For every Ansible playbook, n8n workflow, SOAR story, cron job, and AI agent you run

The value report that builds itself.

LumaTrack is the system of record for automation value. Your tools report each run over one HTTP call; it prices the human time they save at cited labor rates, subtracts what they cost, and keeps the result in an auditable ledger. That is the number your CFO will sign, and you stop rebuilding it in a spreadsheet every quarter.

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

Acme Industries · automation portfolio illustrative portfolio · methodology-true
Hours returned
1,608 h
productivity labeled, never blended
Portfolio ROI
313%
costs included: build, licenses, per-run
Runs (30 days)
775
6 tools, one ledger
Cumulative net value · 6 months to May 2026 · costs already netted
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% · 97% · 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) · do your own math instead

A quick estimate

See what a single automation returns in a year.

Describe the task this automation takes off someone's plate and it works out the labor value it gives back over a year, net of what the automation costs to run.

Estimated net savings, per year
$0
0 hours returned per year
Open the full calculator →

This is a rough estimate: labor value minus running cost, before the build cost and the adoption ramp.

How it works

Three steps to a number that survives the meeting.

1

Set the baseline

What does the task cost when a human does it? Minutes times a fully loaded rate, seeded from Bureau of Labor Statistics medians and cited to the dollar. Override anything with your own numbers.

2

Stream the evidence

Anything that can speak HTTP reports each run with one call. Failures count too. They cost money, save nothing, and the ledger says so.

curl -X POST https://lumatrack.io/api/v1/runs \
  -H "Authorization: Bearer lmt_..." \
  -d '{"automation": "os-patching", "status": "success"}'
3

The ledger does the reporting

Net savings, hours returned, and payback, per automation and across the whole portfolio. It lands in your inbox or Slack on the schedule you set, ready to forward to whoever signs the budget, so the quarterly spreadsheet stops being someone's job.

The part your CFO will notice

Built like a ledger, not a dashboard.

Vendor dashboards grade their own homework: one made-up rate, failures ignored, history that rewrites itself when settings change. LumaTrack is built the way finance already works.

History that can't rewrite itself

Rates and assumptions are effective-dated; periods freeze. March's savings are priced at March's rates, forever. Every correction is its own visible entry, and a nightly job re-proves it: frozen months are checksummed against the day they closed, open figures re-derived from the raw runs, to the cent.

Savings classes, never blended

Hard savings, cost avoidance, and productivity are reported side by side, so hours returned never masquerade as budget cuts. It's the distinction finance is trained to look for, made structural.

Show-your-work drill-down

Every figure expands to its formula, assumption versions, and the run events behind it. If your analyst can't re-derive it on a calculator, we don't show it.

What you get

The ledger your CFO can audit, line by line.

Every dollar traces back to the runs behind it, the rate in force when it happened, and the assumption version it was priced on. Change an input and the correction posts as its own entry, while the closed months stay frozen.

A LumaTrack client ledger: net value filtered to $28,792, per-class and per-bucket filters, and a restatement entry recording an assumption change that moved one figure.
A white-label client ledger. The restatement entry records an assumption edit that moved one figure by $285, with the prior closed months left untouched.
The LumaTrack dashboard: net savings, hours returned, ROI, runs, and a 30-day activity digest.
The portfolio dashboard leads with one net number, costs already subtracted.
LumaTrack analytics: cumulative payback, projected against realized, monthly savings, and reliability charts.
Projected against realized, both read from the same ledger. Where they diverge is the part most tools quietly hide.

The ledger does more than prove the past. It tells you where to point the next automation, and which ones to put down.

Decide what to automate next

A candidate pipeline ranks the work you have not automated yet by projected annual value and payback period, so the roadmap is an ROI argument instead of a hunch.

Retire what stopped paying off

When an automation's upkeep outgrows the value it returns, LumaTrack flags it for retirement with the net-to-date in plain dollars, before it quietly costs you for another year.

Reports that send themselves

A scheduled Exec Value Pack to email and Slack, white-label QBR PDFs for each client, and shareable live links. Nobody assembles a deck the night before the review.

Built for the report you already owe someone

Which report are you on the hook for?

MSPs: the QBR page

"We returned $7,206 to your account this quarter, here is the math." Per-client and white-label, generated for you. This is the page that defends your monthly fee and funds the next one.

LumaTrack for MSPs

AI teams: the agent P&L

Langfuse tells you what the agent costs. LumaTrack tells you what it's worth: runs × human baseline − tokens, on one shareable page for the perennial "is it worth it?" And when someone asks what happens if your provider reprices, the scenarios page already has the answer.

LumaTrack for AI teams

SOC: the CISO-pack section

Every Tines story and SOAR playbook reports its runs, and the automation-value section of your monthly pack assembles itself. Enrichment API costs are netted out.

Get the CISO-pack template
curln8nAnsible ServiceNowTinesTorq Jira SMZendeskPowerShell GitHub ActionsOpenAI AgentsLangChain PythonC#Java Goanything with HTTP
The platform

One ledger, from ingest to audit.

Runs come in from anything that speaks HTTP, get priced against cited rates, and become reports and exports your finance team can audit. Closed periods reconcile themselves nightly.

Ingest
Run-event ingest API OpenTelemetry & LiteLLM ingest MCP server for agents Token-priced AI runs (2,400+ models) Billed AI spend import & coverage
Pricing & analysis
ROI engine, failures priced Cited BLS rate cards Savings classes & conservatism factor Flat-rate billing basis Variance, sensitivity & NPV What-if scenarios & repricing stress test Shared-cost showback Candidate pipeline
Reporting & export
White-label QBR reports Shareable live report links Scheduled Exec Value Pack Public ROI calculator Finance export (capex/opex) BI warehouse extracts
Governance & platform
Closed-period corrections Nightly reconciliation canary Append-only audit log Workspaces & MSP managed orgs Self-serve checkout
Run automations for clients?

The value report your QBR deck is missing.

Give every client a white-label, evidence-graded value report from one ingest pipe. Per client, isolated, built for the quarterly review, priced by your book and not your headcount.

LumaTrack for MSPs →

Your automations already earned the number.
Stop rebuilding it by hand.

Free forever tier · cancel anytime · Team $59/mo flat · Business $499/mo · full pricing.