---
title: Source-to-Pay Operations common skills
description: ServiceNow Otto supports Source-to-Pay workflows \(APO, SPO, and SLO\) with AI-powered email generation, sentiment analysis for case prioritization, and natural language data exploration and reporting. skills support Source-to-Pay workflows \(APO, SPO and SLO\) with AI-powered email generation, sentiment analysis for case prioritization, and natural language data exploration and reporting.
locale: en-US
canonical_url: https://www.servicenow.com/docs/r/australia/source-to-pay-operations/source-to-pay-common-skills.html
release: australia
topic_type: concept
last_updated: "2026-03-12"
reading_time_minutes: 2
breadcrumb: [ServiceNow Otto, Source-to-Pay Operations, Finance and Supply Chain]
---

# Source-to-Pay Operations common skills

ServiceNow Otto supports Source-to-Pay workflows \(APO, SPO, and SLO\) with AI-powered email generation, sentiment analysis for case prioritization, and natural language data exploration and reporting. skills support Source-to-Pay workflows \(APO, SPO and SLO\) with AI-powered email generation, sentiment analysis for case prioritization, and natural language data exploration and reporting.

**Note:** The common AI skills are applicable to Sourcing and Procurement Operations, Supplier Lifecycle Operations and Accounts Payable Operations.

The common AI skills available in the Source-to-Pay Workspace are:

-   Email response generation-This skill uses generative AI to automatically draft professional, context-aware email responses for supplier inquiries, procurement communications, and AP case management across Source-to-Pay workflows, reducing manual effort and improving response consistency. Email generation for Source-to-Pay workflows are available as:
    -   [Generate an email response for procurement cases](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/source-to-pay-operations/sourcing-and-procurement-operations/email-response-na-spo.md) in Sourcing and Procurement Operations
    -   [Generate an email response for supplier cases](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/source-to-pay-operations/supplier-lifecycle-operations/generate-email-response-for-supplier-case.md) in Supplier Lifecycle Operations
    -   [Generate an email response for supplier tasks](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/source-to-pay-operations/supplier-lifecycle-operations/generate-email-response-for-supplier-tasks.md) in Supplier Lifecycle Operations
    -   [Generate email response for invoice case](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/source-to-pay-operations/accounts-payable-operations/generate-email-invoice-case-apo.md) in Accounts Payable Operations
    -   [Generate email response for invoice task](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/source-to-pay-operations/accounts-payable-operations/generate-email-invoice-task-apo.md) in Accounts Payable Operations
-   Sentiment analysis-The skill uses large language models to detect emotional tone \(Positive, Negative, or Neutral\) in cases across Source-to-Pay workflows. Sentiment analysis for Source-to-Pay workflows are available as:
    -   [Analyze sentiment in procurement cases](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/source-to-pay-operations/sourcing-and-procurement-operations/analyze-sentiments-na-spo.md)
    -   [Analyze sentiments in supplier cases](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/source-to-pay-operations/supplier-lifecycle-operations/slo-analyze-sentiments.md)
    -   [Analyze sentiments in invoice cases](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/source-to-pay-operations/accounts-payable-operations/analyze-sentiments-in-invoice-case.md)
-   AI Data Explorer-The AI Data Explorer for Source-to-Pay supports AI-driven prompt understanding, recommended queries, and drill-down capabilities within a unified interface. It enables business users to generate reports, visualizations, and KPIs using natural language queries without relying on technical expertise or predefined dashboards. Through a conversational interface, users can ask questions in plain English and receive interactive charts and summaries in real time. Explore AI is integrated within the Source-to-Pay tables and use cases, ensuring accurate, context-aware insights across procurement, supplier and accounts payable workflows. For more information on the data explorer, see [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).

You can use Now LLM Service, Azure OpenAI, Google Gemini or Anthropic Claude on AWS as the AI model provider for all generative AI skills and AI agents. Use the Configuration Controls in [AI Control Tower](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/intelligent-experiences/ai-model-providers.md) to define which options are available, then set the skill-level preferences in the [AI Admin Hub console](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/intelligent-experiences/manage-large-language-models.md). For more information, see [Large language models on the ServiceNow AI Platform®](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/intelligent-experiences/exploring-large-language-models.md).