Automation ROI your finance team signs off on.

Know which automations pay for themselves: every run from every tool, priced at labor rates you can cite. Failures cost money and the ledger says so.

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Free tier: 5 automations, 25,000 run events/month, unlimited viewers. Forever.

run ledger · acme industries● ingesting
RunToolStatusCostValue
os-patchingansiblesuccess$0.41$63.77
invoice-syncn8nsuccess$0.09$21.26
switch-fw-complianceansiblefailed$3.20$0.00
ticket-triage-agentopenaisuccess$0.87$42.51
cert-renewalpowershellsuccess$0.02$28.34
exec-report-packgithub actionssuccess$0.11$85.02
net savings to date$103,627
The LumaTrack dashboard: net savings to date, hours returned, portfolio ROI and runs over the last 30 days, with savings split by class and the cumulative net value chart.

Watch it price a run.

One take on the live demo org: an HTTP call arrives, gets priced against the baseline, and lands in the report.

product demo · demo.lumatrack.iocaptions on

Why the number holds.

Built like a ledger, because someone will check. Vendor dashboards grade their own homework; LumaTrack is a neutral ledger, built the way finance already works. Four rules mean nobody has to check the math behind it, and if your analyst cannot re-derive it on a calculator, we do not show it.

R1

Failures are priced

A failed run costs money and saves nothing, and the ledger books it that way. Success-rate dashboards hide this line. Yours will show it.

switch-fw-compliance · failed
cost $3.20 · value $0.00 · booked
R2

Rates carry their effective dates

March's savings are priced at March's rates, forever. Change a rate and history holds; the new rate applies from its own date.

rate card v3 · effective 2026-02-01
BLS medians × 1.43 loading · overridable
R3

Closed months never change

Corrections arrive as their own visible entries. A nightly job re-checks every closed month against the day it closed, to the cent.

2026-04 · CLOSED · verified nightly
correction 2026-05-03: +$212.40, posted openly
R4

Savings classes stay separate

Hard savings, cost avoidance, and productivity report side by side, so hours returned don't get counted as budget cuts.

hard $71,204 · avoidance $32,423
productivity 1,608 h · labeled, discounted, kept out of the total

Try it with your own rates.

Drag the rate and the whole portfolio follows, the same way scenarios run in the product.

$85.02

Seeded from BLS medians × 1.43 loading. In the product you set rates per role.

1,608 h returned × $85.02$136,708
build, license, and per-run costs−$33,081
net savings to date$103,627
portfolio ROI313%

At this rate, 7 of 8 automations still pay for themselves. Switch firmware compliance stays under water.

Open the full ROI calculator

Keep it, retire it, or build the next one.

One view of everything you run, ranked by what it actually returned, with the work you have not built yet ranked by what it would. Projections wear labels. When someone asks you to show your work, the report is already written.

The LumaTrack automations list for Acme Industries: active automations with runs, hours saved, net savings and ROI, including one at minus $1,043 and minus 24 percent, then candidate rows showing projected annual value and payback in months.
Switch firmware compliance is at −$1,043 and −24% ROI, and the number says so in red. The best unbuilt candidate, invoice matching, projects $34,380 a year with payback in 1.4 months. That is the build order the numbers argue for.

Losses count too: track the incidents an automation is meant to prevent and the same ledger turns them into a board business case.

LumaTrack initiatives: an implemented 'After-hours answering service' case showing a $1,320 per month declared baseline, $1,188 per month projected avoided cost, a 2.9 month payback and $9,240 realized avoided to date, with a cumulative payback chart and a before-and-after table, and below it an implemented 'Automated network failover' rollout.
An after-hours answering service, priced from the calls that were never ticketed: $1,320 a month of baseline, $1,188 projected avoided, payback at 2.9 months, $9,240 realized so far. Turn it into an automation and the baseline carries forward unchanged, so before and after stay one number and nothing is counted twice.

Built for the report you already owe someone.

One ingest pipe, HTTP-first: anything you already run can report each run with one call. The scheduled Exec Value Pack lands the finished report in your inbox or Slack, ready to forward to whoever signs the budget.

Agencies: the client value report "We returned $7,186 to your account this quarter, here is the math." One ingest pipe feeds every client, each one isolated and white-label, with closed months held. Priced by the size of your roster. → AI teams: the agent P&L Langfuse tracks what an agent costs to run. What the work was worth is the other column: runs × human baseline − tokens, on one shareable page. → Network and infrastructure: the change you cannot price Ansible playbooks, Python scripts, REST calls against switches. A failed change costs more than the manual one would have; the ledger prices that side, and downtime reduction is a value stream of its own. →
curln8nAnsible ServiceNowTinesTorq Jira SMZendeskPowerShell GitHub ActionsOpenAI AgentsLangChain PythonC#Java Goanything with HTTP

The gap you'd be filling.

69%

of SOCs still assemble their metrics by hand, and nearly half call it too time-consuming.

SANS SOC Survey, 2025

36%

of CFOs are confident they can deliver enterprise AI impact. The rest are asking you for evidence.

Gartner CFO survey, August 2025

248% · 668%

the ROI your vendors claim for themselves, across commissioned studies with incompatible methodologies. Finance discounts all of them.

Forrester TEI (Microsoft) · Forrester TEI (UiPath) · IDC (Red Hat)

For years I automated network changes: Ansible, Python, REST calls against switches. The playbooks worked. Every few months someone would ask what they were worth, and the best I had was a count of successful runs and a graph. That is not a number finance accepts. I built LumaTrack because I wanted an answer to that question.

For years I automated network changes and could never answer what the playbooks were worth in a number finance accepts. I built LumaTrack because I wanted that answer.

Jonathon Davis, founder · 15 years in network operations and automation

Some of your automations are paying for themselves.
Find out which.

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Your data leaves when you do: every ledger row and run event exports as CSV, on any plan. What you can export.