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TECHx
14-05-2025
- Business
- TECHx
ServiceNow Debuts AI Control Tower for Enterprises
Home » Tech Value Chain » Global Brands » ServiceNow Debuts AI Control Tower for Enterprises ServiceNow (NYSE: NOW), the AI platform for business transformation, has announced the launch of its new AI Control Tower. The centralized solution is designed to govern, manage, secure, and derive value from ServiceNow and third-party AI agents, models, and workflows, all from a single unified platform. The company stated that AI Control Tower helps businesses optimize their AI investments and ensures seamless, responsible integration into enterprise strategies. Alongside this launch, ServiceNow also revealed AI Agent Fabric, a new system that enables advanced communication and collaboration between AI agents and models. This move, according to the company, marks a significant step forward in orchestrating agentic AI across the enterprise. The company confirmed that partners including Accenture, Adobe, Box, Cisco, Google Cloud, IBM, Jit, Microsoft, Moonhub, RADCOM, UKG, and Zoom will be among the first to offer integrations with AI Agent Fabric. These integrations are intended to support seamless enterprise workflows across third-party agents. Citing Gartner® research, ServiceNow noted that by 2028, enterprises using AI governance platforms could achieve 30% higher customer trust and 25% better regulatory compliance scores than competitors. ServiceNow said its AI Control Tower provides AI management at scale, allowing customers to track all AI agents, understand their roles, assign human oversight, and maintain security. Amit Zavery, President, Chief Product Officer, and COO at ServiceNow, commented that as AI agents continue to expand across organizations, coordinating their activities becomes critical. He emphasized that AI Control Tower helps businesses manage AI workforces similar to human teams—aligned, coordinated, and optimized to deliver measurable impact. The company outlined several core capabilities of AI Control Tower: Centralized visibility of all AI agents, models, and workflows, whether native or third-party. Built-in compliance tools to manage risk, privacy, and security across the AI lifecycle. Real-time dashboards for reporting performance and measuring outcomes like productivity and revenue. ServiceNow added that AI Control Tower supports lifecycle management for AI operations, from ideation and deployment to optimization, while helping enforce governance policies. Ritu Jyoti, Group VP and GM for AI and Data Market Research at IDC, stated that with AI solutions expected to generate $22.3 trillion in cumulative global impact by 2030, organizations will need tools to manage their growing AI assets. She said that centralized governance platforms will drive trust and performance. Meanwhile, the newly introduced AI Agent Fabric enables native collaboration across AI systems. ServiceNow explained that it supports communication between agents and tools using protocols such as Model Context Protocol (MCP) and Agent2Agent (A2A), allowing real-time coordination of tasks. Through AI Agent Fabric, thousands of ServiceNow AI agents can now work alongside third-party systems, dynamically sharing context and driving outcomes. This capability is further expanded by domain-specific agents created in ServiceNow AI Agent Studio and additional integrations from ecosystem partners. These integrations will be available via the ServiceNow Marketplace. ServiceNow also mentioned that AI Agent Fabric complements its Workflow Data Fabric, which connects and analyzes structured and unstructured data across systems. Together, these solutions aim to unify data, workflows, and AI, supporting large-scale enterprise transformation.
