ServiceNow's latest platform release adds to thousands of AI agents across CRM, HR, IT
Capabilities to build, onboard, and manage the entire AI agent lifecycle now available
Advancements in ServiceNow data solutions break down barriers among data sources for more connected AI agents
Dubai, United Arab Emirates — ServiceNow (NYSE: NOW), the AI platform for business transformation, has announced the Yokohama platform release, unleashing new AI agents across CRM, HR, IT, and more, for faster, smarter workflows and maximum, end‑to‑end business impact. These latest innovations include teams of preconfigured AI agents that deliver productivity and predictable outcomes from day one, on a single platform, as well as capabilities to build, onboard, and manage the entire AI agent lifecycle. Because data fuels AI, the company also announced expansion of its Knowledge Graph with advancements to its Common Service Data Model (CSDM) to break down barriers among data sources for more connected AI agents.
According to Gartner®, 'By 2028, 40% of CIOs will demand 'Guardian Agents' be available to autonomously track, oversee, or contain the results of AI agent actions,' underscoring the growing need for a coordinated, enterprise‑wide approach to AI deployment and management. As businesses race to unlock the full potential of agentic AI, ServiceNow serves as the AI agent control tower for enterprises, with solutions that remove common roadblocks like data fragmentation, governance gaps, and real‑time performance challenges. Unlike other AI providers that operate in silos or require complex integrations, ServiceNow AI Agents are built on a single, enterprise‑wide platform, helping ensure seamless data connectivity with Workflow Data Fabric. By providing a single view of all workflows, AI, and automation needs, ServiceNow enables companies to seamlessly coordinate thousands of AI agents across CRM, IT, HR, finance, and more, enabling total enterprise‑wide visibility and control.
"Agentic AI is the new frontier. Enterprise leaders are no longer just experimenting with AI agents; they're demanding AI solutions that can help them achieve productivity at scale," said Amit Zavery, president, chief product officer, and chief operating officer at ServiceNow. "ServiceNow's industry‑leading agentic AI framework meets this need by delivering predictability and efficiency from the start. With the combination of agentic AI, data fabric, and workflow automation all on one platform, we're making it easier for organizations to embed connected AI where work happens and both measure and drive business outcomes faster, smarter, and at scale."
ServiceNow AI Agents are now available to radically accelerate productivity at scale
Enterprise leaders are moving beyond experimentation, demanding AI solutions that drive real outcomes. ServiceNow's AI capabilities generate insights that power AI agent reasoning, planning, learning, and orchestration, equipping businesses to more rapidly achieve impactful goals.
New ServiceNow AI Agents are available today and ready to help businesses accelerate productivity, streamline operations, and drive real outcomes for enterprise‑wide use cases. For example:
Security Operations (SecOps) expert AI agents transform security operations by streamlining the entire incident lifecycle, eliminating repetitive tasks and empowering SecOps teams to focus on quickly stopping real threats.
Autonomous change management AI agents act like a seasoned change manager, instantly generating custom implementation, test, and backout plans by analyzing impact, historical data, and similar changes—ensuring seamless execution with minimal risk.
Proactive network test & repair AI agents operate as AI‑powered troubleshooters that automatically detect, diagnose, and resolve network issues before they impact performance.
Simplify AI agent management for a more streamlined lifecycle
ServiceNow AI Agent Orchestrator and AI Agent Studio are also now generally available with expanded capabilities to govern the complete AI agent lifecycle—from building AI agents, to onboarding and monitoring their performance, to ensuring enterprises realize the value they need. This includes:
Enhanced onboarding capabilities through AI Agent Studio to streamline the setup process with guided instructions, making it easier than ever to design and configure new AI agents using natural language descriptions.
Expanded performance management capabilities within ServiceNow's overall agentic AI framework include an analytics dashboard for visualizing AI agent usage, quality, and value. Agentic AI workflows are seamlessly tied to business KPIs so administrators can more easily track AI agent performance and ROI.
