The IT Nerd

Today, at ServiceNow’s annual customer and partner event announced a major expansion of its Autonomous Workforce, launching new AI specialists for IT, customer relationship management (CRM), employee service teams, and security and risk. Together with the previously announced L1 IT Service Desk AI Specialist, which is now available, these AI specialists complete end-to-end processes alongside humans to autonomously resolve cases, contain threats, manage incidents, and handle high-volume employee requests.

Enterprises today run on a patchwork of systems where talented people spend time answering routine questions, triaging backlogs, updating records, and racing between fire drills. The work that moves the business, such as strategic decisions, relationship building, and risk assessment, gets pushed to the margins as a result. Autonomous Workforce deploys role-scoped AI specialists embedded in proven workflows to deliver outcomes from start to finish, without human intervention.

Because AI specialists run on the same platform, they share the same operational intelligence (Configuration Management Database and Context Engine), data connectivity (Workflow Data Fabric), conversational front door (ServiceNow EmployeeWorks), and governance infrastructure (AI Control Tower). ServiceNow announced in April that all of these capabilities are now included across every product and package; not as add-ons but built-in by default. This allows enterprises to build on years of platform investment and achieve speed, scale, and oversight, without adding complexity or extending time to value. ServiceNow has also expanded the reach of its Autonomous Workforce to more customers in partnership with Amazon Web Services (AWS), Google Cloud, Microsoft, and NVIDIA, enabling AI specialists to deploy and run across the infrastructure enterprises already use.

Autonomous IT: from reactive firefighting to autonomous resilience

IT teams today face a backlog of unresolved incidents, security findings, and operational recommendations that grow faster than any team can act on, consuming bandwidth that should be going toward AI governance, strategic investment, and platform scale. The L1 IT Service Desk AI Specialist is already resolving assigned IT cases 99% faster than human agents within ServiceNow’s own help desk. Building on that foundation, ServiceNow is introducing a wave of new IT AI specialists spanning infrastructure monitoring, site reliability (SRE), asset lifecycle, portfolio planning, and more.

For example, a new specialist for AIOps autonomously detects anomalies, correlates events, and triggers remediation, while a specialist for SRE handles incident triage and postmortem documentation end to end, so IT teams can shift attention from reactive firefighting to strategic infrastructure investment. Other new AI specialists for common IT workflows give full visibility into hardware, software, and cloud assets across their lifecycle, and connect demand to capacity, budget, and resource availability in real time.

Autonomous CRM: AI that acts on customer interactions

Legacy CRM systems track sales activities and service interactions but don’t fulfill customer requests. Whether a customer is requesting a quote, asking to expedite an order, or disputing a charge, the goal should be to give them what they want, not open new opportunities or tickets. The gap between front-office interaction and back-office fulfillment is where customer experience breaks down. According to Ipsos research, sales representatives spend just 10 hours a week talking to customers. At the same time, ServiceNow’s CX Shift research shows that service agents still need to work in three to five systems to resolve a single customer issue, with the rest of their time lost to CRM updates, manual handoffs, and administrative overhead.

ServiceNow Autonomous CRM is built to finish the work, from speed of thought sales to customer service automation. Today, ServiceNow is introducing new AI specialists across the entire customer lifecycle, including sales qualification and quoting, order fulfillment, invoice disputes, service, and renewals. Starting with case management, an AI specialist can triage, solve, and escalate cases across channels, as well as generate custom quotes from meeting transcripts. Each month, ServiceNow Autonomous CRM resolves over 100 million customer cases, orchestrates over 16 million orders, and configures more than seven million quotes. These AI specialists go further, delivering quotes, orders, and issue resolution faster for customers.

Employee services: an AI workforce for every team, across every function

HR, finance, legal, procurement, and workplace services teams face structural challenges at scale, including rising case volumes and service desks dependent on manual triage. Based on ServiceNow estimates, 23 million employees use ServiceNow’s employee portal every month, generating an estimated 40 million-plus cases annually.