Channel Post MEA
14-05-2025
- Business
- Channel Post MEA
ServiceNow Launches AI Control Tower
ServiceNow has launched the new AI Control Tower, a centralized command center to govern, manage, secure, and realize value from any ServiceNow and third‑party AI agent, model, and workflow on a single unified platform. AI Control Tower optimizes AI investments and ensures seamless, responsible integration into customers' enterprise strategies. In addition to AI Control Tower, ServiceNow also introduced AI Agent Fabric, a solution that delivers new levels of agent‑to‑agent and multi‑model communication and collaboration. ServiceNow partners, including Accenture, Adobe, Box, Cisco, Google Cloud, IBM, Jit, Microsoft, Moonhub, RADCOM, UKG, and Zoom are among those to be offering the first AI Agent Fabric integrations for seamless, wall to wall enterprise workflows across third‑party agents. According to Gartner, 'By 2028, enterprises using AI governance platforms will achieve 30% higher customer trust ratings and 25% better regulatory compliance scores than their competitors,'[1] signaling an increased benefit to AI orchestration at the enterprise level. ServiceNow AI Control Tower is AI management at unprecedented scale – allowing customers to see all their AI agents in action, understand what they're working on, govern and track their impact, mitigate risk, keep them secure, and assign human managers to oversee their work. With the addition of AI Agent Fabric, organizations can seamlessly connect AI agents, orchestrators, and enterprise applications – built by ServiceNow or third‑parties. 'As AI agents proliferate across enterprises, coordinating their work becomes as critical and complex as leading human employees, and companies need new tools to direct this new digital workforce,' said Amit Zavery, president, chief product officer, and chief operating officer at ServiceNow. 'With AI Control Tower, businesses can oversee AI workforces in the same way the human workforce is managed, ensuring each agent is aligned, coordinated, optimized, and delivering impact at scale. Only ServiceNow unites powerful workflows, industry‑leading governance, and seamless orchestration with agentic AI excellence, enabling customers to scale AI and drive real, measurable outcomes.' AI Control Tower maximizes ROI on AI investments Embedded across all workflows in the ServiceNow AI Platform, and building on the recently announced AI Agent Orchestrator, the AI Control Tower centralizes strategy, governance, performance, and management across the entire AI ecosystem while driving enterprise‑grade compliance and accountability. With the AI Control Tower customers achieve: Enterprise‑wide AI visibility: Monitor and manage every AI agent, model, and workflow—native or third‑party—in one place, applying consistent policies across the enterprise. Monitor and manage every AI agent, model, and workflow—native or third‑party—in one place, applying consistent policies across the enterprise. Embedded compliance and AI governance: Proactively manage risk, including security and privacy, and monitor compliance across the AI lifecycle with comprehensive, integrated governance, risk, and compliance (GRC) capabilities. Proactively manage risk, including security and privacy, and monitor compliance across the AI lifecycle with comprehensive, integrated governance, risk, and compliance (GRC) capabilities. End‑to‑end lifecycle management of agentic operations: From ideation to deployment to optimization, AI Control Tower enables contextual decision‑making and helps enforce guardrails across the enterprise. From ideation to deployment to optimization, AI Control Tower enables contextual decision‑making and helps enforce guardrails across the enterprise. Real‑time reporting : Dynamic dashboards provide operational insight and validate AI performance against key business outcomes like productivity and revenue impact so AI agents can then take action on it. : Dynamic dashboards provide operational insight and validate AI performance against key business outcomes like productivity and revenue impact so AI agents can then take action on it. Improved alignment between AI and business strategy: AI Control Tower helps customers better match their AI initiatives with overall enterprise business and tech goals, making sure they deliver real value. 'With AI solutions and services expected to generate a global cumulative impact of $22.3 trillion by 2030, the volume of AI assets organizations must manage will be unprecedented,' said Ritu Jyoti, group vice president/general manager for Worldwide AI and Data Market Research and Advisory Services at IDC. 'The organizations that will see the greatest return on their AI investments will be those that utilize a centralized solution to govern, manage, and track their evolving agentic AI landscape, fostering trust and reinforcing the reliability and dependability of AI systems.' Expanding orchestration with AI Agent Fabric ServiceNow also debuted AI Agent Fabric, which acts as the communication backbone for entire AI ecosystems — enabling native collaboration between agentic systems. Unlike traditional AI solutions, AI Agent Fabric supports AI agent‑to‑AI agent, AI agent‑to‑tool, or even agentic system‑to‑agentic system, all using common protocols like Model Context Protocol (MCP) and Agent2Agent protocol (A2A). This allows both ServiceNow and third‑party AI agents, tools, and systems to dynamically exchange information, coordinate tasks, and take action in real time. With AI Agent Fabric, ServiceNow's thousands of AI agents can work side‑by‑side with third‑party agents