---
title: AI Data Explorer using multiple tables
description: The AI Data Explorer interprets natural-language prompts to correlate data across multiple related Accounts Payable Operations, Sourcing and Procurement Operations, and Supplier Lifecycle Operations tables. Fulfillers get unified answers without manually exporting and joining data.
locale: en-US
canonical_url: https://www.servicenow.com/docs/r/australia/source-to-pay-operations/source-to-pay-workspace/explore-ai-multi-tables.html
release: australia
product: Source-to-Pay Workspace
classification: source-to-pay-workspace
topic_type: concept
last_updated: "2026-08-25"
reading_time_minutes: 1
breadcrumb: [Use, Workspace, Source-to-Pay Operations, Finance and Supply Chain]
---

# AI Data Explorer using multiple tables

The AI Data Explorer interprets natural-language prompts to correlate data across multiple related Accounts Payable Operations, Sourcing and Procurement Operations, and Supplier Lifecycle Operations tables. Fulfillers get unified answers without manually exporting and joining data.

## Key benefits

Multi-table analysis with AI Data Explorer provides the following benefits:

-   Correlates data across related entities, such as supplier, invoice, and purchase order, in a single query.
-   Merges columns from multiple related tables into a unified data set and generates reports, visualizations.
-   Reduces the manual effort.
-   Supports faster, more complete decision-making from a single prompt-based interaction.

## How it works

A fulfiller enters a natural-language prompt describing the information they need. AI Data Explorer interprets the prompt, queries the relevant APO, SPO and SLO tables, and returns a consolidated answer.

-   Queries can span multiple related tables, including invoice, supplier, approval, purchase order, and receipt data.
-   Answers combine data from more than one table into a single result set.

-   **[Using AI Data Explorer in Source-to-Pay Operations](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/source-to-pay-operations/source-to-pay-workspace/using-ai-data-explorer-in-source-to-pay.md)**  
Use the AI Data Explorer in Source-to-Pay Operations to generate reports, visualizations, and data insights from APO, SPO and SLO workspace using natural language questions.
-   **[Query multiple tables in AI Data Explorer](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/source-to-pay-operations/source-to-pay-workspace/query-multiple-tables-using-explore-ai.md)**  
Use natural-language prompts to retrieve and correlate data from multiple related tables in a single answer.

**Parent Topic:**[Use Source-to-Pay Workspace](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/source-to-pay-operations/source-to-pay-workspace/using-source-to-pay-ws.md)