This is routine, repeatable work that’s ideal for autonomous resolution.

ServiceNow is introducing new AI specialists across HR, workplace services, legal, finance, procurement, supplier management, and health and safety. Each acts as a digital employee that is equipped with role-specific skills. Across ServiceNow’s customer base, they’ve been shown to resolve 91% of the cases without reassignment. Requests are deflected before they become cases, and when cases are created, they route directly to the right AI specialist.

This allows business operations teams to focus on tasks like workforce planning, supplier strategy decisions, financial planning, contract negotiations, and more.

Security and risk: containing threats in minutes

Security and risk teams are overwhelmed: vulnerabilities accumulate faster than teams can triage them, supercharged by AI-powered attack surface expansion; phishing incidents demand immediate investigation across disconnected tools; and manual response processes stretch resolution from minutes to hours. Legacy point solutions simply weren’t built to keep pace with the AI platform shift.

ServiceNow’s new Autonomous Security & Risk solution introduces AI specialists purpose-built to help eliminate growing backlogs across the full threat landscape, autonomously triaging and remediating vulnerabilities (including hardware-level), investigating and containing SOC incidents with humans-in-the-loop, and screening third-party vendor risk with instant summaries so teams focus only on what needs scrutiny. Together, they compress tasks that typically take days or hours into minutes, bringing identity visibility and governance, cyber asset intelligence, enterprise decision context, and autonomous security operations together on the ServiceNow AI Platform.

Availability

L1 IT Service Desk AI Specialist, CRM AI specialists, and AI specialists for employee service teams are available now. IT AI specialists are expected to be available in June 2026. The security and risk AI specialists are expected to be available for preview in June 2026 and generally available in September 2026.

Today, at ServiceNow’s annual customer and partner event, Knowledge 2026, ServiceNow launched Autonomous Security & Risk to govern every AI agent, identity, and connected asset. Armis delivers continuous asset intelligence across code, IT, OT, IoT, and connected assets. Veza provides fine-grained visibility, intelligence, and governance for human and non-human identities. The result of this combination is one of the most complete security, risk, and compliance platforms in enterprise AI.

Security and risk crossed $1 billion in annual contract value (ACV) for ServiceNow last year, making it one of the fastest-growing sources of demand on the ServiceNow AI Platform. The pressure is compounding as AI exponentially multiplies identities, permissions, connected assets, and decisions that require governance. AI agents acquire access, execute decisions, and operate at machine speed – and the non-human identities behind them already vastly outnumber human ones. Who approved that access, why it exists, and whether it remains valid are questions most enterprises cannot answer. Disconnected security tools cannot close this gap; a platform approach can.

Every AI agent is an identity, with most ungoverned

Every AI agent that acts inside an enterprise does so through an identity. It accesses systems, reads data, and executes workflows under a set of permissions that were almost certainly designed for human actors, rather than the speed, scale, or autonomy of AI agents. Closing the identity visibility, intelligence, and governance gap is critical.

Veza’s Access Graph provides a continuous, real-time map of every access relationship across an enterprise environment, including what has access, what it can do with that access, and how these change as context shifts, systems evolve, and agents multiply. With Veza now integrated into the ServiceNow AI Platform, this capability governs both human and non-human identities within a single operational framework: surfacing risk, enforcing least privilege at the point of action, triggering downstream remediation, and building the traceable institutional memory that auditors and regulators require. ServiceNow Veza works in concert with ServiceNow’s existing vulnerability, exposure, and incident management capabilities to close pre-breach & post-breach exposure: governing who and what has access and continuously identifying and remediating permission-related vulnerabilities.

You cannot secure what you cannot see

Asset visibility has always been a foundational requirement of enterprise security, along with a persistent failure point. The environments enterprises operate in today span pre-compiled code, IT infrastructure, operational technology, connected devices, cloud workloads, medical equipment, and now AI agents, interacting across boundaries that no single tool was ever meant to fully see.

