Why governance is becoming the foundation of successful enterprise AI

From GenAI to Agentic AI

ServiceNow Knowledge is ServiceNow’s flagship annual conference and ranks among the most important international events focused on enterprise service management, workflow automation, and artificial intelligence in the corporate environment. At the event, ServiceNow presents its strategic product roadmap, new platform features, and innovations for IT, customer service, HR, security, and digital business processes.

This year’s Knowledge 2026 in May was dominated by Agentic AI and autonomous AI agents, with a focus on

• the new AI Control Tower,
• the AI experience “Otto”,
• governance and security for enterprise AI,
• the Workflow Data Fabric, and
• the opening of the platform to external AI agents.

It became clear that the successful deployment of enterprise AI will depend less on individual AI models in the future and more on governance, data quality, and controlled integration into existing business processes.

AI Control Tower: ServiceNow puts governance front and center

One of ServiceNow’s most significant product announcements was the new AI Control Tower. With this, ServiceNow is addressing one of the biggest challenges currently facing many companies: a lack of transparency and control over AI systems.

With the increasing adoption of copilots, GenAI tools, AI agents, and various large language models (LLMs), many organizations are facing new challenges related to governance, compliance, data security, auditability, and policy enforcement.

This is exactly where the ServiceNow AI Control Tower comes in. Among other things, the new solution enables:

• centralized management of AI agents
• monitoring and traceability of AI activities
• policy and approval controls
• risk and compliance management
• security and governance mechanisms for autonomous processes

With this, ServiceNow is increasingly positioning itself as a platform for Governed AI—that is, AI that does not operate in isolation but rather functions in a controlled manner and is embedded within existing business processes.

Otto: ServiceNow unveils autonomous AI agents for enterprise workflows

Another key topic at Knowledge 2026 was the new AI experience “Otto”. With Otto, ServiceNow is significantly expanding the use of AI beyond traditional assistance functions, combining Now Assist (generative AI), Moveworks (agentic AI), and AI Experience. Otto is designed to enable AI agents to operate autonomously within defined business processes. Among other things, the agents can:

• execute tasks,
• consolidate information in context,
• prepare decisions,
• initiate approvals,
• orchestrate workflows, and
• process service workflows autonomously.

ServiceNow integrates Otto directly into existing platform areas such as:

• IT Service Management (ITSM)
• Customer Service Management (CSM)
• HR Service Delivery (HRSD)
• Security Operations
• Finance
• Procurement
• CRM

The combination of AI and governance is particularly relevant here: the agents do not operate outside the platform, but rather within defined guidelines, role models, and security mechanisms.

This approach thus differs significantly from many standalone GenAI solutions, which can generate content but do not enable controlled process execution in an enterprise environment.

Workflow Data Fabric becomes the foundation for enterprise AI

In addition to AI agents and governance, data architecture also played a central role at Knowledge 2026.

With the expanded Workflow Data Fabric, ServiceNow is further expanding its platform for integrated data and process orchestration. The goal is to make data from different systems consistently usable for AI processes.

According to ServiceNow, the platform now includes hundreds of integrations and connectors to consolidate data from various enterprise systems—without relying on traditional, complex ETL structures.

The strategic importance behind this is clear: autonomous AI agents require

• consistent data,
• up-to-date contextual information,
• standardized processes, and
• controlled data flows.

It is precisely in this area that many companies still struggle today with

• legacy system landscapes,
• inconsistent data,
• fragmented processes, and
• incomplete service management structures.

The Workflow Data Fabric is designed to close this very gap and create a shared data foundation for AI-powered processes.

Action Fabric opens ServiceNow to external AI systems

With the new Action Fabric, ServiceNow is opening its platform more widely to external AI agents and third-party models. This will allow external AI systems to interact directly with ServiceNow workflows in the future, such as solutions from

• Microsoft,
• Google Cloud, or
• NVIDIA.

The strategic direction behind this is clear: ServiceNow aims not only to provide a single AI solution but to become the central control and governance layer for various AI technologies.

For businesses, this platform approach is likely to become crucial in the future, as most organizations will work with multiple AI models and providers in parallel over the long term.

New AI features for ITSM, Customer Service, and HR

In addition to major platform announcements, ServiceNow unveiled numerous new AI features for existing product areas, such as:

• AI-powered ticket handling
• Automatic summaries
• Intelligent next-best actions
• Contextual knowledge suggestions
• Autonomous service processes
• Enhanced self-service features

The focus was clearly on productivity and operational efficiency: Recurring tasks are to be increasingly automated, while employees can focus more on value-added activities.

What ServiceNow Knowledge 2026 reveals strategically

Knowledge 2026 made it clear that the enterprise market is entering the next phase of AI transformation. While the focus in recent years has primarily been on GenAI capabilities and copilots, the discussion is now shifting toward:

• AI Governance
• Controlled Automation
• Autonomous AI Agents
• Data Architecture
• Security
• Enterprise-wide orchestration

ServiceNow is increasingly positioning itself as a platform for enterprise AI, AI governance, workflow orchestration, and autonomous business processes.

For companies, this means one thing above all: The successful use of AI will depend less on individual AI models in the future and more on the ability to deploy AI securely, in a controlled manner, and integrated into existing business processes.

For more information on ServiceNow Knowledge 2026, click here:

Day 1: Knowledge 2026 Day 1 keynote: Welcome to agentic business
Day 2: Knowledge 2026 Day 2 keynote: The blueprint for agentic business
Highlights: The top moments from Knowledge 2026
Video: AI conversation
All videos: Keynotes, Insights und Takeaways