Connect, understand, and take action with data solution advancements
At the foundation of the ServiceNow Platform is Workflow Data Fabric, enabling AI‑powered workflows that integrate seamlessly with an organization's data, regardless of the system or source. Workflow Data Fabric enables businesses to gain deeper insights through AI‑driven contextualization and decision intelligence while automating manual work and creating process efficiencies.
New in the Yokohama release, ServiceNow continues to expand its Knowledge Graph data capabilities with enhancements to its Common Service Data Model (CSDM). CSDM provides a standardized framework for managing IT and business services that accelerates quick, safe, and compliant technology deployments. By unifying hundreds of technology categories, systems, and processes under one clear model, CSDM empowers organizations to implement and scale technology with confidence. With this latest update, customers gain a unique advantage: the ability to orchestrate seamless hand‑offs between both AI and live agents, ensuring work flows effortlessly across teams. Built‑in governance and audit‑ready data provide transparency and trust, so businesses can continue at the pace of innovation while maintaining compliance.
What our customers and partners are saying:
Cognizant
'At Cognizant, we are helping companies harness the next phase of AI with agentic AI workflows that could bring unparalleled efficiency,' said Jason Wojahn, global head of Cognizant's ServiceNow Business Group. 'We were the first to bring ServiceNow's Workflow Data Fabric to market and are working to help our clients to seamlessly connect their data with AI. With the Yokohama release and the integration of AI agents onto the Now Platform, clients can now operate their agents virtually effortlessly with connected data, driving productivity and ROI across their entire business.'
Sentara
'As one of the largest not‑for‑profit integrated health systems in the country, Sentara is dedicated to delivering exceptional patient care and innovative healthcare solutions,' said Sentara ServiceNow Platform Team. 'Sentara has already seen tremendous success with ServiceNow's AI solutions, allowing operational teams to handle more requests with ease and is excited to explore how agentic AI can further improve efficiency and patient experience as Sentara continues to expand.'
Availability
All features announced today are generally available and can be found in the ServiceNow Store.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Zawya
2 days ago
- Zawya
Crypto exchange Bullish valued at nearly $13.2bln in blowout NYSE debut
Cryptocurrency exchange operator Bullish was valued at about $13.16 billion after its shares more than doubled in their NYSE debut on Wednesday, underscoring investor confidence in the sector and lifting prospects for future U.S. listings by other digital asset firms. The parent of crypto news website CoinDesk raised $1.11 billion in its IPO, valuing the company at $5.4 billion — another sign of mainstream adoption in a market that recently topped $4 trillion. "Bullish came out with an attractive initial valuation, and investors responded by aggressively bidding it up during the pre-IPO process," said Jeff Zell, senior research analyst at IPO Boutique. The stock opened at $90 and was trading over 150% its IPO price of $37 in afternoon trading. It went as high as $118, before paring gains slightly to trade at $92.60. A string of regulatory wins under a pro-crypto White House, corporate treasury adoption and ETF inflows have prompted investors to embrace the once-scorned digital asset class, driving bellwether bitcoin to record highs. Exchange operator Gemini and asset manager Grayscale are also among the crypto firms that have confidentially filed to go public. "We've gone public today, and there's a slew of others that are going to follow us, and I think that is net beneficial, because it gives people more options in terms of how they access this asset class," Bullish President Chris Tyrer told Reuters in an interview. Bullish is close to concluding a two-year process to obtain a virtual currency license known as a "BitLicense" in New York, which would allow the company to operate in the state, Tyrer said. The BitLicense requires companies to comply with requirements related to know-your-customer, anti-money laundering and capital. Peter Thiel-backed Bullish plans to convert a significant portion of the IPO proceeds to stablecoins — a slice of the crypto space that has boomed since U.S. President Donald Trump signed the Genius Act, creating a regulatory regime for the dollar-pegged cryptocurrencies. INSTITUTIONAL FOCUS Bullish's debut marks a rare U.S. listing by a crypto exchange, joining larger retail-focused rival Coinbase, which became the first