to share context, coordinate actions, and drive outcomes, operating as part of a coordinated, intelligent system. Together with customers' own domain‑specific agents created through ServiceNow AI Agent Studio, plus current and future AI Agent Fabric integrations from Accenture, Adobe, Box, Cisco, Google Cloud, IBM, Jit, Microsoft, Moonhub, RADCOM, UKG, and Zoom, organizations can unlock new levels of collaboration and enable AI systems to work together for AI‑powered workflow optimization across a broad range of platforms and services. These new integrations expand on the ServiceNow Marketplace, where ServiceNow's industry‑leading partner ecosystem can contribute to the thousands of AI agents already available from ServiceNow by building their own on the ServiceNow AI Platform. AI Agent Fabric complements the recently announced ServiceNow Workflow Data Fabric, a breakthrough integrated data layer that allows customers to connect, understand, and act on structured, semi‑structured, unstructured, and streaming data across the enterprise, inside and outside of ServiceNow. By offering both Workflow Data Fabric and AI Agent Fabric, ServiceNow further completes its vision of bringing AI, data, and workflows together for customers to help them supercharge their entire business with intelligently orchestrated agentic AI. The ServiceNow AI Control Tower is now generally available. AI Agent Fabric is now available to early adopters and will be generally available in Q3 2025. 0 0
Business Wire
06-05-2025
- Business
- Business Wire
ServiceNow Launches AI Control Tower, a Centralized Command Center to Govern, Manage, Secure, and Realize Value From Any AI Agent, Model, and Workflow
LAS VEGAS--(BUSINESS WIRE)-- Knowledge 2025 – Today, at ServiceNow's annual customer and partner event, Knowledge 2025, ServiceNow (NYSE: NOW), the AI platform for business transformation, launched the new AI Control Tower, a centralized command center to govern, manage, secure, and realize value from any ServiceNow and third-party AI agent, model, and workflow on a single unified platform. AI Control Tower optimizes AI investments and ensures seamless, responsible integration into customers' enterprise strategies. In addition to AI Control Tower, ServiceNow also introduced AI Agent Fabric, a solution that delivers new levels of agent-to-agent and multi-model communication and collaboration. ServiceNow partners, including Accenture, Adobe, Box, Cisco, Google Cloud, IBM, Jit, Microsoft, Moonhub, RADCOM, UKG, and Zoom, are among those to be offering the first AI Agent Fabric integrations for seamless, wall to wall enterprise workflows across third-party agents. Only ServiceNow unites powerful workflows, industry-leading governance, and seamless orchestration with agentic AI excellence, enabling customers to scale AI and drive real, measurable outcomes. Share According to Gartner®, 'By 2028, enterprises using AI governance platforms will achieve 30% higher customer trust ratings and 25% better regulatory compliance scores than their competitors,' signaling an increased benefit to AI orchestration at the enterprise level. ServiceNow AI Control Tower is AI management at unprecedented scale – allowing customers to see all their AI agents in action, understand what they're working on, govern and track their impact, mitigate risk, keep them secure, and assign human managers to oversee their work. With the addition of AI Agent Fabric, organizations can seamlessly connect AI agents, orchestrators, and enterprise applications – built by ServiceNow or third-parties. 'As AI agents proliferate across enterprises, coordinating their work becomes as critical and complex as leading human employees, and companies need new tools to direct this new digital workforce,' said Amit Zavery, president, chief product officer, and chief operating officer at ServiceNow. 'With AI Control Tower, businesses can oversee AI workforces in the same way the human workforce is managed, ensuring each agent is aligned, coordinated, optimized, and delivering impact at scale. Only ServiceNow unites powerful workflows, industry-leading governance, and seamless orchestration with agentic AI excellence, enabling customers to scale AI and drive real, measurable outcomes.' AI Control Tower maximizes ROI on AI investments Embedded across all workflows in the ServiceNow AI Platform, and building on the recently announced AI Agent Orchestrator, the AI Control Tower centralizes strategy, governance, performance, and management across the entire AI ecosystem while driving enterprise-grade compliance and accountability. With the AI Control Tower customers achieve: Enterprise-wide AI visibility: Monitor and manage every AI agent, model, and workflow—native or third-party—in one place, applying consistent policies across the enterprise. Embedded compliance and AI governance: Proactively manage risk, including security and privacy, and monitor compliance across the AI lifecycle with comprehensive, integrated governance, risk, and compliance (GRC) capabilities. End-to-end lifecycle management of agentic operations: From ideation to deployment to optimization, AI Control Tower enables contextual decision-making and helps enforce guardrails across the enterprise. Real-time reporting: Dynamic dashboards provide operational insight and validate AI performance against key business outcomes like productivity and revenue impact so AI agents can then take action on it. Improved alignment between AI and business strategy: AI Control Tower helps customers better match their AI initiatives with overall enterprise business and tech goals, making sure they deliver real value. 