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Actuals — sample audit
actuals Sample audit

A sample audit, end to end.

Support is the first instance of the meter, so this is a support audit. Move the window, peek at what the vendor reports, and open any row down to the matched pairs beneath it. Nothing here is aggregated away from its evidence.

Calibrated simulation
Fernbrook Retail Group · 183,000 tickets · 12 months ending 31 July 2026 · vendor Solvo AI
Both are invented — a fictional buyer and a fictional vendor, built so this sample resembles no real company. Every figure is simulated.
Window
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Claimed by vendor
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Durable · {{ winLabel }}
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Human baseline
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Queues

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Contact reason Tier Tickets AI returns Human returns Gap {{ excessHead }}
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{{ q.pull_back }}
{{ q.tier }} {{ q.tickets }} {{ q.ai }} {{ q.human }} {{ q.gap }} {{ q.excess }}
Weighted across 183,000 tickets {{ totAi }} {{ totHuman }} {{ totGap }} {{ totExcess }}
Evidence
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{{ e.claim_ticket_id }} {{ e.arrow }} {{ e.return_label }}
{{ c.kind }} {{ c.value }}
{{ e.queue }}{{ e.channel }}{{ e.gapLabel }}
{{ e.verdictLabel }}

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No sampled pairs published for this queue.
This sample audit publishes sixteen pairs across eight queues. A real audit publishes every matched pair, including the ones we got wrong.

This is a simulation calibrated to published benchmarks. Your number is different.

Queue mix, vendor configuration, and how your own people close work all move the durable rate by more than the vendor's marketing does. The same meter runs on any claim/truth data — a read-only Zendesk token, or an export from whatever system you keep the work in.

What you already know
Costed at this audit's own entered cost per contact ({{ estCpcLabel }}) and its vendor's published rate ({{ estClaimedLabel }}).
What the benchmark implies
Durable rate at 72 hours
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{{ estDeltaPts }} against the rate you are shown
HeldCame back
Annual exposure
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Excess repeat contacts{{ estExcessContacts }}
Resolutions that did not hold{{ estNonDurable }}
Find out what it actually is →

This is not your number. It applies the gap measured in our calibrated sample — a durable rate {{ estRatioPct }} of the claimed rate, and a vendor fee of {{ estFeeLabel }} on every resolution billed — to the volume you entered. Your queue mix moves it by more than your vendor's marketing does. The only way to get your figure is to measure it.

In pilot · calibrated simulation
The code meter has not been run against a live repository. Every figure below is simulated to show the anatomy of the report, not to describe any team's output. The method is published before the first number is.
Simulated
Claimed by vendor
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merged PRs, each counted as delivered work the moment it landed
Durable · 14 days
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survived with no revert, no linked bug, no reopened issue
Human baseline
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human-authored PRs, same repo areas, same six months
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Repository areas

Repo area PRs AI survival Human survival Gap Rework est.
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{{ a.pr_count }} {{ a.ai }} {{ a.human }} {{ a.gap }} {{ a.excess }}
Evidence
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PR {{ e.claim_pr }} {{ e.arrow }} {{ e.truth_label }}
{{ c.kind }} {{ c.value }}
{{ e.area }}{{ e.gapLabel }}
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{{ e.rationale }}

Eight repositories in the first code cohort.

Read-only access to your git host and issue tracker. No agent changes, no vendor cooperation, no involvement in how you deploy. You get the same envelope as the support audit: headline pair, evidence rows, named limitations.

On the list
We will write to {{ email }} when the code pilot opens, with the method document attached. That is the only email you will get.
Not recorded
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Send it to us by email →
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