depending on tier, counted from payment and receipt of the agreed inputs.

No fake precision and no mandatory “savings” story

If the current route wins, the report says to keep it. If the evidence is too weak, the report says what must be measured next. A scenario estimate never gets relabeled as a benchmark just to make the recommendation look certain.

Who is behind this

The audits are performed and sold by Cynosure LLC, the Florida (USA) limited liability company that operates spanvero.com — the same entity named in the Terms of Service and Privacy Policy. It is one of the site's disclosed revenue sources, and it never touches a published price or ranking. Questions first? Email [email protected].

Check the method first: Outcome Lab · all models · price data · methodology

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