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

The value report that
builds itself.

Your automations save real time and real money. Proving it still costs somebody a week in a spreadsheet, every quarter. LumaTrack listens to every tool you run and turns the evidence into the one number your CFO will sign.

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
69%

of SOCs still assemble their metrics by hand. Half of them 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, March 2026

248% · 97% · 668%

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

Forrester TEI (Microsoft, UiPath) · IDC (Red Hat) · do your own math instead

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 reports

Net savings, hours returned, payback. Per automation and portfolio-wide, scheduled to your inbox, your Slack, and your boss's boss. The spreadsheet retires.

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.

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.

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.

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. You just clicked one in the panel above.

Built for the report you already owe someone

Pick your Friday deadline.

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?"

Instrument an agent in 15 min →

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
Roadmap

Built in the open, gated by evidence.

No fake quarter dates. Each stage ships when the one before it proves out, and early-access members get each drop first.

Shipped
  • Run-event ingest API (idempotent, never drops)
  • ROI engine: costs netted, failures priced
  • Candidate pipeline with projected payback
  • Public ROI calculator
  • Self-serve plans & checkout
  • Role-based rate cards, seeded from cited BLS data
  • White-label client QBR reports & Shareable live report links
  • Savings classes, cost components & the conservatism factor
  • Scheduled Exec Value Pack (email and Slack digest)
  • Workspaces & MSP managed organizations
Building now
  • n8n community node publication & AI-agent SDK polish
  • Production deployment & custom domains for MSPs
  • Data export packages (CSV, full account)
Next
  • Multi-role baselines per automation
  • Jira SM, Zendesk & Freshservice connectors with ticket-deflection measurement
  • Point-in-time report snapshots & PDF export
Exploring
  • Finance period sign-off & audit-grade exports
  • SSO/SCIM & enterprise governance
  • Self-hosted deployment
  • Anonymized peer benchmarks, once enough orgs opt in to keep them honest
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.

Self-serve from $0 · Team $59/mo flat · Business $499/mo · full pricing. No "contact us" games.