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ServiceNow launches the real-time data foundation that puts autonomous AI to work across the enterprise

Context Engine, Autonomous Data Analytics, and Workflow Data Fabric give enterprises the live, governed data that autonomous AI needs to act

LAS VEGAS–(BUSINESS WIRE)–Knowledge 2026 – Today, at ServiceNow’s annual customer and partner event, Knowledge 2026, ServiceNow (NYSE: NOW), the AI control tower for business reinvention, launched new data capabilities that put autonomous AI to work on live, governed enterprise intelligence. The announcement helps resolve the data fragmentation siloed across systems that has held enterprise AI back, and delivers the live intelligence, execution, and agent governance that autonomous AI requires.

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Most enterprise AI fails not because the models are flawed, but because the data is fragmented across disconnected systems and ungoverned at the exact points where AI agents need to act, producing shallow intelligence that recommends rather than executes. ServiceNow’s Context Engine and Autonomous Data Analytics change the equation by drawing from the full breadth of enterprise signals (including assets, workflows, people, policies, operational history), and applying a semantic layer that integrates CMDB, workflow data, analytics insights, and third-party systems to ground every AI decision in real-time operational context. As Context Engine learns continuously from system activity, that intelligence compounds with every workflow, making AI more accurate the more it runs.

“The enterprises winning the AI race are bringing trusted, contextual data directly into the workflows that run the business, giving teams and AI the insights to act with confidence,” said Gaurav Rewari, executive vice president and general manager, Data and Analytics Products at ServiceNow. “That’s what ServiceNow is: the platform where insight meets every workflow, every transaction, every decision, and each one compounds the intelligence that drives the next.”

Intelligence for the AI era

Context Engine provides the deep context and governance that enterprise AI requires. It maps every person, role, asset, service, and policy across a business in real time, giving AI the institutional business context that only comes from being embedded in how a business actually operates. To feed the Context Engine with trusted business logic, ServiceNow is announcing a new vision for Autonomous Data Analytics. Fueled by the innovation from recently acquired Pyramid Analytics, any person or AI agent can query the entire enterprise data estate in plain language and receive secure, contextual insights immediately.

Dozens of disconnected systems, catalogued inconsistently or not at all, and governed through processes designed for human analysts rather than AI agents, contribute to AI that can offer advice but can’t provide workflow resolution. ServiceNow is addressing this with three interconnected capabilities that connect data discovery, governance, and autonomous action without ever leaving the platform where work gets done.

Autonomous Data Governance continuously monitors the data estate and automatically flags quality violations, helping enforce security and privacy policies in real time so the data feeding AI workflows always meets defined standards without manual intervention. And Workflow Data Fabric with ServiceNow Otto makes it all accessible to any user through a natural language experience that guides curated, governed data asset creation step by step.

ServiceNow Data Catalog gives organizations end-to-end visibility across their entire data estate through automated discovery, lineage tracking, and a shared business glossary. That foundation integrates with existing data catalogs across the enterprise, so organizations can gain faster discovery, deeper context, and broader adoption without replacing what they already have. The result is a single, governed review of the entire data estate, wherever that data lives.

Real-time execution for faster, more accurate agentic AI

As agentic workloads demand real-time access, long-term retention, and analytical flexibility, ServiceNow is expanding RaptorDB Pro, the high-performance database native to the ServiceNow AI Platform.

Live Perform extends analytical processing to meet the scale of agentic workloads, building on the performance and scalability gains that have driven RaptorDB Pro adoption over the past several quarters. The architectural breakthrough underlying all three capabilities is RaptorDB Pro’s engine: the same database handles both operational and analytical workloads simultaneously, delivering real-time insights with no performance trade-offs and no separate infrastructure. Live Connect capabilities give Pyramid Analytics and other analytics providers in the Workflow Data Network direct access to live ServiceNow operational data without pipelines, data copies, or latency. Live Archive lets historical and live data be queried together from cost-optimized storage, so long-term compliance and real-time performance no longer compete. RaptorDB Pro also adds native support for multi-modal processing of graph and time-series data, powering complex context modeling and new use cases across manufacturing, healthcare, and critical infrastructure.