'With AI solutions and services expected to generate a global cumulative impact of $22.3 trillion by 2030, the volume of AI assets organizations must manage will be unprecedented,' said Ritu Jyoti, group vice president/general manager for Worldwide AI and Data Market Research and Advisory Services at IDC. 'The organizations that will see the greatest return on their AI investments will be those that utilize a centralized solution to govern, manage, and track their evolving agentic AI landscape, fostering trust and reinforcing the reliability and dependability of AI systems.' Expanding orchestration with AI Agent Fabric ServiceNow also debuted AI Agent Fabric, which acts as the communication backbone for entire AI ecosystems — enabling native collaboration between agentic systems. Unlike traditional AI solutions, AI Agent Fabric supports AI agent-to-AI agent, AI agent-to-tool, or even agentic system-to-agentic system, all using common protocols like Model Context Protocol (MCP) and Agent2Agent protocol (A2A). This allows both ServiceNow and third-party AI agents, tools, and systems to dynamically exchange information, coordinate tasks, and take action in real time. With AI Agent Fabric, ServiceNow's thousands of AI agents can work side-by-side with third-party agents to share context, coordinate actions, and drive outcomes, operating as part of a coordinated, intelligent system. Together with customers' own domain-specific agents created through ServiceNow AI Agent Studio, plus current and future AI Agent Fabric integrations from Accenture, Adobe, Box, Cisco, Google Cloud, IBM, Jit, Microsoft, Moonhub, RADCOM, UKG, and Zoom, organizations can unlock new levels of collaboration and enable AI systems to work together for AI-powered workflow optimization across a broad range of platforms and services. These new integrations expand on the ServiceNow Marketplace, where ServiceNow's industry-leading partner ecosystem can contribute to the thousands of AI agents already available from ServiceNow by building their own on the ServiceNow AI Platform. AI Agent Fabric complements the recently announced ServiceNow Workflow Data Fabric, a breakthrough integrated data layer that allows customers to connect, understand, and act on structured, semi-structured, unstructured, and streaming data across the enterprise, inside and outside of ServiceNow. By offering both Workflow Data Fabric and AI Agent Fabric, ServiceNow further completes its vision of bringing AI, data, and workflows together for customers to help them supercharge their entire business with intelligently orchestrated agentic AI. What our customers and partners are saying: Box 'As AI reshapes every corner of the enterprise, the future will belong to platforms that turn intelligence into real action,' said Yashodha Bhavnani, VP of Product Management, AI Products at Box. 'Together with ServiceNow, we're reimagining the future of knowledge management as a catalyst for intelligent, agile enterprises. By embedding Box AI into ServiceNow's advanced agentic workflows, we can transform how work gets done. From intelligent content management and analysis to templated document generation, our partnership will help businesses move faster and smarter.' Cisco 'AI will have a profound and positive impact in every industry, but it also introduces new safety and security risks. The best defense the cybersecurity industry will have in this dynamic threat landscape will combine artificial and human intelligence,' said Jeetu Patel, EVP and Chief Product Officer at Cisco. 'The integration of Cisco AI Defense with ServiceNow's AI Platform is a perfect example of how powerful AI-powered insights can be combined with simplified workflows to ensure security teams can quickly turn threat detection into action. We look forward to further collaboration with ServiceNow to ensure AI Control Tower can be an incredible asset for our customers.' Google Cloud 'To unlock maximum business value, AI agents must operate seamlessly across diverse applications, data, and clouds,' said Rao Surapaneni, VP, General Management, Business Applications Platform at Google Cloud. 'Our collaboration with ServiceNow empowers customers to unify AI agents across their entire IT estates, speeding up business decisions with tools like ServiceNow's new AI Agent Fabric.' IBM 'The true potential of agents hinges on their ability to work across companies' diverse technology estates, powered by all their existing applications and their own data,' said Ritika Gunnar, General Manager, Data and AI, IBM. 'IBM and ServiceNow are both focused on piloting a bold new approach to interoperability—one that empowers organizations to deploy their AI agents across their full enterprise stack with unprecedented ease.' Microsoft 'Through our work with ServiceNow as both a partner and customer, we are uplevelling our employee experiences by streamlining workflows and enhancing efficiencies through AI agents,' said Ulrich Homann, corporate vice president at Microsoft. 'As we enter a new era of agentic AI, we look forward to harnessing ServiceNow's AI Control Tower and AI Agent Fabric to deliver a new level of governance and orchestration for our AI agents so we can better push the boundaries and scale across several platforms for our customers.' Thrive 'With ServiceNow's agentic AI solutions, Thrive has shifted our engineering resources closer to the customer, notably improving efficiency and providing improved resolution,' said Michael Gray, chief technology officer at Thrive. 