ServiceNow Otto for Finance and Procurement
Summarize
Summary of ServiceNow Otto for Finance and Procurement
ServiceNow Otto for Finance and Procurement is a generative AI-powered application designed to help you summarize purchase orders and keep fulfillers informed about order status, progress, and required actions. It integrates AI capabilities to streamline finance and procurement workflows, enhancing visibility and communication within your organization.
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Getting Started and Configuration
To use ServiceNow Otto for Finance and Procurement, you need to configure the application within your ServiceNow environment. Configuration involves selecting AI model providers such as Now LLM Service, Azure OpenAI, Google Gemini, or Anthropic Claude on AWS. You then manage AI options via the AI Control Tower and set skill-level preferences through the AI Admin Hub console.
Important Usage Considerations
- Availability Restrictions: Some AI features may be unavailable in specific government or restricted data center environments, such as FedRAMP, NSC DOD IL5, Australia IRAP-Protected data centers, or self-hosted instances.
- AI Limitations: As the application uses evolving AI and machine learning technologies, outputs may not always be fully accurate or appropriate. It is essential to apply human oversight, thoroughly test outputs for your use cases, and avoid sole reliance on AI-generated results, especially in sensitive areas like finance.
- Data Processing and Privacy: Usage involves transferring data from your instance to centralized ServiceNow environments or third-party cloud providers (e.g., Microsoft Azure). Data handling follows ServiceNow’s internal policies, and you can opt out of data collection used for improving AI models.
Support and Troubleshooting
For assistance, you can leverage resources such as the ServiceNow Community on AI and Intelligence, the Known Error Portal, and Customer Service and Support channels.
Use ServiceNow Otto for Finance and Procurement to summarize purchase orders and keep fulfillers informed of their status, progress, and required actions.
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AI limitations
This application uses artificial intelligence (AI) and machine learning, which are rapidly evolving fields of study that generate predictions based on patterns in data. As a result, this application may not always produce accurate, complete, or appropriate information. Furthermore, there is no guarantee that this application has been fully trained or tested for your use case. To mitigate these issues, it is your responsibility to test and evaluate your use of this application for accuracy, harm, and appropriateness for your use case, employ human oversight of output, and refrain from relying solely on AI-generated outputs for decision-making purposes. This is especially important if you choose to deploy this application in areas with consequential impacts such as healthcare, finance, legal, employment, security, or infrastructure. You agree to abide by ServiceNow’s AI Acceptable Use Policy, which may be updated by ServiceNow.
Data processing
This application requires data to be transferred from ServiceNow customers' individual instances to a centralized ServiceNow environment, which may be located in a different data center region from the one where your instance is, and potentially to a third-party cloud provider, such as Microsoft Azure. This data is handled per ServiceNow's internal policies and procedures, including our policies available through our CORE Compliance Portal.
Data collection
ServiceNow collects and uses the inputs, outputs, and edits to outputs of this application to develop and improve ServiceNow technologies including ServiceNow models and AI products. Customers can opt out of future data collection at any time, as described in the Now Assist Opt-Out page.
For more information, see the Now Assist documentation.
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 to define which options are available, then set the skill-level preferences in the AI Admin Hub console. For more information, see Large language models on the ServiceNow AI Platform®.