---
title: "Enrichment Rule Feedback"
section: "Agent store — Sales — CRM Data Management"
canonical_url: "https://leverge.ai/agents/sales/crm-data-management/enrichment-rule-feedback"
category: "Sales"
process: "CRM Data Management"
trigger: "Run on demand"
publisher: "Ailoitte Technologies Private Limited"
---

# Enrichment Rule Feedback

Look at where enrichment keeps getting records wrong and propose rule changes — with what each change would have done to the records you already have.

## At a glance

- Business function: Sales
- Process: CRM Data Management
- Runs: run on demand
- Run cost: 6 credits
- Uses a knowledge base: no

## What it needs

- **Enrichment corrections log** (file upload) — Records where enrichment produced a value a human later changed, with both values.
- **Current rules** (form)

## How it works

1. Reading the corrections log
2. Finding what the rules get wrong
3. Writing the rule change proposal

## What it returns

- **Enrichment accuracy** (score)
- **Rule by rule** (breakdown table)
- **Proposed changes** (markdown doc)
- **Do not change on this evidence** (flagged exceptions)

---

Source: https://leverge.ai/agents/sales/crm-data-management/enrichment-rule-feedback — Leverge