Security-critical changeSEC · 900 finished
$212.30
First-pass yield31%
People alone$168.0026% more
Keep human
Review and rework erase the savings.
For engineering and AI leaders who have to show Finance the return
The AI run was cheap. The finished work wasn't.
AVYV measures the cost of finished work: the agent run plus the human review and rework behind it, for every task type you trace. It reads your Jira, GitHub and AI bills, read-only, and tells you which work to automate and which to keep human.
Read-only. Metadata only, never prompts or code. 60-day proof of value, and you can walk away at no cost.
The cost that isn't on the invoice
In this task class, the AI invoice showed 1% of what the work cost.
A token dashboard sees the machine. It can't see the people who check every attempt and fix the ones that fail.
$5,280Inference and tooling1.0% · what the dashboard shows
$228,000Human review of every attempt43.5%
$290,700Rework to finish failed attempts55.5%
$523,980total quarterly cost
÷
12,000finished fixes
=
$43.67per finished fix
62% passed review on the first attempt. The other 38% (4,560 fixes) went back for rework, and that rework is the largest cost in the class.
Move it to see why cheaper models don't rescue work that is expensive to check.
Illustrative task class: standard bug fix, 12,000 fixes, one quarter. Hours are at an illustrative $80/hour loaded rate; in AVYV, Finance sets the rate. Token dashboard figure: $5,280 of AI spend ÷ 12,000 finished fixes = $0.44 per fix. Not customer data.
How AVYV works
From completed work to a cost you can defend.
People and AI agents do the work. AVYV reads the records it leaves in Jira, GitHub and your AI bills, joins them into the cost of each finished unit, and shows which work to automate and which to keep human.
- 01 · WorkPeople and AI agents complete tasksJira transitions, GitHub reviews, agent runs and AI bills
- 02 · ConnectAVYV joins the recordsRead-only, metadata only · work finished · human + AI cost · first-pass yield
- 03 · DecideEach task type gets a readingCost per finished unit · automate or keep human
What you see in AVYV
Every workflow ends in a decision.
The cost of each finished unit, how often it passed review the first time, and what that means against doing the work with people alone.
Standard bug fixBUG · 12,000 finished
$43.67
First-pass yield62%
People alone$58.4025% less
Automate
Agents finish it for less, rework included.
AI runReviewReworkHours sampled · rate $80/hour declared by Finance
Conceptual product preview with illustrative data. The bug-fix row is the worked class above; the second row shows the other outcome.
Where to go next
See how it starts
Read-only on day 0, traced to the task by day 30, a decision by day 60.
How it works →Price it before you commit
Per workflow, never per seat. 60-day proof of value; walk away at no cost.
Pricing →Review it in one page
Read-only, metadata only, not in the request path.
Method & Security →Built by people who understand enterprise complexity.
AVYV's founding team brings experience across enterprise security, large-scale software platforms and regulated technology, where reliability, accountability and measurable outcomes matter.
Meet the founders →
30-minute walkthrough
Find out what finished work really costs.
Bring one workflow. In 30 minutes we'll show what your records can prove today, and label what is still an estimate.
Read-only. Metadata only, never prompts or code. 60-day proof of value, and you can walk away at no cost.
Free tool
Estimate idle seats →
Paying for AI seats nobody uses? Seat Check finds idle Copilot, ChatGPT and Claude seats and what they cost a year.
A used seat still isn't a productive one. Measuring that is what AVYV does.