• BIAS DETECTED
  • CRITERIA CHECK
  • HUMAN REVIEW
  • CLEAN DATA

How to audit hiring decisions with your AI

Connect your agent to your hiring data to spot patterns of bias. Your AI handles the math and the comparison, leaving you to make the final call.

Ask AI about this page

Short answer

How can I use AI to audit my hiring decisions?

Your AI analyzes your candidate selection data against specific job requirements to identify potential bias. It runs adverse impact tests and flags where selection rates deviate from expected norms. You get a clear view of where your process might be leaning toward specific groups.

Where the results land.

Audit outcomes

The AI processes your data into these specific categories.

BIAS DETECTED

Adverse impact flags

The AI identifies groups that are being selected at significantly lower rates. You get specific data points showing where the selection process deviates from the norm.

CRITERIA CHECK

Job requirement alignment

The agent compares candidate profiles against the actual job description. It flags instances where candidates are being rejected for reasons not listed in the requirements.

HUMAN REVIEW

Manual intervention needed

When the AI finds a statistical anomaly or a vague rejection reason, it marks it for your review. You decide if the decision was valid or biased.

CLEAN DATA

Validated selection logs

The AI confirms that your hiring logs are complete and ready for compliance reporting. You get a clean record of how decisions were made.

The workflow

What your AI does when the data arrives.

The AI moves from raw data to actionable bias detection through these steps.

  1. Data ingestion

    Your agent pulls the latest candidate selection records and job descriptions from your system.

    validate_people_management

  2. Impact analysis

    The AI calculates selection rates across different demographic groups to find statistical outliers.

    validate_people_management

  3. Criteria matching

    The agent checks if the reasons for rejecting candidates match the predefined job criteria.

    validate_people_management

  4. Discrepancy reporting

    The AI compiles all flags and anomalies into a summary for your review.

    validate_people_management

Try it

Copy these to start.

Use these prompts to kick off an audit.

Starting points

Replace the bracketed text with your specific file names or database tables.

People Management Prover Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_2NkeY9hKaEDnVyOPFi1JodFQmdbVJyt03w5rhOfv/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 — People Management Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "people-management-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_2NkeY9hKaEDnVyOPFi1JodFQmdbVJyt03w5rhOfv/mcp"
    }
  }
}
Copy into chat04

  • Run an adverse impact analysis on the candidate selection sheet from last month.

  • Check if the rejection reasons in the hiring log match the requirements in the Senior Engineer job description.

  • Analyze the recent interview data in the recruitment folder for any patterns of bias against specific groups.

  • Compare the candidate scoring in the ATS export against the core competencies listed in the hiring rubric.

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

Start here

Connect People Management Prover once, then ask.

Just link the MCP to your preferred client. Your credentials stay encrypted, and you can start auditing immediately.

Connect People Management Prover to your AI

FAQ

Common questions about auditing

  • 01

    Can the AI change my hiring decisions?

    No. The AI only analyzes data and flags issues. You remain the sole decision maker.

  • 02

    Does the AI delete any candidate records?

    No. The AI only reads your data to perform analysis. It has no permission to delete or modify your original records.

  • 03

    What kind of data does it need?

    It needs access to your candidate selection logs, demographic data for impact testing, and your job descriptions.

  • 04

    Can it automate the entire hiring process?

    No. This tool is for auditing and checking for bias, not for making automated hiring decisions.

  • 05

    How does it handle demographic data?

    It uses the demographic information provided in your records to run statistical tests for adverse impact.

  • More questions about People Management Prover? The Connector page answers them. See everything the People Management Prover Connector can do

Connect People Management Prover to Claude, Cursor, ChatGPT & more