ServiceNow Otto for Integrated Risk Management (IRM)

With the ServiceNow Otto for Integrated Risk Management (IRM) application, you can use generative AI capabilities to support key control objective tasks such as identifying overlapping control objectives, analyzing impact of regulatory changes, and optimizing control objectives within Policy and Compliance Management.

With the ServiceNow Otto for Integrated Risk Management (IRM) application, you can use generative AI to support key control objective management tasks such as identifying overlapping control objectives, recommending rationalization opportunities, optimizing control objectives, and analyzing impact of regulatory changes.

These capabilities are integrated into Control Objective records and help streamline how you work with control objectives and compliance mapping.

Generative AI skills

ServiceNow Otto for Integrated Risk Management (IRM) provides generative AI skills for specific control objective management tasks.

Table 1. Generative AI Skills for Control Objectives

Skill	Description
Control objective rationalization	Identifies redundant or overlapping control objectives across your framework using AI analysis.
Control objective impact analyzer	Leverages generative AI to analyze citation and regulatory changes to identify which control objectives are impacted.
Common control objective creation	Uses generative AI to analyze the accepted duplicate control objectives and generates a common control objective

Agentic workflows

ServiceNow Otto for Integrated Risk Management (IRM) provides agentic workflows to automate complex control objective management tasks and generate recommended actions.

Table 2. Agentic workflows for control objectives

Workflow	Description
Control Objective Change Agent	Leverages the power of AI agents to automatically detect changes in related frameworks, analyze impact on control objectives, and generate recommended updates or rationalization actions.