• BOT FAIL
  • HUMAN NEEDED
  • GAP ANALYSIS
  • SENTIMENT

How to audit support conversations with your AI

Connect Ada to your AI client to scan your chat history. Once connected, your agent can pull specific transcripts to find exactly where your automation breaks down.

Ask AI about this page

Short answer

How can I audit my support conversations using AI?

Your AI uses the Ada MCP to pull past and active chat transcripts. It then analyzes the text to find missed intents, incorrect answers, or moments where a human should have stepped in. You get a clear list of specific conversation IDs and failure points to fix.

Where every issue lands.

Audit outcomes

The AI categorizes chat data into actionable buckets.

BOT FAIL

Identify bot errors

The AI flags transcripts where the bot gave wrong info or failed to understand a user. You get the specific conversation details to fix the logic.

HUMAN NEEDED

Flag manual handoffs

The AI finds chats that should have gone to a person but didn't. This helps you spot where your automation is too rigid.

GAP ANALYSIS

Find missing knowledge

The AI spots questions users ask that your bot isn't trained to answer. Use this to build out your knowledge base.

SENTIMENT

Spot frustrated users

The AI pulls chats where the tone turned negative. You can jump in to save these relationships before they escalate.

The workflow

What your AI does when the audit starts.

The AI handles the heavy lifting of reading through thousands of lines of chat logs.

  1. Fetch chat history

    The AI reaches into Ada to pull a list of recent or specific chat sessions.

    list_conversations

  2. Analyze transcripts

    Your agent reads the full text of the pulled conversations to understand the context and flow.

    list_conversations

  3. Detect failures

    The AI compares the bot's responses against user intent to find mismatches.

    list_conversations

  4. Generate report

    The AI organizes the findings into a list of specific issues for you to review.

    list_conversations

Try it

Copy these to start.

Use these prompts once you have connected Ada to your AI client.

Starting points

These are starting points. Swap out the specific channel or date range to match your actual data.

Ada Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_AzLRmp3uK52IN3iowI4nfLlOj7D2qBhC9fZYSMTS/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 — Ada capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ada-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_AzLRmp3uK52IN3iowI4nfLlOj7D2qBhC9fZYSMTS/mcp"
    }
  }
}
Copy into chat04

  • List the last 50 conversations from the Support channel and tell me which ones ended in user frustration.

  • Find all conversations from yesterday where the bot failed to answer a question about shipping.

  • Review the active chats in the Billing channel and flag any that need a human agent immediately.

  • Analyze the transcripts from the last week to find common questions our bot doesn't know how to answer.

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

Start here

Connect Ada once, then ask.

Just click the link to connect Ada to your AI client. Your credentials stay encrypted, and you can start auditing immediately.

Connect Ada to your AI

FAQ

How the audit works

  • 01

    Can the AI change the bot's responses in Ada?

    No. The AI can only read and analyze the transcripts. You have to manually update your bot's logic in Ada.

  • 02

    Does the AI delete any chat history?

    No. This MCP only has permission to read conversation data. It cannot delete or modify your logs.

  • 03

    Can I audit specific users?

    Yes, if you provide the specific conversation IDs or details to your agent, it can pull those specific logs.

  • 04

    How does the AI know if a bot failed?

    The AI looks for patterns like repetitive questions, negative sentiment, or instances where the user explicitly states the bot isn't helping.

  • 05

    Can the AI send messages to customers?

    No. The tools provided only allow the AI to list and read conversations for auditing purposes.

  • More questions about Ada? See everything the Ada Connector can do

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