--- sourceDocument: Australia Employee Service Management sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/employee-service-management Release : - australia ft:locale : - en-US ft:publication_title : - Australia Employee Service Management ft:clusterId : - emplsm bundleId : - emplsm workflow : - Employee --- # Agentic workflows # Agentic workflows Contract Management Pro {#ariaid-title1} Release version: Australia Updated March 12, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read Summarize ![AI sparkle icon](https://servicenow.com/docs/portal-asset/ai-sparkle-icon) Summarized using AI This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete. ## Summary of Agentic workflows Contract Management Pro Agentic workflows in Contract Management Pro enable ServiceNow customers to automate the extraction of metadata and obligations from signed contracts and manage contract lifecycle tasks such as setting reminders for renewals or terminations. These workflows leverage AI agents to streamline contract repository management and improve the efficiency of contract-related processes. Show full answer Show less ## Key Features * **Manage Contract Repository:** This workflow uses an AI agent to extract critical metadata and obligations from signed contracts. It calculates reminder dates based on contract terms, including end dates, auto-renewal clauses, and notice periods. Users can review and approve extracted information via a playbook interface before updating the contract repository and creating obligation records. * **Conversational Contract Search and Insights:** Provides natural language conversational search capabilities across contract metadata and content to easily locate relevant contract information. It supports combined searches and offers summarization and Q\&A on contract documents. ## Important Details and Limitations * The manage contract repository workflow is triggered through the ServiceNow Otto panel but is not supported in the Virtual Agent panel. * Search functionality does not support scanned PDF documents and is limited to contracts stored in internal storage only. * All agentic workflows and AI agent records are read-only by default; modifications require duplicating the workflow first. * When customizing workflows, AI agents, or tools, ensure all related instructions and script includes are updated accordingly to maintain autonomous operation. ## AI Model Providers and Configuration ServiceNow supports multiple AI model providers including Now LLM Service, Azure OpenAI, Google Gemini, and Anthropic Claude on AWS for powering generative AI skills and agents within Contract Management Pro. Configuration controls are available via the AI Control Tower and AI Admin Hub console to define and manage AI options and skill-level preferences. Use agentic workflows in Contract Management Pro to extract metadata and obligations from signed contracts, and set reminders for contract renewals or termination. The following agentic workflows are available for contract management: Manage contract repository : Extracts metadata and obligations from signed contracts, calculates reminder dates based on contract terms, and enables users to review and approve extracted information through a playbook interface before updating the contract repository.For more information on activating the skill, see [Configure AI capabilities](https://servicenow-prod.fluidtopics.net/hRqeqjrlcAbeR7svNHTmNQ "As an AI administrator, configure ServiceNow Otto for Contract Management Pro so that contract fulfillers can use the AI capabilities while working on contract documents or search the contracts for information from the ServiceNow Otto panel."). For more information on how to use the skill, see [Extract contract metadata](https://servicenow-prod.fluidtopics.net/NnYr0ufDlwl2VcR9BHH1oQ "As a contract fulfiller, use ServiceNow Otto for Contract Management Pro to extract metadata from a signed contract and add the information to the mapped fields in the contract repository.") and [Create obligations using AI](https://servicenow-prod.fluidtopics.net/2Bq30FtY6oLRZE3po1PMJQ#cncore-create-obligations-landing "Create obligation records for signed contracts to fulfill the responsibilities specified in the contract. You can create obligations manually or use AI to automatically extract obligations from contract documents."). Conversational contract search and insights : Queries contract documents with conversational search using natural language and dialogue-driven queries, making it easier to find relevant information. Conversational search enables queries based on: * Contract metadata * Content available in the contract document * Combined search across metadata and contract document * Summarization and Q\&A on contract documents {#cmpro-agentic-workflows__ul_plf_14j_hhc} Limitations: * No support for search within scanned PDF documents * Search functionality is limited to contracts stored in internal storage only {#cmpro-agentic-workflows__ul_bg2_wnh_lhc} For more information on activating the skill, see [Configure AI capabilities](https://servicenow-prod.fluidtopics.net/hRqeqjrlcAbeR7svNHTmNQ "As an AI administrator, configure ServiceNow Otto for Contract Management Pro so that contract fulfillers can use the AI capabilities while working on contract documents or search the contracts for information from the ServiceNow Otto panel."). {#cmpro-agentic-workflows__table_dxr_mb1_v2c__entry__3} | Agentic workflow name | Description | Available AI agents | |-|-|-| | Manage contract repository | Uses an AI agent to extract key metadata and obligations from a signed contract, and calculate the contract reminder date by analyzing the contract end date, auto-renewal clause, and notice period for contract renewal or termination. The playbook in the contract record enables users to review AI extracted metadata and obligations to update the contract repository with extracted metadata, and create obligation records, respectively. Users can also set reminders for contract renewal or termination. Note: The agentic workflow is triggered in the ServiceNow Otto panel. It is not supported in the Virtual Agent panel. | Contract repository AI agent | [Table 1. Available agentic workflows for the Contract Management Pro AI agent collection] {#cmpro-agentic-workflows__table_dxr_mb1_v2c} Important: By default, all agentic workflows and AI agent records are read only. To modify an agentic workflow, you must first duplicate it, and then update it. For more information, see: * [Duplicate an agentic workflow](https://www.servicenow.com/docs/access?context=clone-aia-usecase&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US) * [Create an agentic workflow](https://www.servicenow.com/docs/access?context=configure-use-case-ai-agents&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US) * [Modify an agentic workflow](https://www.servicenow.com/docs/access?context=modify-aia-use-case&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US) {#cmpro-agentic-workflows__ul_zxl_pyj_1fc} Note: When you modify an agentic workflow, AI agents, or tools, make sure that you update all instructions accordingly. If you have customized the manage contract repository agentic workflow, [update the script include to run it autonomously.](https://servicenow-prod.fluidtopics.net/Gkhpc~dHmI0cIZi0pq71Aw "Update the ContractsAIAgentsHelper script include to add the sys_id of a customized Manage contract repository agentic workflow to run the agentic workflow autonomously.") There might be AI agents installed on your instance that are not used in agentic workflows. To learn how to see all agents that are available to you, see [Find AI agents](https://www.servicenow.com/docs/access?context=find-ai-agents&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US). 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://www.servicenow.com/docs/access?context=ai-model-providers&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US) to define which options are available, then set the skill-level preferences in the [AI Admin Hub console](https://www.servicenow.com/docs/access?context=manage-large-language-models&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US). For more information, see [Large language models on the ServiceNow AI Platform®](https://www.servicenow.com/docs/access?context=exploring-large-language-models&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US).