'The approach of AI automation and reskilling over the past six months has increased efficiency by routing over 315,000 tasks via automated workflows, which realized 21,000 hours of manual time saved in coding and directing of tasks. We look forward to seeing what else we can accomplish with ServiceNow's new AI Control Tower and AI Agent Fabric.' UKG 'Co-innovation between UKG and ServiceNow will deliver a productivity boost to our mutual customers by enabling cross-system agent orchestration supercharged by the collective intelligence of our two companies,' said Suresh Vittal, Chief Product Officer at UKG. 'We believe that together, we can create transformative experiences, like helping employees self-service 80% of their most requested HR tickets, to help everyone spend more time focused on the most important and rewarding aspects of their job.' Availability The ServiceNow AI Control Tower is now generally available. AI Agent Fabric is now available to early adopters and will be generally available in Q3 2025. Additional information: Learn more about the new ServiceNow AI Control Tower. Learn more about ServiceNow Knowledge 2025. *Gartner, Top Strategic Technology Trends for 2025: AI Governance Platforms, 21 October 2024 GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. About ServiceNow ServiceNow (NYSE: NOW) is putting AI to work for people. We move with the pace of innovation to help customers transform organizations across every industry while upholding a trustworthy, human centered approach to deploying our products and services at scale. Our AI platform for business transformation connects people, processes, data, and devices to increase productivity and maximize business outcomes. For more information, visit: © 2025 ServiceNow, Inc. All rights reserved. ServiceNow, the ServiceNow logo, Now, and other ServiceNow marks are trademarks and/or registered trademarks of ServiceNow, Inc. in the United States and/or other countries. Other company names, product names, and logos may be trademarks of the respective companies with which they are associated.
Yahoo
01-04-2025
- Business
- Yahoo
AI agents are here. How afraid should workers be of losing their jobs?
At Mobile World Congress, the telecom industry trade show held each March in Barcelona, AI agents were everywhere. Or rather, signs touting AI agents were everywhere. At the Google Cloud stand, telecom execs could watch demos showcasing how easily companies can build custom AI agents. At Microsoft's stand, it was the same story. Qualcomm's highlighted its 'on-device agentic AI.' It was a similar scene in January at the World Economic Forum in Davos, Switzerland—where signs pitching tech companies' 'agentic AI' offerings practically obscured the view of the surrounding snowcapped mountains. In fact, almost every place tech companies come to market their wares these days turns into an AI-agent fest. There's simply no buzzier topic in tech and business right now. AI agents are supposed to be what finally delivers AI's long-promised productivity gains. It's still early days, and businesses are being cautious, partly because AI agents carry more risks than other AI products. But if deployment ramps up rapidly, as many analysts expect, AI agents could radically transform how people work—and possibly lead to millions of jobs being cut. But what are AI agents, and is the hype around them deserved? For starters, there is no agreed-upon definition of an AI agent—which is convenient if you want to claim to be selling one. But generally, it's an AI-powered system that can complete tasks using other software tools. These systems have a generative-AI model at their core, but they can do more than the AI model can in isolation. A gen-AI model may be able to suggest an itinerary for an upcoming vacation. An AI agent could do that, too, but then actually make the bookings and reservations for you. This is obviously a more difficult task that involves multiple steps and use of the internet—and, to do well, quite a bit of reasoning. This kind of automation is a perennial C-suite fever dream. Over the past decade, companies embraced 'robotic process automation,' or RPA. This was software that could automate repetitive tasks, such as cutting and pasting between database programs. But traditional RPA systems are inflexible and unable to deal with exceptions, and can usually handle only one narrow task. RPA didn't deliver what businesses wanted, says Amit Zavery, president of business software company ServiceNow, which is betting big on agents. He says agentic AI is different: 'It can be flexible and adapt to how businesses want to operate.' The U.S. market for AI agents is expected to reach $7.6 billion this year, according to Grand View Research, and that figure is growing at 46% annually. But those numbers likely underestimate the total impact. Consultants at McKinsey say AI could eventually unlock as much as $4.4 trillion in annual corporate productivity gains—with much of that coming from agentic AI. For the moment, however, adoption remains nascent. 