# AI Automation ROI Engine is a financial modeler. AI Agent Connect

> AI Automation ROI Engine gives your AI client the math it needs to vet automation proposals. Instead of guessing if a project makes sense, you use this MCP to run NPV calculations, simulate how fast employees actually adopt new tools, and weigh disruption risks against potential savings. It turns vague ideas into concrete financial models.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_1VZVnCBmChBnnNEjLGgIAj3EzL3odUrbVOavDXTK/ai-agent-connect
- **Tags:** roi, npv, financial-modeling, automation-analysis, risk-assessment

## Description

You shouldn't greenlight an automation project based on gut feeling. This MCP gives your agent the ability to run rigorous financial stress tests on any proposal. You can model how different implementation timelines affect your cash flow or how much a sudden drop in employee adoption might delay your payback period. It handles the heavy lifting of calculating Net Present Value and risk-adjusted returns, so you can focus on the strategic decision. Whether you are comparing two different software implementations or trying to figure out if a specific workflow change is worth the upfront cost, this tool provides the mathematical backbone for your business cases.

## Tools

### calculate_automation_roi
This tool generates a full financial breakdown for a specific automation project. It provides the core metrics needed to see if the math works.

### compare_automation_options
Use this to rank different automation proposals against each other. It identifies which investment offers the best efficiency.

### get_risk_sensitivity_analysis
This tool checks how much your project's success depends on specific risks. It shows how sensitive your returns are to potential disruptions.

### simulate_adoption_scenarios
This tool models how different levels of employee buy-in change your results. It helps you see how adoption speed impacts cost recovery.

## Prompt Examples

**Prompt:** 
```
Calculate the ROI for an automation project with €50,000 annual savings, €20,000 cost, 6 months implementation, and 0.2 disruption risk.
```

**Response:** 
```
The project has a Net Present Value (NPV) of €28,450, a payback period of 5 months, and a risk-adjusted return of €24,100. The project is considered viable.
```

**Prompt:** 
```
Simulate the monthly savings for a project with €100,000 base savings, 0.3 disruption risk, over 12 months.
```

**Response:** 
```
The total realized savings over 12 months is €65,000, with monthly savings starting at €2,500 and scaling up as adoption increases.
```

**Prompt:** 
```
Compare these two options: Option A (€10k cost, €50k savings, 3m timeline, 0.1 risk) and Option B (€15k cost, €60k savings, 4m timeline, 0.3 risk).
```

**Response:** 
```
Option A is ranked first with a higher risk-adjusted return, followed by Option B.
```

## Capabilities

### NPV Calculation
Your agent uses this to determine the current value of future automation savings.

### Risk Modeling
The agent runs sensitivity tests to see how disruption impacts your bottom line.

### Adoption Simulation
Your agent calculates how employee usage rates change the speed of cost recovery.

### Investment Ranking
The agent compares multiple proposals to find the most efficient path forward.

### Payback Analysis
Your agent determines exactly how long it takes to recoup the initial project cost.

## Use Cases

### Budget Approval
Generate a formal ROI report to present to leadership for a new software purchase.

### Risk Assessment
Test how a high disruption risk might turn a profitable project into a loss.

### Vendor Comparison
Compare two different automation vendors to see which one pays for itself faster.

### Implementation Planning
Use adoption simulations to set realistic expectations for when savings will actually hit the books.

## Benefits

- Replaces manual spreadsheet modeling with direct agent queries.
- Accounts for disruption risk in every financial projection.
- Models the impact of human adoption on financial recovery.
- Provides a standardized way to compare competing automation ideas.

## How It Works

Connecting this MCP to your client gives your agent immediate access to a financial modeling engine.

1. Connect the MCP to your client like Claude or Cursor via Vinkius.
2. Provide your agent with the project costs, expected savings, and risk factors.
3. Ask the agent to run specific calculations or simulations.
4. Review the resulting NPV, payback periods, or ranked options.

## Frequently Asked Questions

**What kind of financial metrics does this MCP provide?**
It calculates Net Present Value (NPV), payback periods, and risk-adjusted returns for your automation projects.

**Can I compare two different automation tools?**
Yes, you can use the compare_automation_options tool to rank multiple proposals based on their efficiency and returns.

**How does the MCP handle project risk?**
The get_risk_sensitivity_analysis tool determines how sensitive your project's viability is to changes in disruption risk.

**Does this account for how long it takes employees to use the new tool?**
Yes, the simulate_adoption_scenarios tool evaluates how different levels of employee adoption affect the speed of cost recovery.

**Which AI clients can I use this with?**
You can use this MCP with any compatible client, including Claude, Cursor, and Windsurf.