• RISK SCORES
  • DATA TRENDS
  • ACTION LIST
  • HUMAN REVIEW

How to predict employee turnover risk with your AI

Connect your HR data once. From there, your agent identifies which employees are most likely to leave.

Ask AI about this page

Short answer

How can I use AI to predict which employees might quit?

Your AI uses the Retention Risk Scorer to run calculations on tenure, pay, and engagement levels for every person in your system. This produces a specific risk score for each individual. You'll see the specific drivers behind these scores in the breakdown below.

The outcomes.

What you get from the analysis.

The AI processes your data to produce these specific results.

RISK SCORES

Individual risk levels

The AI uses calculate_risk_score to assign a number to every employee. You get a clear list of who is at high risk.

DATA TRENDS

Identify risk drivers

The agent looks for patterns between low engagement and high turnover. You'll see if salary or tenure is the main issue.

ACTION LIST

Prioritize interventions

The AI sorts employees by their risk score. You get a prioritized list of who to talk to first.

HUMAN REVIEW

Managerial follow-up

The AI identifies the risk, but you decide how to handle the conversation. The agent provides the data, but you provide the empathy.

The workflow

What your AI does when the data arrives.

The AI handles the heavy lifting of the math so you can focus on the people.

  1. Data ingestion

    Your agent pulls in the latest employee records, including current pay and time in role.

    calculate_risk_score

  2. Risk calculation

    The AI runs the specific math required to weigh engagement against tenure and salary.

    calculate_risk_score

  3. Pattern recognition

    The agent compares individual scores against broader company trends to find outliers.

    calculate_risk_score

  4. Risk reporting

    The AI organizes the final scores into a readable format for your review.

    calculate_risk_score

Try it

Copy these to start.

Use these prompts to trigger the analysis in your chat interface.

Starting points

These are just ways to start the conversation. Swap out the specific department or file names to match your actual data.

Retention Risk Scorer Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_mXhOS3g73ijqWGv6LOTyRrOflbJyrsVKogBGRJND/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Retention Risk Scorer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "retention-risk-scorer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_mXhOS3g73ijqWGv6LOTyRrOflbJyrsVKogBGRJND/mcp"
    }
  }
}
Copy into chat04

  • Calculate the turnover risk scores for the Engineering department using the Retention Risk Scorer.

  • Show me the top 5 highest risk employees based on my current employee spreadsheet.

  • Analyze the relationship between salary increases and turnover risk for the Sales team.

  • Identify which employees in the Marketing group have a high risk score due to low engagement.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Retention Risk Scorer once, then ask.

Just click the link to connect the MCP to your client. Your credentials stay encrypted and private, and you can start asking questions immediately.

Connect Retention Risk Scorer to your AI

FAQ

How the scorer behaves

  • 01

    Can the AI automatically fire people or change their salary?

    No. The AI only calculates risk scores. It cannot modify employee records or take any administrative actions.

  • 02

    Does the AI decide who is a 'flight risk' on its own?

    The AI calculates a score based on the data you provide, but you are the one who interprets that score and decides if an employee is actually at risk.

  • 03

    What data does the AI need to work?

    The AI requires access to employee tenure, current salary, and engagement metrics to run the calculation.

  • 04

    Can the AI delete my employee data?

    No. The AI only reads the data to perform the calculation. It has no capability to delete or overwrite your records.

  • 05

    Will this work with my existing HR software?

    Yes, as long as you can provide the data to your AI client, the Retention Risk Scorer can process it.

  • More questions about Retention Risk Scorer? The Connector page answers them. See everything the Retention Risk Scorer Connector can do

Connect Retention Risk Scorer to Claude, Cursor, ChatGPT & more