Workflow Data Fabric extends this execution layer across the entire enterprise data estate, giving organizations the flexibility to choose best-of-breed data management partners without vendor lock-in. Through the Workflow Data Network, ServiceNow is extending its ecosystem to include partners across Data Quality, Data Observability, and Data Security and Privacy, enabling these solutions to push rich contextual intelligence directly into workflows, surfacing data quality and observability health indicators, sensitive data classifications, and governance policies at the exact point where they become actionable. The new Workflow Data Network Partner Passport makes procurement seamless: customers use existing Data Fabric credits to activate and consume select partner solutions from qualified partners, starting with IBM and Boomi, consolidating data, AI, and workflows under a single commercial agreement.

Agent governance across any agent and any data

A new governance gap is opening as agentic AI adoption accelerates: AI agents are connecting to external services, MCP servers, and data sources with no central oversight, no approval workflow, and no audit trail. Enterprises that rigorously govern how employees access sensitive systems are, in many cases, applying no equivalent controls to the agents now acting on their behalf.

The ServiceNow MCP Registry is a private enterprise Model Context Protocol registry. Built on the open-source MCP Registry API and governed through ServiceNow’s AI Control Tower, the registry gives developers a trusted, internal catalog of approved MCP Servers. Agents discover and connect only to what has been vetted, enforced at the point of access.

GitHub, Box, and Zoom are early MCP Registry partners. Where public registries serve community discoverability, the ServiceNow MCP Registry serves enterprise control. This is a meaningful distinction when agents have broad system access and consequential decisions to make and allows enterprises to hold their agents to the same standard they hold their employees. MCP Registry complements the new ServiceNow AI Gateway, also announced today, which provides real-time controls for agentic workloads, with governance, observability, and security for full visibility across any third-party AI system.

What customers say about ServiceNow data capabilities

PayPal

“This wasn’t simply a database migration; it was a foundational step in enabling confident, performance-oriented scale and winning back the trust and investment of our business partners,” said Matthew Kritzer, principal platform architect at PayPal. “As a company that moves more than a trillion of dollars in payment volume annually, the ServiceNow AI Platform must be as fast and resilient as the business itself. Today, we’re running Case Management, Cloud Discovery, SecOps, and Now Assist at a scale we once only imagined. Database tasks are twice as fast, and our longest-running operations are five times faster. ServiceNow has become a key part of our enterprise AI and Automation strategy.”

Zespri

“For us, the value of the ServiceNow Platform and its AI capabilities is about how people work, not replacing core business systems,” said Tim Lloyd, head of digital operations at Zespri. “It is the digital workflow layer across our ERP and operational platforms—and with Workflow Data Fabric, we can connect and act on data across those systems in real time, helping employees collaborate, automate tasks, and resolve issues faster. That focus on employee experience and execution efficiency is delivering real operational benefits across our global business.”

Availability

• Workflow Data Fabric with ServiceNow Otto: Available now.

• ServiceNow Data Catalog: Available now.

• Autonomous Data Governance (Observability, Quality, and Privacy): expected second half 2026

• RaptorDB Pro – Live Connect (SQL API): Available now.

• RaptorDB Pro – Live Archive: Now available with RaptorDB Pro.

• RaptorDB Pro – Live Perform: Now available.

• ServiceNow MCP Registry: Now available via Innovation Lab; A2A Agent Card support expected by year end.

• Workflow Data Network – Partner Passport: Expected second half 2026.

About ServiceNow

ServiceNow (NYSE: NOW) is the AI control tower for business reinvention. The ServiceNow AI Platform integrates with any cloud, any model, and any data source to orchestrate how work flows across the enterprise. By unifying legacy systems, departmental tools, cloud applications, and AI agents, ServiceNow provides a single pane of glass that connects intelligence to execution across every corner of business. With more than 100 billion workflows running on the platform each year, ServiceNow helps organizations turn fragmented operations into coordinated, autonomous workflows that deliver measurable results. Learn how ServiceNow puts AI to work for people at www.servicenow.com.

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Caesars Atlantic City to Open All-New Oceanfront Escape, Caesars Beach Club

Making its debut this summer, Caesars Beach Club will bring an elevated day-to-night experience with dining, DJ entertainment, rooftop views and exclusive VIP cabanas

Click HERE to download renderings

ATLANTIC CITY, N.J.–(BUSINESS WIRE)–
Caesars Atlantic City is bringing a new level of sophistication to the beach with Caesars Beach Club, an all-new beachfront destination designed to set the tone for the season.

