ServiceNow Debuts AI Experience as a Unified ‘Front Door’ to Enterprise AI

Most tech companies aren’t rebuilding their platforms around AI—they’re layering it on top of existing systems. ServiceNow is taking a bolder approach with the launch of AI Experience, a conversational, context-aware interface that blends AI and users in ways that could change how enterprises interact with software. It’s a new front door to all your apps and data, but ServiceNow doesn’t want you calling it a UI refresh.

“Each major shift from command lines to [graphical user interface], desktops to mobile, the mouse to touch, gesture and voice, has fundamentally rewritten the rules of work. And AI too is definitely transforming not just what we do today, but we do everything,” Amit Zavery, ServiceNow’s president and chief product and operating officer, shared during a press briefing last week. “In each previous shift, enterprise technology also created legacy, siloed problems, which are becoming a big issue for every enterprise we speak to nowadays. So instead of being smarter, it became messier—more systems, more apps, more overwhelming complexity. Employees are now drowning in disparate tools, struggling to find answers across isolated islands of data.”

An “intuitive, multimodal, and action-oriented” platform, AI Experience promises to deliver results, not more noise. Zavery describes it as a “ground-up rethink,” creating a single platform powered by a unified data model that can work with any model, data source, and/or cloud offering. He asserts that AI Experience is not a superficial add-on to legacy tools, but a unique way to shift how work flows across the people, processes, and systems.

What You Get With AI Experience

“We’re putting AI at the center of your user experience,” Amy Lokey, ServiceNow’s executive vice president and chief experience officer (CXO), attests. “Prompts are really replacing pages, conversations replace clicks, and AI becomes your most valuable teammate. There’s no jumping between tools [or] no training people on something new—just intelligence and action where and when you need it.”

She emphasizes that AIX, as the company refers to it colloquially, is not a “sidecar feature.” Rather, it’s “proactive, guides work, anticipates needs, and streamlines tasks. Interaction is now multimodal, and users can seamlessly move from text-to-voice, interface and artifact.”

ServiceNow’s AI Experience is powered by NowAssist, the company’s generative AI workflow automation service. It elevates the traditional UI workers have been accustomed to for the agentic AI era, becoming an intelligent entry point for accessing information, delegating tasks, and working alongside AI. This new offering also integrates with ServiceNow’s AI Control Tower, which debuted in May as the centralized command center for all AI agents, models, and workflows.

But it’s much more than just a pretty design—AI Experience is equipped with four specialized bots: AI voice agents, AI web agents, AI data explorer, and AI lens. All are new to the ServiceNow platform, designed to work in the flow of work.

AI Voice Agents

As one would expect, AI voice agents are bots that workers can interact with hands-free. Using a voice prompt, they will retrieve information, update records, and troubleshoot complex issues. Sometimes it’s easier to describe the problem that needs to be solved versus typing it out, so voice agents could be a valuable tool in the workplace.

AI Web Agents

These bots can complete tasks across third-party apps and the web, including clicking buttons, filling out online forms, and parsing through internal and external systems without requiring APIs or integrations. Lokey touts that ServiceNow’s web agents “take action just like a human, only faster, more reliably, and at scale.”

“Imagine hundreds or even thousands of web agents doing work on your behalf, installing security patches, onboarding new hires, updating CRM records, or closing out finance approvals—every system connected and every repetitive task automated.”

AI Data Explorer

This bot provides insights gathered between ServiceNow and third-party data sources through ServiceNow’s Workflow Data Fabric. It can be used to probe trends, identify root causes, and document findings without requiring users to abandon their current workflow. As Lokey describes it, this agent is built for more strategic tasks.

AI Lens

The final agent is designed for visual information. It converts screens, forms, dashboards, and any other content a user sees into an actionable item. “You run into a system error while working, and you snap a screenshot of this and hope someone else can figure it out, because you have no idea what that error code means. The AI Experience can scan this screenshot, understand the error code, and in moments, explain what the issue is and suggest a fix. So this is AI ready to help in any way that you work,” Lokey shares.

With these four features, ServiceNow’s AI Experience spans text, voice, web, image, and data, offering agentic support that works alongside employees to troubleshoot problems, complete tasks, and drive outcomes. And despite being proactive bots, the company affirms that they’ll be transparent, continually improve, and provide users with full visibility and control.

AI Lens is the only feature currently generally available. The AI Voice Agents, AI Web Agents, and the AI Data Explorer are expected to launch by the end of this year.

Extending the Reach of AI Control Tower

ServiceNow considers its AI Control Tower to be the “single pane of glass” that provides visibility into everything AI-related happening across the enterprise. When it was first unveiled five months ago, the tool was designed to give companies the tools to direct the new digital workforce, one in which human employees need to coordinate agentic work.

