Artificial intelligence is entering a new phase.

Until recently, most enterprise AI initiatives focused on helping people work more efficiently. Generative AI could summarize documents, answer questions, draft content, and assist employees with everyday tasks.

Now AI is beginning to do more than assist.

Agentic AI introduces software agents that can work toward business goals, make decisions within defined boundaries, retrieve information, and execute actions across enterprise systems. Instead of simply responding to prompts, these agents can actively move work forward.

For business leaders, this represents more than another AI capability. It signals a shift in how organizations design, automate, and govern enterprise operations.

What Is Agentic AI?

Traditional workflow automation follows predefined rules. When a specific condition is met, the system performs a predetermined action. This approach works well for structured and predictable processes.

Generative AI introduced greater flexibility by understanding natural language and generating context-aware responses.

Agentic AI builds on those capabilities by enabling AI to take actions that help achieve a defined objective.

Within ServiceNow, AI agents can analyze information, retrieve enterprise data, execute approved actions, and collaborate with other agents to complete tasks and resolve requests.

This changes the way organizations think about automation. Rather than employees manually moving work through every step of a process, AI agents can handle repetitive activities while people remain involved where judgment, approvals, or oversight are required.

What is ServiceNow AI Agent Studio?

The difference between generative AI and agentic AI becomes clearer after someone requests assistance.

A generative AI assistant may explain how to solve a problem.

An AI agent can take approved actions to move that problem toward resolution.

This capability makes agentic AI valuable across IT Service Management, HR, Customer Service, Security Operations, Application Development, and many other enterprise workflows.

ServiceNow AI Agent Studio allows organizations to build, configure, and manage AI agents and agentic workflows. It also includes prebuilt agents and templates that can be customized to meet specific business requirements.

The objective isn’t automation for automation’s sake. Organizations should focus on where AI agents can eliminate repetitive work, reduce unnecessary handoffs, and allow employees to spend more time on work that requires human expertise.

Multi-Agent Collaboration Changes Automation

Business processes rarely stay within a single department or application.

A typical enterprise workflow may involve collecting information, validating policies, requesting approvals, updating multiple systems, triggering downstream workflows, and communicating results.

Instead of relying on one AI agent to perform every task, organizations can deploy specialized agents that collaborate throughout the process.

ServiceNow supports this multi-agent collaboration, but it also introduces new management responsibilities.

Organizations need to understand:

Which agent owns each task
What information each agent can access
Which actions an agent is authorized to perform
How agents interact with one another
When work should be escalated to a person

Managing an ecosystem of AI agents requires far more than simply creating them.

Governance Becomes Essential

As AI agents begin taking actions instead of simply providing information, governance becomes increasingly important.

Business leaders should be able to answer questions such as:

What data can an agent access?
Which enterprise systems can it interact with?
What actions can it perform?
Which decisions require human approval?
How are its activities monitored and audited?
What happens if an agent produces an unexpected outcome?

These questions make AI governance a critical component of every agentic AI strategy.

The NIST AI Risk Management Framework provides organizations with guidance for managing AI-related risks and supporting trustworthy AI. Rather than treating governance as a one-time implementation activity, organizations should establish ownership, policies, approval boundaries, monitoring, and escalation processes before expanding AI autonomy.

Governing AI with ServiceNow AI Control Tower

As organizations deploy more AI models and agents, maintaining visibility becomes increasingly difficult.

ServiceNow AI Control Tower provides centralized governance across enterprise AI by helping organizations discover, secure, observe, govern, and measure AI capabilities across ServiceNow and third-party environments.

It can maintain an inventory of AI assets, including models and agents, while connecting those assets to enterprise services and governance processes.

This centralized visibility helps business leaders understand where AI is operating, which business processes it supports, and where additional controls may be needed.

Identity and Access Matter

Every AI agent requires an identity.

To perform assigned tasks, agents may need access to applications, APIs, records, and workflows. Granting excessive permissions creates unnecessary security risk.

Organizations should apply the same identity and security principles used for employees, including:

Authentication
Authorization
Least-privilege access
Segregation of duties
Auditability

AI should strengthen security—not introduce new vulnerabilities.

Human Oversight Is Still Necessary

Agentic AI doesn’t eliminate the need for people.

The appropriate level of autonomy should reflect the risk associated with each process.

Routine, low-risk tasks may be suitable for greater automation. Activities involving financial decisions, sensitive information, security changes, regulatory compliance, or significant business impact should continue to include human review.

Organizations should define where AI can act independently, where approvals are required, and where automation should stop. Human oversight should be designed into every agentic workflow from the beginning.

Focus on Business Outcomes

Successful AI initiatives begin with business problems, not technology.

High-volume processes, repetitive tasks, information-intensive work, and workflows with excessive manual handoffs are often strong candidates for agentic AI.

ServiceNow AI Agent Advisor helps organizations identify automation opportunities by analyzing operational data and recommending relevant AI agents.

Success should be measured using business outcomes such as:

Faster resolution times
Higher automation rates
Reduced manual effort
Improved employee and customer experiences
Fewer operational errors
Greater operational efficiency

How ADVANCE Can Help

For organizations invested in ServiceNow, agentic AI creates an opportunity to move beyond task automation toward intelligent, connected enterprise workflows.

ADVANCE helps organizations:

Identify practical AI opportunities
Prepare ServiceNow data and workflows for AI
Implement ServiceNow AI capabilities
Establish governance frameworks that support responsible AI adoption

Our goal isn’t to deploy AI agents everywhere. It’s to implement them where they create measurable business value while maintaining the security, governance, visibility, and operational control enterprises require.

Final Thoughts

Agentic AI represents the next evolution of enterprise automation.

AI is moving beyond providing information to actively participating in business operations by understanding context, coordinating activities, taking approved actions, and collaborating with other AI agents.

For business leaders, this is an operating model shift, not simply another technology deployment.

Organizations that achieve the greatest success will combine trusted data, well-designed workflows, strong governance, secure access, human oversight, and measurable business outcomes. The winners won’t necessarily be those deploying the most AI agents. They’ll be the organizations that know where AI should act, where people should remain involved, and how every AI-driven action creates meaningful business value.

By Advance Solutions

Advance has been in the IT business for over 15 years and a dominant force in the ServiceNow ecosystem. Over this short period of time, our innovative ideas and expertise made a huge mark in driving momentum across ServiceNow’s portfolio of products across the ServiceNow Landscape.