crypto player to be included in the benchmark S&P 500 index in May. Founded in 2020, Bullish targets institutional clients, whose crypto holdings are expected to rise as a new White House order aims to allow alternative investments in 401(k) retirement plans. "A pure institutional strategy positions Bullish for more stable, recurring revenue than exchanges reliant on retail volumes, which tend to be cyclical and sentiment-driven," said Michael Hall, co-chief investment officer and founding partner at Nickel Digital Asset Management. Bullish CEO Tom Farley was previously the president of the NYSE. "For a sector still overcoming reputational headwinds, that kind of leadership experience can be a differentiator in securing institutional mandates," Hall said. (Reporting by Ateev Bhandari and Atharva Singh in Bengaluru and Hannah Lang in New York; Editing by Shilpi Majumdar, Devika Syamnath, Tasim Zahid and Alan Barona)
Web Release
2 days ago
- Web Release
NTT DATA Partners with Google Cloud to Accelerate Agentic AI Adoption and Cloud Modernization for Enterprises Globally
NTT DATA, a global leader in digital business and technology services, today announced a global partnership with Google Cloud to accelerate AI-powered cloud innovations and unlock new possibilities with AI for enterprise organizations across industries. This collaboration combines NTT DATA's deep industry expertise in AI, cloud-native modernization and data engineering with Google Cloud's advanced analytics, AI and cloud technologies to deliver tailored, scalable enterprise solutions. With a focus on co-innovation, the partnership will drive industry-specific cloud and AI solutions, leveraging NTT DATA's proven frameworks and best practices along with Google Cloud's capabilities to deliver customized solutions backed by deep implementation expertise. Significant joint go-to-market investments will support seamless adoption across key markets. According to Gartner®, worldwide end-user spending on public cloud services is forecast to reach $723 billion in 2025, up from $595.7 billion in 2024.1 The use of AI deployments in IT and business operations is accelerating the reliance on modern cloud infrastructure, highlighting the critical importance of this strategic global partnership. 'This collaboration with Google Cloud represents a significant milestone in our mission to drive innovation and digital transformation across industries,' said Marv Mouchawar, Head of Global Innovation, NTT DATA. 'By combining NTT DATA's deep expertise in AI, cloud-native modernization and enterprise solutions with Google Cloud's advanced technologies, we are helping businesses accelerate their AI-powered cloud adoption globally and unlock new opportunities for growth.' 'Our partnership with NTT DATA will help enterprises use agentic AI to enhance business processes and solve complex industry challenges,' said Kevin Ichhpurani, President, Global Partner Ecosystem at Google Cloud. 'By combining Google Cloud's AI with NTT DATA's implementation expertise, we will enable customers to deploy intelligent agents that modernize operations and deliver significant value for their organizations.' Driving AI innovation across industries NTT DATA will leverage Google Cloud technology to develop several industry-specific AI and cloud solutions, accelerating enterprise transformation across sectors including banking, insurance, manufacturing, retail, healthcare, life sciences and the public sector. For example, in financial services, this collaboration will support regulatory compliance and reporting through NTT DATA solutions like Regla, which leverage Google Cloud's scalable AI infrastructure. In hospitality, NTT DATA's Virtual Travel Concierge enhances customer experience and drives sales with 24×7 multilingual support, real-time itinerary planning and intelligent travel recommendations. It uses the capabilities of Google's Gemini models to drive personalization across more than 3 million monthly conversations. Key focus areas include: ? Industry-specific agentic AI solutions: NTT DATA will build new industry solutions that transform analytics, decision-making and client experiences using Google Agentspace, Google's Gemini models, secure data clean rooms and modernized data platforms. ? AI-driven cloud modernization: Accelerating enterprise modernization with Google Distributed Cloud for secure, scalable modernization built and managed on NTT DATA's global infrastructure, from data centers to edge to cloud. ? Next-generation application and security modernization: Strengthening enterprise agility and resilience through mainframe modernization, DevOps, observability, API management, cybersecurity frameworks and SAP on Google Cloud. ? Sovereign cloud innovation: Delivering secure, compliant solutions through Google Distributed