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

# The AI Pipeline

> How ClosedLoop AI transforms raw conversations into scored product insights, no manual tagging, no predefined categories, every recommendation traceable.

ClosedLoop AI autonomously transforms customer conversations into product intelligence scored by business impact. No manual tagging, no predefined categories: problems surface on their own. Every recommendation traces back to real quotes and deal values.

## How it works

```mermaid theme={null}
graph LR
    A[Data Sources] --> B[Import]
    B --> C[AI Analysis]
    C --> D[Enrichment]
    D --> E[Insights]
    D --> F[Opportunities]
    D --> G[Customer Intelligence]
```

### Import

Data is pulled automatically from your connected sources: call transcripts, chat messages, survey responses, support tickets. Webhook-based integrations deliver data in real-time.

### AI Analysis

Each conversation is analyzed to extract:

* **Product insights**: specific feature requests, bugs, pain points, improvements, discovered autonomously, not from a predefined taxonomy
* **Customer context**: satisfaction, churn indicators, competitor mentions, buying behavior
* **Business context**: severity, emotion, deal impact, feature area

A typical 30-minute sales call produces 5-15 product insights and 10-30 customer context records.

### Enrichment

Each insight is enriched with:

* **CRM context**: linked to the customer's company, deals, and contacts from HubSpot or Salesforce
* **Semantic indexing**: enables hybrid search (keyword + meaning-based) so you find results even when exact words don't match
* **Business outcomes**: categorized by impact: retention, new sales, expansion, cost reduction

### Opportunity clustering

Related insights are automatically grouped into opportunities: product problems scored by Reach, Impact, and Confidence (RIC). This surfaces the biggest themes across all your data, including problems you didn't know to look for.

## Zero-config, zero-maintenance

The entire pipeline runs autonomously. Connect once, and intelligence flows everywhere: your dashboard, your MCP-connected AI dev agents, your team. Insights are typically available shortly after a conversation is imported. Opportunity clusters update daily.