See The Worth of
Human Work In Dollars
Your LangChain Agents Do

Add 2 lines of Python to your LangChain agent
Automatically get benchmarked human salary saved per run
Show your CFO the detailed ROI on a dashboard

Dashboard

Total Runs

2.4K

Agent executions tracked

Human Work Replaced

$18.7K

Based on salary benchmarks

Human Hours Saved

312

At $60/hr avg. human cost

Runs by Time

2.4K runs tracked

Value by Agent

$18.7K human cost replaced

The Problem

You're investing in agents.
Where's the ROI proof?

Every agent run replaces human work. But without measuring that in real dollars, you can't build a business case for scaling.

"What's the dollar value?"

Your agent processes 500 invoices a day. Great. But how much would a human cost to do the same work? That's the number leadership wants.

No data for ROI calculations

You know what you spend on API calls and compute. But you have no way to quantify the value side of the equation to calculate actual ROI.

Salary research is a pain

Figuring out what a Senior Data Analyst costs per hour in Germany vs. the US vs. India takes time. You need that data ready to go.

How It Works

Set the task, the role, the country.
We do the math.

For each agent, you specify what human task it replaces and how long that task takes a person. ROI Engine looks up the salary cost for that role in your country and calculates the dollar value of every run automatically.

Configure the human baseline

Pick the role your agent replaces (e.g. Senior Data Analyst), the country (e.g. Germany), and how many minutes the task takes a human. We provide the salary data instantly.

                # Dashboard sidebar config:

                Role: Senior Data Analyst

                Country: Germany

                Human time per task: 12 min

                Hourly rate: $65/hr (auto-filled)

Log every agent run

Add two lines of Python. Each time your agent completes a task, we calculate: 12 min of a $65/hr analyst = $13 of human work replaced.

                from roi_engine import ROIEngine

                engine = ROIEngine("invoice-bot")

                engine.log_run(

                  input_data="invoice.pdf",

                  verdict="APPROVED"

                )

                # Value logged: $13.00

Get your ROI number

The dashboard totals it up. 500 runs/day x $13 = $6,500/day of human work your agent is doing. Plug that into your ROI calculation against what you spend.

                # Your ROI calculation:

                Agent cost: $200/mo (API + compute)

                Human work replaced: $18,742/mo

                ROI: 93x return

Features

Built for accurate ROI measurement

Real Salary Database

Built-in hourly cost data by country and role. Select "Senior Data Analyst in Germany" and get $65/hr instantly. No manual salary research needed.

Per-Task Time Mapping

For each agent, specify how many minutes the equivalent human task takes. The calculation is automatic: time x hourly rate = dollar value per run.

Multi-Agent Comparison

Run 10 agents? See which ones generate the most value. Compare your invoice bot ($7/run) vs. your PDF reviewer ($13/run) side by side.

Stakeholder-Ready Dashboard

Total human work replaced in dollars, hours saved, value per run. Numbers that go straight into your business case or board deck.

Two Lines of Python

Import the Python library, works with LangChain. No SDK bloat.

Built For

Who uses ROI Engine?

AI Engineers

You built the agent. Now show it replaces $13 of human work per run. Add two lines of Python and let the numbers speak.

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Product Managers

Need to justify AI spend to leadership? Show them: "Our agents replaced $18K of human work last month at a cost of $200." That's a 90x return.

Engineering Leads

Managing agents across teams? See which ones deliver the most value per dollar spent, and allocate resources where the ROI is highest.

See The Worth of Human Work In Dollars Your LangChain Agents Do

You're investing in agents.Where's the ROI proof?