> ## Documentation Index
> Fetch the complete documentation index at: https://docs.parsalink.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Parsa AI Overview

> Parsa AI is your intelligent CRM assistant — it answers questions, generates content, and takes actions using your live business data.

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>
  AI Assistant
</div>

## What Parsa AI Can Do

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  >
    AI Assistant
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  >
    Parsa AI is embedded throughout ParsaLink. Rather than building static reports or manually drafting every email, you interact with your CRM data through a natural language interface. Parsa AI understands your contacts, deals, leads, and activities — and can both retrieve information and take action.
  </div>
</div>

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border: "1px solid #E7EAEC",
borderRadius: "22px",
padding: "18px",
marginBottom: "28px",
boxShadow: "0 14px 34px rgba(20, 61, 78, 0.05)"
}}
>
  <CardGroup cols={2}>
    <Card title="AI Chat Assistant" icon="message-bot" href="/ai/chat">
      Ask questions, create records, send emails, and get pipeline summaries through a conversational interface.
    </Card>

    <Card title="AI Analytics" icon="chart-bar" href="/ai/analytics">
      Run natural language queries against your CRM data and save the results as charts on your dashboard or in reports.
    </Card>

    <Card title="AI Email Generation" icon="envelope-open-text" href="/ai/email-generation">
      Generate personalized, context-aware emails for any contact or lead. Use in chat or as an automation action.
    </Card>

    <Card title="Meeting Note Extraction" icon="microphone" href="/ai/chat">
      Paste raw meeting notes into the AI chat and Parsa will extract action items, create tasks, and update contact records.
    </Card>
  </CardGroup>
</div>

***

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padding: "6px 12px",
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border: "1px solid rgba(28,117,138,0.12)"
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>
  Conversational Actions
</div>

## AI Chat Assistant

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}}
>
  The chat panel (accessible from the left sidebar or with `Cmd/Ctrl + K`) is your primary interface to Parsa AI. You can:

  * **Search and retrieve** — "Show me all leads from last week" or "Find the contact at Acme Corp who handles procurement."
  * **Create records** — "Create a follow-up task for John Smith due Friday" or "Add a note to the Acme opportunity saying they need a custom SLA."
  * **Analyze your pipeline** — "What's my total pipeline value?" or "Which rep has the most deals in negotiation?"
  * **Draft communications** — "Write an introductory email to Sarah Johnson at TechCorp" or "Generate a follow-up email for a lead who went quiet."
  * **Book across calendars** — "Find a 45-minute slot with Andrew and Amy next week and send the invite."
  * **Extract meeting notes** — Paste a block of meeting notes and ask Parsa to create tasks and update records.

  Under the hood the chat assistant is split into [16 per-domain agents](/ai/agents) (contacts, opportunities, email, automations, calendar, …) coordinated by a router. You don't see it happen — you just get a faster, more accurate response because only the relevant domain's tools and instructions are loaded for your message.
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***

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display: "inline-block",
color: "#1C758A",
fontSize: "12px",
fontWeight: "700",
marginBottom: "8px",
letterSpacing: "0.06em",
textTransform: "uppercase",
background: "rgba(28,117,138,0.08)",
padding: "6px 12px",
borderRadius: "999px",
border: "1px solid rgba(28,117,138,0.12)"
}}
>
  Analytics
</div>

## AI Analytics

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>
  From the **Analytics** section or directly in the AI chat, ask natural language questions about your data:

  * *"Show me leads by source over the last 90 days"*
  * *"What's the pipeline value breakdown by stage?"*
  * *"How many deals did we close last month compared to the month before?"*

  The AI generates charts and tables from your live CRM data. You can save results to your dashboard or a named report.
</div>

***

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  style={{ 
display: "inline-block",
color: "#1C758A",
fontSize: "12px",
fontWeight: "700",
marginBottom: "8px",
letterSpacing: "0.06em",
textTransform: "uppercase",
background: "rgba(28,117,138,0.08)",
padding: "6px 12px",
borderRadius: "999px",
border: "1px solid rgba(28,117,138,0.12)"
}}
>
  Email Generation
</div>

## AI Email Generation

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  style={{
border: "1px solid #E7EAEC",
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}}
>
  Parsa AI can write emails tailored to the recipient using CRM context:

  * The contact's name, company, role, and recent activity
  * The opportunity or deal context
  * Previous email history

  You can trigger email generation from the AI chat panel, or use the **AI Email** action in an automation workflow.
</div>

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  style={{ 
display: "inline-block",
color: "#1C758A",
fontSize: "12px",
fontWeight: "700",
marginBottom: "8px",
letterSpacing: "0.06em",
textTransform: "uppercase",
background: "rgba(28,117,138,0.08)",
padding: "6px 12px",
borderRadius: "999px",
border: "1px solid rgba(28,117,138,0.12)"
}}
>
  Meeting Notes
</div>

## Meeting Note Extraction

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}}
>
  After a meeting, paste your raw notes into the AI chat with a prompt like:

  > *"I just had a discovery call with Acme Corp. Here are my notes: \[paste notes]. Please extract action items and update the opportunity."*

  Parsa AI will:

  1. Identify tasks and create them with due dates and assignees.
  2. Add a structured note to the relevant contact or opportunity.
  3. Suggest stage updates based on what was discussed.
</div>

***

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textTransform: "uppercase",
background: "rgba(28,117,138,0.08)",
padding: "6px 12px",
borderRadius: "999px",
border: "1px solid rgba(28,117,138,0.12)"
}}
>
  Permissions
</div>

## How AI Accesses Your CRM Data

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>
  Parsa AI has **read access** to all CRM records in your workspace, scoped to your user's permissions. It does not access data from other workspaces. When AI takes actions (creating tasks, sending emails, updating records), those actions are logged in the activity timeline just like manual actions — so you always have an audit trail.
</div>

<Info>
  AI actions are attributed to the user who initiated them. If you ask Parsa AI to send an email, it appears in the activity log as sent by you.
</Info>
