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.
| 1,608 h returned × $85.02 blended loaded rate | $136,708 |
| build, license, and per-run costs | −$33,081 |
| Net savings to date | $103,627 |
of SOCs still assemble their metrics by hand, and nearly half call it too time-consuming.
of CFOs are confident they can deliver enterprise AI impact. The rest are asking you for evidence.
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
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.
This is a rough estimate: labor value minus running cost, before the build cost and the adoption ramp.
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.
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"}'
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.
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.
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.
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.
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.
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.
The ledger does more than prove the past. It tells you where to point the next automation, and which ones to put down.
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.
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.
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.
"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 →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 →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 →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.
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 →Free forever tier · cancel anytime · Team $59/mo flat · Business $499/mo · full pricing.