Opening this summer, Caesars Beach Club will offer a lively, open-air escape with sweeping views of the Atlantic Ocean, blending coastal fare, handcrafted cocktails and DJ-driven music. The space will feature a mix of thoughtfully designed settings, from lounge-style dining to laid-back loungers and elevated VIP cabanas. A palette of soft neutrals and natural teak creates an atmosphere of effortless coastal elegance.

With spaces built for lounging, socializing and celebrating, the Beach Club will seamlessly transition from serene daytime vibes to vibrant nighttime energy. It will feature a full-service bar, live DJ entertainment and a rooftop deck complete with a DJ booth and VIP section. Menu highlights range from Jersey dayboat scallops and lobster rolls to tuna steak sandwiches, grilled margherita pizza and caprese skewers.

“We set out to create an oceanside destination that feels unlike anything Atlantic City has seen—a place inspired by the elevated beachfront hotspots redefining summer along the East Coast,” said Jacob Witmer, senior vice president and general manager, Caesars Atlantic City. “We wanted it to feel like an effortless escape, where curated music, delicious food and drink and thoughtful service come together in a stunning setting. Whether you’re stretched out on a chaise or gathering with friends in a cabana, it’s the kind of place that makes you wish summer would never end.”

For more information and updates, visit caesars.com/caesars-ac.

About Caesars Entertainment Atlantic City

Caesars Entertainment owns and operates three Las Vegas-style resort destinations in the Atlantic City region, Caesars Atlantic City, Harrah’s Resort Atlantic City and Tropicana Atlantic City. From Atlantic City’s world-famous beach and Boardwalk to the Marina District Bay, Caesars Entertainment’s world-class casinos and hotels offer guests unparalleled amenities and experiences, including celebrity chef restaurants, nightlife, shopping and entertainment, delivered with impeccable service. Home to the country’s premier loyalty card program of its kind, Caesars Rewards^®, customers have more ways to play, earn and redeem rewards at over 50 Caesars Rewards destinations across the country in cities such as Las Vegas, New Orleans, Lake Tahoe and more. To learn more about Caesars Entertainment Atlantic City, visit caesars.com/atlantic-city.

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ServiceNow Build Agent now works inside every major AI coding tool, governed by default

Build Agent in ServiceNow Studio lets any developer build production-ready apps and AI agents using natural language prompts

Developers can now build from any integrated developer environment or AI coding agent with full context and governance from ServiceNow

Free access to App Engine Management Center governs every app before deployment; reimagined AI Agent Studio simplifies agent creation at scale

LAS VEGAS–(BUSINESS WIRE)–Knowledge 2026 — Today, at ServiceNow’s annual customer and partner event, Knowledge 2026, ServiceNow (NYSE: NOW), the AI control tower for business reinvention, announced that it has made Build Agent generally available in ServiceNow Studio and extended its core skills into Cursor, Windsurf, Claude Code, and GitHub Copilot — so developers can build from any environment with full ServiceNow AI Platform context and governance. Free access to App Engine Management Center helps keep applications governed before deployment, while a reimagined AI Agent Studio simplifies how builders create and scale AI agents.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260506008934/en/

AI coding tools have made it faster than ever to generate code, but applications built outside governed platforms often introduce risk, create technical debt, and fail to meet compliance requirements. The result: a growing shadow development problem where ungoverned apps multiply faster than IT can secure them—and every app built but never adopted is wasted AI investment. At the same time, platform administrators, business analysts, and citizen developers, the people closest to business problems, have lacked AI-native tools that make it easy to build. ServiceNow addresses both challenges by expanding who can build enterprise applications, while helping ensure everything built meets enterprise standards by default.

“Vibe coding is transforming how fast people can build. But speed without governance and an enterprise runtime produce apps that too often look ready but aren’t,” said Jithin Bhasker, group vice president and general manager of Creator Workflows and App Engine at ServiceNow. “We’re making it possible for anyone to build on ServiceNow using the tools they already know and love, whether that’s their IDE, their coding agent, or their design tools, and ensure what they build is enterprise ready from the moment they hit deploy.”

Build anywhere, run and govern everything on ServiceNow

Whether a developer works inside ServiceNow Studio, from their preferred IDE, or with any AI coding agent, the experience is now AI-native and -governed.