Once integrated into ServiceNow, Armis will deliver real-time, contextual awareness of every connected cyber asset, including the devices and systems conventional tools had no visibility into. Armis will monitor network traffic without agents, without disrupting operations, and enrich every asset record with device type, classification, firmware version, behavioral data, and real-time risk posture. This intelligence flows directly into the ServiceNow CMDB, turning a hitherto static inventory into a live picture of the actual attack surface. When an asset is found to be vulnerable, misconfigured, or behaving anomalously, ServiceNow responds at machine speed, in accordance with prevalent environmental context.

Together, Veza and Armis boost ServiceNow’s standing as a platform that knows what exists in the environment and who or what is permitted to interact with it. This real-time asset intelligence feeds directly into ServiceNow’s security incident response workflows, so the same context used to assess risk before a breach is immediately available to contain it after.

The blueprint for trusted AI

When AI acts inside an enterprise, it must do so with the full business reality behind every decision, including governed permissions, continuous oversight, and an audit trail that holds under scrutiny. That is what Autonomous Security & Risk delivers. Asset intelligence, identity governance, risk management, and workflow automation operating as a single system, with AI running across all of it. Two new AI specialists, announced today as part of ServiceNow’s autonomous workforce expansion, handle vulnerability resolution and security operations end to end, autonomously addressing unresolved vulnerability backlogs and investigating phishing incidents alongside human teams.

The ServiceNow AI Control Tower governs agents, ensuring they are inventoried from the moment they appear, risk-scored continuously, and least privilege enforced in real time. Evaluations score agents as they run. If something drifts, the AI Control Tower is able to catch it before it compounds. A2A and MCP interoperability means any agent, on any platform, operates within a governed framework that connects decisions to context and accountability to action. That same governed framework extends across ServiceNow’s partner ecosystem, so the third-party security tools enterprises already rely on feed into a continuously updated picture of enterprise posture. ServiceNow’s own security operations team runs Autonomous Risk & Security, handling incidents seven times faster than prior workflows using AI agents, with every action documented and every decision traceable.

Organizations are already seeing results on the ServiceNow AI Platform. A global energy company operating across 70+ countries saved 1.2 million hours by automating security operations and cut the time it takes to contain threats by 97%. A major U.S. financial services institution eliminated 96% of dormant non-human identities, turning least privilege from a policy goal into an enforced reality. A Fortune 100 aerospace manufacturer reduced the time to complete control attestations by 75% and close compliance gaps by 85%, replacing manual audit prep with evidence that captures itself.

Enterprises that establish this foundation of complete visibility, governed identities, integrated risk, and autonomous response will be decisively ahead as AI accelerates further. ServiceNow gives security and risk leaders a single view of how exposure, incidents, and identity decisions translate to enterprise risk posture in real time, with the audit trail regulators require.

Today, at ServiceNow’s annual customer and partner event, Knowledge 2026, ServiceNow expanded its AI Control Tower offering with new capabilities that give enterprises control over every AI system, agent, and workflow.

AI Control Tower, first introduced at Knowledge 2025, has evolved from visibility and management into a comprehensive, end-to-end solution that lets customers act with confidence across five dimensions:

