ServiceNow today announced AI Experience, a unified, conversational front door to enterprise AI. With its context‑aware interface, the new AI Experience unites people and AI in a seamless, multimodal environment with built‑in governance, security, and the trust and transparency customers need as they implement AI meant for scale. Building on the foundation of Now Assist, AI Experience extends across any workflow, including the company’s autonomous Customer Relationship Management (CRM) offering, to transform sales and service — positioned to drive revenue growth and lasting customer loyalty. In an agentic AI era, it elevates the traditional user interface (UI) and becomes the intelligent entry point for employees to access information, delegate tasks, and collaborate with AI.
Enterprises today suffer from decades of SaaS applications that define work in siloes and by departments. Many have dozens of separate AI solutions simply bolted onto existing systems, leaving employees juggling disconnected tools that don’t have access to the data they need to move work forward. With AI Experience, data, AI models, AI modalities, and workflows converge on a single, intuitive interface — empowering organizations to accelerate adoption, simplify access, and reduce employee AI learning gaps because ServiceNow works across workflows, not just a single app.
AI Experience represents a fundamental shift in how people interact with technology to get work done. It places AI at the forefront of the user experience with a powerful new multimodal, multilingual UI that allows instant access to voice, text, image, web, and build agents that are deeply connected to any part of the business, delivering context‑aware, personalized, and proactive interactions. AI Experience can anticipate needs, take action, and deliver results at enterprise scale.
With AI Control Tower — a central hub for governing, monitoring, and managing any AI asset, native or third‑party — enterprises can deploy AI Experience with confidence, giving them speed without losing security or control.
AI is the new UI: Putting AI at the center of how work gets done
At the core of AI Experience are intelligent, role‑aware AI agents that work side‑by‑side with employees to resolve issues, complete tasks, and drive outcomes. AI agents operate transparently, continuously learn, and give users full visibility and control, keeping AI always in the flow of work on one platform.
AI Experience introduces new capabilities such as:
- AI Voice Agents: Offer hands‑free support that retrieve information, update records, and troubleshoot complex issues with human‑like fluency.
- AI Web Agents: Learn from humans to complete tasks across third‑party apps and the web — clicking buttons, filling out online forms, and navigating internal sources and external systems, without APIs or integrations.
- AI Data Explorer: Connects insights across ServiceNow and external data sources via Workflow Data Fabric, helping users investigate trends, pinpoint root causes, and document findings without leaving their workflow.
- AI Lens: Turns what users see — screens, forms, and dashboards — into instant action, eliminating manual effort and accelerating decisions with AI‑powered automation.
Autonomous CRM: Driving revenue and customer loyalty
Through the single‑architecture, single data model of the ServiceNow AI Platform, AI Experience can be instantly applied across enterprise workflows, including CRM. This marks a shift from legacy SaaS systems that passively track customer interactions to an AI‑native, revenue‑driving AI operating system that resolves customer issues and improves customer loyalty at every turn.
AI Experience transforms CRM from a static system of record into an AI‑first system of action. Instead of forcing employees to jump from app‑to‑app, spend time configuring quotes manually, or stitch together fulfillment processes, AI agents take on the manual, repetitive work, like scanning tickets, flagging patterns, and recommending response plans. This allows human agents to focus on complex decisions and real‑time improvements.
In service, customers can get their issue resolved or request fulfilled through automation from the channel of their choice. In sales, a new AI‑powered Configure, Price, Quote (CPQ) solution accelerates quote generation that matches the customer’s need and frees sales reps to focus on customer relationships. Because AI agents and prebuilt workflows are built‑in, work moves smoothly across teams and tools. The result: problems get solved faster, costs can go down, employees stay focused on customers, and customers enjoy better experiences.
The foundation for enterprise‑ready AI
Rapid transformation to an AI‑first enterprise requires transparency, governance, and data to scale responsibly. The ServiceNow AI Platform delivers this foundation by uniting AI, data, and workflows to power autonomous actions — responsibly, transparently, and securely across the enterprise.
Building on the governance and security capabilities within the ServiceNow AI Platform, ServiceNow also introduced new capabilities for AI Control Tower that span cross‑platform onboarding, proactive risk and compliance monitoring, and real‑time value tracking. ServiceNow also announced Now Assist model provider flexibility, which enables customers to integrate and choose from ServiceNow’s platform‑native LLMs and third‑party providers such as Azure OpenAI, part of Microsoft Azure AI Foundry, Anthropic Claude on AWS, or Google Gemini models. This allows organizations to align the most suitable AI model with the distinct demands of each workflow on the ServiceNow AI Platform, at no additional cost. With Workflow Data Fabric, ServiceNow can connect, catalog, and govern data across systems, offering a comprehensive framework for AI.
Availability
AI Lens is now generally available. AI Voice Agents, AI Web Agents, AI Data Explorer, and AI‑powered CPQ are expected to be available by the end of calendar year 2025.
Additional Information
Read more about AI Experience from our President, Chief Product Officer, and Chief Operating Officer, Amit Zavery on the ServiceNow blog.
ServiceNow launches Autonomous Workforce that thinks and acts; adds Moveworks to the ServiceNow AI Platform
Posted in Commentary with tags ServiceNow on February 26, 2026 by itnerdServiceNow 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
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