• ROOT CAUSE
  • ACTIONABLE
  • EVIDENCE
  • HUMAN

How to generate actionable safety recommendations with your AI

Connect your investigation data to your AI client to bridge the gap between finding a cause and fixing it. Your agent handles the heavy lifting of mapping findings to specific actions.

Ask AI about this page

Short answer

How do I turn accident findings into safety actions?

Your AI client uses the investigation data to identify root causes and then drafts specific, measurable recommendations linked directly to the evidence. You get a structured list of corrective actions ready for review. This process ensures every recommendation is grounded in the actual incident data.

The outcomes of your investigation.

Where your findings land.

The AI processes your raw data into these four distinct outputs.

ROOT CAUSE

Identified causal factors

The AI extracts the core reasons why the accident happened. You get a clear list of what went wrong instead of just symptoms.

ACTIONABLE

Specific safety recommendations

The agent writes concrete steps to prevent recurrence. These aren't vague suggestions; they are measurable tasks.

EVIDENCE

Linked proof points

Every recommendation includes a direct link to the investigation findings. This keeps your safety plan defensible and accurate.

HUMAN

Expert review required

The AI flags complex or high-risk recommendations that need a safety professional to sign off. You decide which actions are final.

The workflow

What your AI does when the investigation data arrives.

The AI moves from raw observation to structured prevention.

  1. Analyze findings

    The agent reads through your investigation reports to find patterns and failures.

    validate_accident_investigation

  2. Map root causes

    It connects the observed failures to the underlying reasons for the incident.

    validate_accident_investigation

  3. Draft recommendations

    The AI writes specific corrective actions based on the validated causes.

    validate_accident_investigation

  4. Verify evidence

    The agent checks that every suggested action is supported by the original data.

    validate_accident_investigation

Try it

Copy these to start.

Use these prompts once you have connected the MCP.

Starting points

Swap the bracketed text for your actual file names or incident IDs.

Accident Investigation Prover Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_lW5eq02uyQWDJiNGsxX901icN7Fl8AQ8SwMOpToG/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 — Accident Investigation Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "accident-investigation-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_lW5eq02uyQWDJiNGsxX901icN7Fl8AQ8SwMOpToG/mcp"
    }
  }
}
Copy into chat04

  • Based on the investigation report in 'incident_log_04.pdf', what are the primary root causes?

  • Generate three measurable safety recommendations for the equipment failure described in the 'warehouse_accident_notes' sheet.

  • Review the recommendations I just wrote and link them to specific evidence found in the 'site_inspection_data' file.

  • Look at the findings in 'safety_audit_2023' and tell me which recommendations require a human safety manager to approve.

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

Start here

Connect Accident Investigation Prover once, then ask.

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

Connect Accident Investigation Prover to your AI

FAQ

How this task behaves.

  • 01

    Can the AI write the final safety report for me?

    No. The AI drafts recommendations and identifies causes, but you must review and finalize all official documentation.

  • 02

    Does the AI change my original investigation notes?

    No. The AI only reads your data to generate new insights; it never modifies your source files.

  • 03

    How does the AI ensure recommendations aren't just guesses?

    It uses the validate_accident_investigation tool to cross-reference every suggestion against the provided evidence.

  • 04

    Can I use this with any AI client?

    Yes, as long as your client supports the Model Context Protocol (MCP).

  • 05

    Will the AI suggest things that aren't in my data?

    The AI is designed to stay grounded in your provided findings. If it suggests something outside the scope, you should flag it for human review.

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

Connect Accident Investigation Prover to Claude, Cursor, ChatGPT & more