• Discover finds AI assets once deployed across the organization — including systems beyond ServiceNow — through 30 new enterprise integrations spanning Amazon Web Services (AWS), Google Cloud, and Microsoft Azure, and enterprise applications such as SAP, Oracle, and Workday. Discovery also extends to non-human identities and connected devices, bringing OT and IoT assets into the same governance model as AI agents and cloud services.
• Observe provides continuous monitoring with live alerts, replacing periodic audits. Through the recently completed acquisition of Traceloop, AI Control Tower now delivers deep observability into AI agent behavior at runtime, giving teams visibility into how agents reason, where they make decisions, and when to course-correct.
• Govern delivers AI-driven risk assessment and automated remediation across all types of AI, not only agents but also models, data sets, prompts, and classic machine-learning. Five new risk frameworks aligned to NIST and EU AI Act standards provide compliance controls out of the box.
• Secure extends identity access governance to hyperscaler AI environments and every connected device through integration with Veza, bringing patented access graph technology, scoped permissions, and least-privilege enforcement to every AI system, agent, and identity. When an agent goes off script or operates beyond its permissions, AI Control Tower can detect it and shut it down in real time — giving organizations the kill switch they need as agents take on more critical work.
• Measure provides cost tracking and ROI dashboards that give customers financial control as they scale AI— addressing runaway model spend — one of the most pressing challenges enterprises face as AI deployments grow.

This approach is powered by two decades of enterprise operational data accumulated through 100 billion workflows and 7 trillion workflow transactions annually, and anchored by the ServiceNow CMDB and Context Engine, which is designed to map digital assets to the services, people, and processes it supports. Enterprises can sense signals across their full digital estate, decide with live business context, act through autonomous workflows, and secure every agent action. Standalone governance tools simply cannot replicate this. In addition to its existing integrations with Anthropic and OpenAI, ServiceNow has also announced deepened AI Control Tower integrations with AWS, Microsoft, and other LLM providers, extending governance and observability across the infrastructure enterprises rely on most.

Additionally, for all customer Model Context Protocol (MCP) transactions, a new AI Gateway provides real-time controls for agentic workloads, with governance, observability, and security for full visibility across any third-party AI system.

Availability

Features announced today and many more as part of the ServiceNow AI Platform Australia release are available on a rolling basis beginning April 2026. AI Control Tower enhancements enter Innovation Lab in May with general availability expected in August 2026. Full details can be found in the ServiceNow Store.

Additional information

Read more about the ServiceNow AI Platform Australia release.

ServiceNow today announced that its entire product portfolio will be AI-enabled. Every ServiceNow product now includes AI, data connectivity, workflow execution, security, and governance built-in. This shift enables organizations to accelerate their AI ambitions and help ensure they get the most value from AI by bringing together the critical components required for enterprise-scale delivery: a conversational front door (ServiceNow EmployeeWorks), connected data for cross-enterprise context (Workflow Data Fabric), visibility and governance (AI Control Tower), and autonomous workflows that can move from assisting people to acting on their behalf. ServiceNow also unveiled Context Engine, an enterprise context solution that connects relationships, policy, and decision history behind every AI agent decision, and new ServiceNow Build Agent skills that open the platform so that developers can build from any tool they already use and deploy directly to ServiceNow.

The enterprise software landscape has a fragmentation problem. The average enterprise runs hundreds of applications, each with its own data model, security perimeter, and governance logic. Most providers are making it worse, bolting intelligence onto disconnected systems as a sidecar that can’t execute across the enterprise with real context or accountability. ServiceNow is moving beyond a patchwork of AI add-ons towards a unified platform, combining intelligence that understands context with workflows that can act on it.

Context Engine: enterprise context for every AI decision

Every AI agent is only as good as the context it operates in. Context Engine gives ServiceNow AI and workflows the context to sense what’s happening across the enterprise, decide the right course of action, act with precision, and govern every outcome accountably. For example, it knows which asset is tied to a regulated process, which approval chain applies to a given cost threshold, and which vendor history should inform how a request is handled.

With 85 billion workflows and seven trillion transactions, ServiceNow is uniquely positioned to ground LLMs in an organization’s specific strategy and make better decisions with AI. Context Engine compounds intelligence with every human and agent decision made, growing smarter about how a business works, not just about language. Built on ServiceNow’s Service Graph, Knowledge Graph, and data inventory, Context Engine draws from a breadth of enterprise signals, including identity relationships, asset dependencies, business intelligence, and data lineage that AI queries in real time.