'The AI-agent discussion is a mix of hype and real technical progress,' says Ruchir Puri, chief scientist of IBM Research. Meanwhile, Craig Le Clair, an analyst at research firm Forrester and the author of Random Acts of Automation, a book about the coming world of AI agents, says there are many 'agent-ish' offerings, but few are truly autonomous agents that can adjust their approach to a task on the fly in response to changing conditions. For now, agents are mostly being used for customer service and resolving internal IT support requests. They're not yet good enough, however, to fully automate tasks like writing and debugging software, Puri says. Because agents can take action, such as managing critical databases and engaging in financial transactions, the stakes are high if things go wrong. Big companies are therefore cautious about embracing the technology. Still, agents are creeping into many domains—from helping onboard new employees to assisting lawyers to find and update language in contracts. In a pilot project, McKinsey built an AI agent using Microsoft's Copilot Studio software that can monitor an email address for incoming project proposals from potential clients. When one arrives in the inbox, the agent automatically assesses the job, estimating the staffing requirements, time to completion, and budget. It even suggests which available consultants should do the job. A human still must check what the agent produces, of course, but the technology has cut the time required to scope out a project from 20 days on average to just two days. 32% Share of workers who believe AI will lead to fewer jobs $7.6 billion Expected U.S. spending on AI agents this yearSources: Pew Research Center; Grand View Research What impact will AI agents have on workers? 'I think it will be really disruptive,' Le Clair says. He knows of one Netherlands-based insurance company that had 15 contractors in Bulgaria helping to process claims-related emails. The contractors determined whether an email was about a new claim or an existing one, and made sure any information, including attachments, was uploaded to the appropriate databases. AI agents now do this work—and the company fired all the Bulgarian contractors. But such cases may be the exception, at least for now. A recent study by two senior Bank for International Settlements advisors found AI agents underwhelming. While able to perform narrow tasks well, 'they lack the self-awareness to know when they have gone wrong and change course in light of evidence,' the researchers wrote. People make mistakes, too, but they're better at spotting and correcting their errors. Of course, AI companies are racing to overcome these limitations. The new wave of reasoning models from the likes of OpenAI, Anthropic, Google's DeepMind, and Chinese startup DeepSeek excel at making step-by-step plans and have some ability to reflect on these plans and make corrections. Adam Evans, the executive vice president heading up Salesforce's AI efforts, says its latest AI agents, released in March, are starting to incorporate some reasoning capabilities. The company is also working on ways to help businesses orchestrate multiple agents to handle more complex tasks. So, while most of our jobs are probably safe for the next year or two, we may all soon find ourselves shouting that old Hollywood shibboleth—'Call my agent!'—to renegotiate our employment contracts. This article appears in the April/May 2025 issue of Fortune with the headline "AI agents are here. How afraid should workers be?" This story was originally featured on
TECHx
19-03-2025
- Business
- TECHx
TECHx Media ServiceNow Acquires Moveworks for $2.85B
ServiceNow (NYSE: NOW), an AI-powered business transformation company, has announced the acquisition of Moveworks, a provider of AI assistant and enterprise search technology, for $2.85 billion. This acquisition combines ServiceNow's agentic AI and automation capabilities with Moveworks' AI-driven assistant, offering businesses an enhanced experience for employees and improving operational efficiency across all departments. The deal will enable ServiceNow to accelerate the adoption of AI across enterprises by integrating Moveworks' front-end AI assistant with its platform. This collaboration aims to redefine employee engagement by offering a universal AI assistant and advanced enterprise search to automate tasks and improve productivity. ServiceNow's new AI solution has quickly become its fastest-growing product, with nearly 1,000 AI customers and $200 million in annual contract value (ACV) for its Pro Plus AI solution as of December 31, 2024. Moveworks has also seen exceptional adoption of its AI assistant, serving major clients like Palo Alto Networks, Siemens, Toyota, and Unilever. The combination of the two companies' technologies will expand ServiceNow's reach to nearly 5 million employees in just 18 months, further integrating AI across enterprise workflows, from HR and sales to finance and IT. Amit Zavery, ServiceNow's President and Chief Product Officer, emphasized that the acquisition of Moveworks would drive agentic AI-powered business transformation. The integration of Moveworks' AI assistant with ServiceNow's powerful AI-driven workflow automation will streamline business processes and improve the user experience for employees across every organization. The transaction strengthens ServiceNow's position in the rapidly growing market for AI solutions, especially in CRM and customer service, by offering a more cohesive experience for sales, fulfillment, and service on a single platform. ServiceNow and Moveworks already share around 250 mutual customers, with ServiceNow integrated into over 100 of Moveworks' technology platforms. The acquisition is expected to close in the second half of 2025, subject to regulatory approval. ServiceNow will pay $2.85 billion for Moveworks in a combination of cash and stock. J.P. Morgan Securities LLC and Tidal Partners LLC served as financial advisors to ServiceNow. This strategic move positions ServiceNow to redefine the future of AI in business, accelerating enterprise-wide AI adoption and creating powerful new opportunities for businesses to automate workflows, boost productivity, and improve customer interactions.
