• DATA
  • LOGIC
  • HUMAN
  • REPORT

How to quantify operational risk with your AI

Connect Curie Measurement Prover to your AI client to turn subjective observations into hard numbers. Your agent handles the math and the structure.

Ask AI about this page

Short answer

How do I turn subjective risk statements into data?

Your AI uses the Curie Measurement Prover to map qualitative descriptions to specific probability and impact values. You'll get a structured dataset ready for risk modeling.

The outcomes.

Where your risk data lands.

The AI processes your input into these four distinct outcomes.

DATA

Structured risk scores

The AI converts text into probability and impact values. You get a clean set of numbers for your models.

LOGIC

Defined risk categories

The agent maps descriptions to specific operational categories. This organizes your risk landscape automatically.

HUMAN

Review required flags

Ambiguous or conflicting statements are flagged for you. You decide if the AI's interpretation is correct.

REPORT

Ready-to-use summaries

The AI bundles the quantified data into a readable format. You can move this directly into your reporting tools.

The workflow

What your AI does when a statement arrives.

The AI acts as a translator between human language and mathematical risk frameworks.

  1. Parse descriptions

    The agent reads through your notes or chat history to find mentions of stability, failure, or volatility.

    validate_curie_measurement

  2. Assign values

    It maps the intensity of the language to a specific probability and impact scale.

    validate_curie_measurement

  3. Structure the output

    The AI organizes these values into a schema that fits your existing risk management tools.

    validate_curie_measurement

  4. Flag uncertainty

    If a statement is too vague to quantify, the AI marks it for your manual review.

    validate_curie_measurement

Try it

Copy these to start.

Use these prompts to kick off the quantification process.

Starting points

Swap the bracketed text for your actual data sources like a spreadsheet or a Slack thread.

Curie Measurement Prover Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_CPb0xivIrSLYBuuZ7KzsZrT7gj3fFKipKNBJYSPo/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 — Curie Measurement Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "curie-measurement-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_CPb0xivIrSLYBuuZ7KzsZrT7gj3fFKipKNBJYSPo/mcp"
    }
  }
}
Copy into chat04

  • Quantify the operational risks mentioned in this Slack thread: [link]

  • Turn the stability notes in this spreadsheet into structured risk data: [link]

  • Analyze the risk levels described in this project documentation: [link]

  • Look at these recent incident reports and extract probability and impact scores: [link]

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

Start here

Connect Curie Measurement Prover once, then ask.

Just click the link to connect the MCP to your client. Your credentials stay encrypted and the setup is instant.

Connect Curie Measurement Prover to your AI

FAQ

How the task behaves

  • 01

    Can the AI change my original risk documents?

    No. The AI only reads your data and generates new, structured outputs based on what it finds.

  • 02

    Does the AI decide the risk levels on its own?

    The AI proposes values based on your language, but you remain the final authority for any flagged or uncertain data.

  • 03

    What kind of data can it quantify?

    It works with any text describing stability, volatility, or operational likelihood.

  • 04

    Can it automatically update my risk register?

    No. The AI provides the structured data, which you then move into your register or database.

  • 05

    Does it work with any AI client?

    Yes, it works with any MCP-compatible client like Claude, Cursor, or Windsurf.

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

Connect Curie Measurement Prover to Claude, Cursor, ChatGPT & more