AI in customer service with ServiceNow at a glance
ServiceNow Customer Service Management connects customer issues with relevant customer, product, and service information as well as the related workflows across the organization. Generative AI helps customer service teams understand information faster, summarize content, and prepare next steps.
AI Agents go a step further: They can review information, incorporate context from different sources, and independently execute defined tasks or process steps. This includes triaging requests, providing customer information, or triggering additional actions.
As a result, the solution is evolving from traditional case handling toward AI-powered service that connects data, workflows, AI Agents, and employees to resolve customer issues faster and as seamlessly as possible.
From cases to intelligent resolution
Customer service today is about more than responding to requests as quickly as possible. Above all, customers expect their issues to be resolved without unnecessary handoffs or repetition. On this basis, customer service is increasingly evolving toward intelligent, automated processes with the help of generative AI and AI agents.
Artificial intelligence is increasingly changing how customer issues are handled and resolved. Alongside traditional case management, GenAI and AI Agents are playing an increasingly important role. They not only support service teams with administrative tasks but can also take over individual steps within a service process.
Generative AI reduces the workload for service teams
A customer case can quickly become complex: Emails, chat histories, previous interactions, internal notes, and technical information may all need to be considered. With Now Assist, ServiceNow helps employees understand this context more quickly. Generative AI can, for example, summarize cases and interactions and create drafts for resolution notes. At this stage, AI primarily acts as an assistant: It reduces research and documentation effort, giving employees more time to focus on customers.
AI Agents go a step further
AI Agents are not limited to generating text. Within defined rules, they can retrieve information, determine the next processing step, and perform actions. ServiceNow already provides preconfigured agentic workflows for different customer service scenarios. These include:
- Case Triage: Analyze requests, extract information, and determine the appropriate next step.
- Customer 360: Provide relevant customer, product, case, and interaction information in context.
- Complaint Handling: Identify missing information, categorize complaints, and prepare possible next steps.
Unlike traditional GenAI, AI Agents do not simply assist with work; they can take over parts of it themselves.
From customer request to end-to-end resolution
The real value emerges when a customer issue is not treated as an isolated customer service case. A technical issue, for example, may also involve IT, a product specialist, or field service. On the ServiceNow platform, these processes can be connected: A customer case can trigger internal tasks, an incident, or a field service work order. For the customer, however, it remains a single issue. This is where AI can increasingly help by gathering information, providing context, coordinating tasks, and triggering the next process step. The focus is therefore shifting from case management toward end-to-end orchestration.
Self-service becomes more action-oriented
Self-service is also changing with AI Agents. Traditionally, self-service has often focused on providing information: displaying knowledge articles, answering questions, or showing the status of a case. With agentic AI, self-service can increasingly become an active service channel. Instead of simply explaining how an issue can be resolved, defined actions can be carried out directly or the appropriate processes can be initiated.
This is also a central idea in the ServiceNow e-book “Earning customer loyalty in the AI era”: AI should not only provide customers with faster answers but also reduce friction throughout the service process. AI Agents, connected data, and workflows can therefore help improve the customer experience.
More automation requires clear rules
The more tasks AI Agents take on, the more important governance and control become. Organizations need to define, for example:
- What data can an AI Agent access?
- Which actions can it perform independently?
- When is human approval required?
- How are completed actions documented and made traceable?
ServiceNow enables organizations to deploy agentic workflows with defined triggers, permissions, and controlled approvals. Autonomy therefore does not mean that an AI Agent can act without restrictions.
From case management to intelligent service orchestration
Customer service is thus evolving from the structured handling of individual cases toward an AI-powered service in which employees, workflows, and AI agents work together.
The key advancement is not simply managing a service case faster, but resolving the actual customer issue more quickly and as seamlessly as possible. You can find the core features, benefits, and use cases of the solution on our CSM page.
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