Cloud in both air-gapped and connected deployments. Air-gapped environments operate offline for maximum data isolation. Connected deployments enable secure integration with cloud services. These scenarios meet data sovereignty and regulatory demands in sectors such as finance, government and healthcare without compromising innovation. ? Google Distributed Cloud sandbox environment: Google Distributed Cloud sandbox environment is a digital playground where developers can build, test and deploy industry-specific and sovereign cloud deployments. This sandbox will help teams upskill through hands-on training and accelerate time to market with Google Distributed Cloud technologies through preconfigured, ready-to-deploy templates. NTT DATA will support these innovations through a full-stack suite of services including advisory, building, implementation and ongoing hosting and managed services. By combining NTT DATA's proven blueprints and delivery expertise with Google Cloud's technology, the partnership will accelerate the development of repeatable, scalable solutions for enterprise transformation. At the heart of this innovation strategy is Takumi, NTT DATA's GenAI framework that guides clients from ideation to enterprise-wide deployment. Takumi integrates seamlessly with Google Cloud's AI stack, enabling rapid prototyping and operationalization of GenAI use cases. This initiative expands NTT DATA's Smart AI Agent Ecosystem, which unites strategic technology partnerships, specialized assets and an AI-ready talent engine to help clients deploy and manage responsible, business-driven AI at scale. Accelerating global delivery with a dedicated Google Cloud Business Group To achieve excellence, NTT DATA has established a dedicated global Google Cloud Business Group comprising thousands of engineers, architects and advisory consultants. This global team at NTT DATA will work in close collaboration with Google Cloud teams to help clients adopt and scale AI-powered cloud technologies. NTT DATA is also investing in advanced training and certification programs ensuring teams across sales, pre-sales and delivery are equipped to sell, secure, migrate and implement AI-powered cloud solutions. The company aims to certify 5,000 engineers in Google Cloud technology, further reinforcing its role as a leader in cloud transformation on a global scale. Additionally, both companies are co-investing in global sales and go-to-market campaigns to accelerate client adoption across priority industries. By aligning technical, sales and marketing expertise, the companies aim to scale transformative solutions efficiently across global markets. Building on strategic momentum This global partnership builds on NTT DATA and Google Cloud's 2024 co-innovation agreement in APAC. In addition it further strengthens NTT DATA's acquisition of Niveus Solutions, a leading Google Cloud specialist recognized with three 2025 Google Cloud Awards – 'Google Cloud Country Partner of the Year – India', 'Google Cloud Databases Partner of the Year – APAC' and 'Google Cloud Country Partner of the Year – Chile,' further validating NTT DATA's commitment to cloud excellence and innovation. 'We're excited to see the strengthened partnership between NTT DATA and Google Cloud, which continues to deliver measurable impact. Their combined expertise has been instrumental in migrating more than 380 workloads to Google Cloud to align with our cloud-first strategy,' said José Luis González Santana, Head of IT Infrastructure, Carrefour. 'By running SAP HANA on Google Cloud, we have consolidated 100 legacy applications to create a powerful, modernized e-commerce platform across 200 hypermarkets. This transformation has given us the agility we need during peak times like Black Friday and enabled us to launch new services faster than ever. Together, NTT DATA and Google Cloud are helping us deliver more connected, seamless experiences for our customers,'
Gulf Today
3 days ago
- Gulf Today
Manufacturers turn to artificial intelligence to weather tariff storm
Mark Bendeich, Reuters Manufacturers like US lawnmower maker The Toro Company are not panicking at the prospect of US President Donald Trump's global trade tariffs. Despite five years of dramatic supply disruptions, from the COVID pandemic to today's trade wars, Toro is resisting any temptation to stack its warehouses to the rafters. "We are at probably pre-pandemic inventory levels," says its chief supply-chain manager, Kevin Carpenter, looking relaxed in front of a whiteboard at his office in Minneapolis. "I mean 2019. I think everybody will be at a 2019 level." Among US manufacturers, inventories have roller-coasted this year as they rushed to beat Trump's deadlines for tariff hikes, only to see them repeatedly delayed. But since their post-pandemic