Today, AI Control Tower is receiving an update that enables it to automatically discover AI agents across multiple systems. To be clear, AI Control Tower already works across various systems; however, the tool will now integrate those bots into its platform without requiring manual assistance.

“All I need to do is create this auto-discovery setup: I give it the link to my system, and just like that, new AI agent, as they get created in a different system, they can become available within ServiceNow,” Dorit Levy-Zilbershot, the company’s group vice president of product management for AI experiences and innovation, remarks. “So I can manage them in a single location. I can go and see exactly what model they’re using, so if we’re changing to a new model, I can understand the impact. I can also see what evaluation data sets were created to test this specific AI agent, and I can also look at risk and compliance, fully understanding who gave the approval.”

How CRM Is a ‘High-Impact Use Case’ for AIX

Interestingly, among all its applications, ServiceNow chooses to highlight its CRM platform in this announcement. The Salesforce rival was also introduced in May, and spotlighting it now raises its profile ahead of Salesforce’s Dreamforce conference, scheduled to take place later this month. Lokey defends the attention, saying CRM is a “high-impact use case” for AI Experience, though only just the beginning.

“CRM is where the pain of disconnected systems is most visible,” she writes in an email. “Traditional CRMs track data—they don’t drive action. Our customers want more than digital filing cabinets. They want systems that move the needle. With AI Experience, CRM becomes an autonomous system of action. Sales teams get AI-powered CPQ that speeds quoting and boosts accuracy. Service teams get agents that resolve issues before they escalate. And because everything runs on one platform, organizations see faster resolutions, lower costs, and stronger customer loyalty.”

To that end, ServiceNow is giving its CRM software the AI Experience treatment. The company boasts it’s the first CRM that is “AI native, real-time, and drives action across the enterprise.” As Terence Chesire, ServiceNow’s vice president of product management for ServiceNow CRM, puts it, “We’re replacing traditional CRM with an AI native system of action, one that breaks down siloes, automates workflows, and uses AI to free your teams, to thrill your customers, and accelerate your growth. This is purpose-built for sales fulfillment service and customer success. AI agents unlock new levels of automation to make self-service real and unlock new levels of productivity.”

However, the CRM tie-in isn’t the only notable aspect; it’s the AI-powered CPQ, or Configure, Price, and Quote, that Lokey referenced. A byproduct of ServiceNow’s acquisition of startup Logik AI, this feature uses AI to streamline the quoting process. Chesire claims traditional CPQ solutions are slow and clunky, with sales reps opting to email spreadsheets to sales operation teams instead of using a “slow, kludgy system” or waiting for approvals.

With this updated CPQ feature, it “brings a modern AI-powered CPQ that helps sellers navigate solutions rather than complex product catalogs and configure quotes that match buyers’ needs with company pricing and compatibility rules so sellers can quote in seconds and not hours.” Chesire would go on to add that AI CPQ provides a single view for sellers to configure quotes for customers, displaying previous chat histories and recommendations that can be used to create tailored offers for customers.

ServiceNow’s AI-powered CPQ is scheduled to be generally available by the end of 2025.

The New Way to Use Software in the AI Age

ServiceNow’s desire to create a central point of AI interaction for users appears to mirror a trend among other tech providers to eliminate context switching, also known as app hopping. Slack, Asana, Dropbox, Glean, and Atlassian are examples that have implemented features to curate data and serve as the primary work destination. When asked how ServiceNow’s stance differs from those of other enterprise platforms, Lokey responds:

“Most platforms offer copilots or chatbots bolted onto individual tools—useful, but limited. They’re siloed, lack context, and rarely drive outcomes. AI Experience is different. It’s not a chatbot. It’s the action layer of the enterprise.”

“Because it’s built natively into the ServiceNow AI platform, AI Experience understands the full context of your workflows, data, and systems,” she continues. “That means our AI agents don’t just answer questions—they anticipate needs, take action, and deliver results across departments…This isn’t AI as a layer. It’s AI as the experience.”

Does AI Experience signal a new way for people to interact with enterprise software? For some users, traditional software comes with a steep learning curve. A conversational, context-aware interface like ServiceNow’s could reduce the training needed—and potentially eliminate the need for certification programs—if executing tasks is as simple as issuing a prompt.

Beyond ease of use, it could shift how organizations think about software adoption and employee productivity. If AI can interpret dashboards, forms, and workflows in real-time, the emphasis shifts from mastering the tool to achieving outcomes. This also raises the bar for competitors, who may need to integrate similar agentic capabilities to stay relevant in a market increasingly defined by AI-driven usability.

Regardless, Lokey seeks to reinforce that AI Experience is not a UI refresh. “It’s a shift to a unified, multimodal interface that brings voice, text, image, and automation into one intuitive entry point,” she stresses. “It connects any data, any model, and any workflow. It’s the front door to enterprise AI—and it’s built to deliver outcomes, not just answers.”

Featured Image: Credit: ServiceNow