ServiceNow SDK and Build Agent skills open ServiceNow to every developer, from any tool

On April 15, developers will be able to build with any tool they already use — including Antigravity, Claude Code, Cursor, OpenAI Codex, Windsurf, and others — and deploy directly to the ServiceNow AI Platform. The ServiceNow SDK and new Build Agent skills work across every major AI development environment, so developers stay in their preferred integrated development environment (IDE) while citizen developers describe a workflow in plain language. The result is a working app on ServiceNow in minutes, based on testing scenarios.

For teams developing on top of the company’s pre-built apps, ServiceNow Studio with embedded Build Agent delivers the deepest AI-native development experience on one platform. Fully instance-connected, it understands live data models, active scopes, table relationships, and business rules in real time, enabling it to surface the right fields, dependencies, and extension points as developers build.

Every custom app and AI agent is governed by AI Control Tower and App Engine Management Center, and inherits the same identity framework. To get started, customers will receive 100 free Build Agent calls, and personal developer instances will include 25 free Build Agent calls.

AI, data, security, and governance now in every product offering for customers of any size

ServiceNow is releasing a new tiered offer model that spans AI assistance, agentic automation, and fully autonomous operations across the entire portfolio. For midsize companies that need enterprise-grade service management without months-long deployment, ServiceNow is introducing Enterprise Service Management (ESM) Foundation. ESM Foundation brings together IT, HR, legal, finance, procurement, and workplace services onto the ServiceNow AI Platform, which can be live in weeks. With AI-driven setup, AI assistance for employees, and automation to improve service team performance, organizations get fast ROI on a scalable foundation that grows with them.

Every ServiceNow customer now starts with a complete AI package — no separate purchase, no procurement project, and no integration required. From AI-powered automation capabilities to more agentic AI features, customers can choose the level that’s right for them. ServiceNow is model agnostic by design, giving customers the flexibility to leverage their preferred provider. Intelligence will keep getting cheaper. Trusted execution will keep getting more valuable.

Availability

ESM Foundation and the new packaging model are now available for all customers. Build Agent skills will be available to developers on April 15. Context Engine is available for preview with select customers, and full availability details will be shared at a later date.

Canadian enterprises are accelerating AI adoption in customer service, but new data suggests they may be pulling back from the channel customers rely on most when it matters. 

According to new ServiceNow research: 

• 85% of customers prefer a human phone call for complex issues 
• Just 10% of executives plan to prioritize phone support over the next three years 
• 59% cite lack of empathy as their top service frustration 

At the same time, two-thirds of customers want self-service for simple issues, and nearly half expect AI to improve speed and efficiency. The tension is clear: customers want automation for convenience, but human connection for resolution and trust. 

As Canadian tech companies build and deploy AI-first CX platforms, are they enabling better human interactions, or quietly optimizing them away? 

Find out more here: https://www.servicenow.com/workflow/crm/cx-shift-study-expectations-ai-era.html

ServiceNow today launched Autonomous Workforce, AI specialists that can execute jobs with the scope, authority, and governance required for enterprise work – freeing people to focus on strategic problem solving and personalized service. Just two months after the Moveworks acquisition close, the company also introduced ServiceNow EmployeeWorks, which combines Moveworks’ conversational AI and enterprise search with ServiceNow’s unified portal and autonomous workflows to turn natural language requests into governed, end to-end execution for nearly 200 million employees.

As enterprises evaluate AI platforms, two competing paradigms have emerged: feature-function AI bolted onto disconnected SaaS apps, and unified platforms that execute work through proven enterprise workflows with AI built in. The difference is fundamental: the feature approach requires enterprises to maintain, integrate, and manage the complexity themselves. ServiceNow eliminates the complexity by unifying conversational AI, workflows, enterprise data, security, and governance on a platform purpose-built for mission-critical operations.