expansion, inventories have mostly contracted, according to US Institute for Supply Management data. Instead, "just in time" inventory management - which aims to increase efficiency and reduce waste by ordering goods only as they are needed - is back. But how can firms run lean inventories even as tariffs fluctuate, export bans come out of the blue, and conflict rages? One of the answers, they say, is artificial intelligence. Carpenter says he uses AI to digest the daily stream of news that could impact Toro's business, from Trump's latest social media posts to steel prices, into a custom-made podcast that he listens to each morning. His team also uses generative AI to sieve an ocean of data and to suggest when and how many components to buy from whom. It is a boom industry. Spending on software that includes generative AI for supply chains, capable of learning and even performing tasks on its own, could hit $55 billion by 2029, up from $2.7 billion now, according to U.S. research firm Gartner, driven in part by global uncertainties. "The tool just puts up in front of you: 'I think you can take 100 tonnes of this product from this plant to transfer it to that plant. And you just hit accept if that makes sense (to you)," McKinsey supply chain consultant Matt Jochim said. The biggest providers of overall supply chain software by revenue are Germany's SAP, US firms Oracle, Coupa and Microsoft and Blue Yonder, a unit of Panasonic, according to Gartner. Generative AI is in its infancy, with most firms still piloting it spending modest amounts, industry experts say. Those investments can climb to tens of millions of dollars when deployed at scale, including the use of tools known as AI agents, which make their own decisions and often need costly upgrades to data management and other IT systems, they said. In commenting for this article, SAP, Oracle, Coupa, Microsoft and Blue Yonder described strong growth for generative AI solutions for supply chains without giving numbers. At US supply chain consultancy GEP, which sells AI tools like this, Trump's tariffs are helping to drive demand. "The tariff volatility has been big," says GEP consultant Mukund Acharya, an expert in retail industry supply chains. SAP said the uncertainty was driving technology take-up. "That's how it was during the financial crisis, Brexit and COVID. And it's what we're seeing now," Richard Howells, SAP vice president and supply chain specialist, said in a statement. An AI agent can sift real-time news feeds on changing tariff scenarios, assess contract renewal dates and a myriad of other data points and come up with a suggested plan of action. But supply chain experts warn of AI hype, saying a lot of money will be wasted on a vain hope that AI can work miracles. "AI is really a powerful enabler for supply chain resilience, but it's not a silver bullet," says Minna Aila, communications chief at Finnish crane-maker Konecranes and member of a business board that advises the OECD on issues including supply chain resilience. "I'm still looking forward to the day when AI can predict terrorist attacks that are at sea, for instance." Konecranes' logistics partners are deploying AI on more mundane data, like weather forecasts. The company makes port cranes that are up to 106 metres (348 ft) high when assembled. When shipping them, AI marries weather forecasts with data like bridge heights to optimise the route. "To ship those across oceans, you do have to take into consideration weather," Aila says. By keeping inventories low, firms can bolster profit margins that are under pressure from rising costs. Every component or finished product sitting on a shelf is capital tied up, incurring finance and storage costs and at risk of obsolescence. McKinsey has been surveying supply-chain executives since the pandemic. Its most recent survey showed that respondents relying on bigger inventory to cushion disruptions fell to 34% last year from 60% in 2022. Early responses from its upcoming 2025 survey suggest a similar picture, Jochim said. Gartner supply chain analyst Noha Tohamy says that without AI, companies would be slower to react and be more likely to be drawn into building up inventories. "When supply chain organisations don't have that visibility and don't really understand the uncertainty, we go for inventory buffering," Tohamy says. But AI agents won't put supply chain managers out of work, not yet, consultants say. Humans still need to make strategic and big tactical decisions, leaving AI agents to do more routine tasks like ordering and scheduling production maintenance. Toro supply chain chief Carpenter says that without AI, supply chain managers might need to run bigger teams as well. Is he worried that AI is coming for his job one day? "I hope it doesn't take it until my kids get through college!"