Autonomous Workforce: AI teammates execute jobs in partnership with people

ServiceNow’s Autonomous Workforce deploys AI specialists with defined roles to augment teams. Unlike AI agents that complete individual tasks, the ServiceNow Autonomous Workforce orchestrates teams of AI specialists with roles such as a Level 1 Service Desk AI Specialist, Employee Service Agent, or Security Operations Analyst to execute work from start to finish. They work alongside humans, follow established processes and policies set by the organization, learn from outcomes and employee feedback, and importantly, improve over time.

Today, ServiceNow is introducing the first AI specialist available out-of-the-box for customers, a Level 1 Service Desk AI Specialist. This AI specialist autonomously diagnoses and resolves common IT support requests end to end — password resets, software access provisioning, network troubleshooting — using enterprise knowledge bases, historical incident data, and proactive remediation workflows. It is designed to operate 24/7 with assignments aligned to specific skillsets and deliverables and escalate issues when human intervention is needed.

At ServiceNow, our Autonomous Workforce is handling 90%+ of employee IT requests. Early results show our newest AI specialist, the L1 Service Desk AI Specialist, is already resolving assigned IT cases autonomously, and it’s 99% faster than when these cases are handled by human agents.

AI models without workflows are probabilistic — they see patterns, form ideas, and give different answers for the same questions. The enterprise, however, needs deterministic outcomes — governance, security, auditability, and operations that don’t hallucinate. Because ServiceNow combines probabilistic intelligence with deterministic workflow orchestration, AI specialists can interpret a request, decide the right action using business context, and execute autonomously across systems with governance built in through the ServiceNow AI Control Tower. Every action is traceable and governed by policies embedded in the workflow layer itself.

ServiceNow EmployeeWorks: Consumer AI experiences meet enterprise-grade execution

ServiceNow is bringing the power of Moveworks to the ServiceNow AI Platform and delivering immediate value to customers with ServiceNow EmployeeWorks, a conversational front door for the enterprise. Available where employees already work and collaborate – whether in Teams, Slack, or on any browser – ServiceNow EmployeeWorks connects Moveworks’ conversational AI chat and deep enterprise search with ServiceNow’s unified portal and autonomous workflows, turning intent into coordinated action across systems.

The platform understands organizational structure, approvals, and authorization — executing tasks that require multi-system coordination while maintaining governance and audit trails.

Availability

• ServiceNow EmployeeWorks is generally available to customers.
• The first AI specialist for Autonomous Workforce, a Level 1 Service Desk AI Specialist, is expected to be generally available Q2 2026.
• Moveworks continues to be offered as a standalone product within the ServiceNow portfolio. Organizations can acquire the Moveworks platform as an independent AI solution or as an integrated component of their ServiceNow deployment, ensuring flexibility in enterprise-wide implementation.

ServiceNow today announced an expanded relationship with Panasonic Avionics Corporation, a global leader for in-flight engagement. Panasonic Avionics will replace siloed legacy systems with ServiceNow CRM and Now Assist, integrated with Aria Billing Cloud and Tenon Marketing Automation, to modernize and unify sales, service, marketing, and billing formore than 300 airlines worldwide with real-time customer insights and AI-driven workflows. With this expansion, the ServiceNow AI Platform powers Panasonic Avionics across its enterprise, supporting IT, customer service, engineering, and HR.

The challenge: legacy systems limited real-time visibility across 300+ airlines

Panasonic Avionics has consistently been at the forefront of aviation innovation, delivering in-flight engagement services such as high-speed internet, seatback and personal-device entertainment, on-demand TV, and interactive maps. As the business grew, the company needed a single platform to replace legacy, siloed CRM and billing systems.

The solution: ServiceNow connects sales, service, and billing on a single AI-powered platform

ServiceNow CRM’s AI agents, data, and workflows connect Panasonic Avionics’ customer operations to drive better experiences while helping cut costs. ServiceNow Sales and Order Management for Telecommunications, including Logik.ai from ServiceNow’s configure-price-quote (CPQ) capabilities, replaces legacy systems to accelerate deal configuration and speed the sales process from opportunity to order fulfillment. Now Assist, ServiceNow’s native AI experience, delivers AI-powered case resolution, proactive service recommendations, and self-service automation to help Panasonic Avionics address airline customer needs faster and improve operational efficiency.

Integrations with Aria Billing Cloud via the Aria Billing Studio for ServiceNow app, along with Tenon Marketing Automation, extend ServiceNow’s ability to provide complete lead-to-cash capabilities. By unifying pricing, billing, and marketing on the ServiceNow AI Platform, Panasonic Avionics gains a real-time, end-to-end view of customers and services. This enables faster sales response, streamlined service delivery, and AI-driven insights across the business.

Building on a long-standing partnership

In 2019 Panasonic Avionics implemented ServiceNow Customer Service Management to accelerate self-service, increase productivity, and speed up issue resolution. With the added CRM and Now Assist capabilities, ServiceNow has become the foundation of Panasonic Avionics’ enterprise platform, supporting the company across IT, HR, service, and engineering with plans to deliver additional AI-powered experiences.

ServiceNow and OpenAI today announced an enhanced strategic collaboration to power agentic AI experiences and accelerate enterprise AI outcomes. The agreement unlocks a deep collaboration between OpenAI technical advisors and ServiceNow engineers that will be equipped with its frontier models, which will give customers direct access to frontier capabilities, custom ServiceNow AI solutions built and aligned to their unique roadmaps, and increased speed and scale with no bespoke development required. ServiceNow will build direct speech-to-speech technology using OpenAI models to break through language barriers and offer more natural interactions. With the latest OpenAI models including GPT-5.2, ServiceNow will unlock a new class of AI-powered automation for the world’s largest companies.

Co-innovation that drives faster, easier customer adoption

As AI model releases accelerate, large enterprises need help keeping their workflows aligned with the latest innovations. Bringing OpenAI models into the ServiceNow AI Platform complements a customer’s ServiceNow configuration management database (CMDB) while also offering native, embedded access to intelligence to further inform actions that will be taken within workflows. ServiceNow’s AI Control Tower then provides the governance and orchestration layer, giving organizations centralized visibility into how models are applied across workflows, how they interact with enterprise data and systems, and how AI-driven actions are executed at scale in a controlled, auditable way. For example:

• Real-time speech-to-speech voice agents: With OpenAI, ServiceNow is working toward real-time speech-to-speech AI agents that can listen, reason, and respond naturally without text intermediation. For example, a user can speak in their preferred language and receive an instant response from an AI agent that opens a case, triggers an approval, and orchestrates next steps without translation delay — reducing latency, preserving meaning, and eliminating unnecessary handoffs.
• Super charging automation: Computer-use models from OpenAI unlock a new class of IT automation for ServiceNow customers by enabling interactions with systems. By turning unstructured documents into actionable data, this capability extends secure, context-aware automation across more environments — enabling autonomous orchestration of workplace tools like email and chat, automation of legacy systems including mainframes, and greater efficiency across complex IT landscapes.

Delivering AI impact on a foundation of proven success

This agreement builds on the long-standing efforts of ServiceNow to offer customers the choice of accessing OpenAI models for:

• AI assistance that lets employees ask questions in natural language and get clear, actionable answers through speech-to-text capabilities.
• AI-powered summarization and content generation for incidents, cases, knowledge articles, and service interactions — helping teams resolve issues faster with less manual effort.
• Developer and admin tools that turn intent into workflows, logic, and automation, dramatically speeding how business processes are built and updated.
• Intelligent search and discovery that pulls the right information from across enterprise systems exactly when it’s needed.

ServiceNow powers more than 80 billion workflows every year. Together with OpenAI, the company is bringing customers innovative new capabilities that enable even more advanced automation and workflows across industries and across use cases.