Build Agent’s core skills are now available through the ServiceNow SDK, giving developers full platform intelligence anywhere they build. Once deployed to the ServiceNow AI Platform, every application inherits enterprise-grade audit trails, security checks, compliance, scalability, and performance. Developers also get their own sandbox environment to test and validate before going live. Once live, every application connects directly to the workflows, data, and systems that get work done across the enterprise. For those who prefer the security and context of building directly on the platform, Build Agent is now powered by Anthropic models. This enables longer context sessions, so developers can work through entire application builds without losing continuity.

Build Agent also connects to external partner tools as an MCP Client, pulling design specs from Figma, requirements from Miro, and code context from GitHub.

Customize and extend existing applications

For the millions of customizations enterprises make to their ServiceNow environments each year, Build Agent now works across the entire platform, including out-of-the-box applications, not just custom apps built from scratch.

Until now, that work depended on a limited pool of specialized ServiceNow developers, creating backlogs that slowed the business. Build Agent can now operate across application scopes enabling any developer to customize and extend existing ServiceNow applications and workflows directly with AI-native development.

Build Agent is now also embedded in ServiceNow Studio, the primary development environment for ServiceNow’s developer community. Because Build Agent understands the live instance, including existing data models, configurations, and policies, it can generate complete applications with workflows, catalog items, UI components, and configurations in a single session.

Create and deploy AI agents at scale

Building enterprise AI agents has traditionally required deep platform expertise. The reimagined AI Agent Studio changes that with a guided, conversational creation experience that makes it easier for a broader range of builders to create and deploy AI agents.

When developers build custom applications with Build Agent, in-app AI agents are now embedded into app workflows by default. These agents answer questions, surface insights, and take action on behalf of end users, all within the context of the application and under full AI Control Tower oversight. The app gets smarter after deployment, not just during development.

Run and govern on the ServiceNow AI Platform

As AI-native development accelerates the pace of app and agent creation, the platform’s governance layer helps ensure nothing ships without meeting enterprise standards.

App Engine Management Center (AEMC) is now available to all ServiceNow customers at no additional cost. Customers building with Build Agent get deployment approvals, release management, and application lifecycle governance — from AI-assisted development to governed deployment.

Build Agent also includes a self-healing test loop that validates generated work against quality gates and to help ensure what it produces is reliable and maintainable over time. Custom Instructions let customers encode their own development standards into Build Agent, so AI-assisted development reflects each organization’s unique patterns and policies.

What customers and partners say about ServiceNow Build Agent

Cox Automotive

“In the automotive industry, where speed, precision, and reliability are critical, deployment challenges can quickly impact both operations and customer experience,” said Jason Riggins, AVP enterprise operations at Cox Automotive. “At Cox Automotive, moving away from manual processes with ServiceNow has helped us automate the entire lifecycle—from development to production—with built-in governance. We’ve reduced errors, accelerated delivery, and created a more reliable path to production. More importantly, we’re laying the foundation for AI-driven automation, where speed and control go hand in hand.”

Plat4mation

“ServiceNow Build Agent has changed how our teams can move from idea to enterprise-ready application. With a recent customer, we modernized an outdated process and built a fully functional, production-ready ServiceNow workflow in hours instead of weeks,” said Elmer de Valk, CEO at Plat4mation. “Build Agent generated nearly 80% of the application automatically, and our architects were able to govern the quality from day one. That combination of speed and enterprise-grade quality is exactly what build partners and customers have been waiting for.”

Availability

• Build Agent in ServiceNow Studio with support for all application scopes — Generally available

• Build Agent Skills for use with agentic development tools like Claude Code — April 2026

• Build Agent MCP Client and ecosystem integrations — Expected second quarter 2026

• Reimagined AI Agent Studio — Expected second quarter 2026

• AEMC freemium tier — Expected third quarter 2026

Full details can be found in the ServiceNow Store.

Additional Information

Read more about Build Agent here.

About ServiceNow

ServiceNow (NYSE: NOW) is the AI control tower for business reinvention. The ServiceNow AI Platform integrates with any cloud, any model, and any data source to orchestrate how work flows across the enterprise. By unifying legacy systems, departmental tools, cloud applications, and AI agents, ServiceNow provides a single pane of glass that connects intelligence to execution across every corner of business. With more than 100 billion workflows running on the platform each year, ServiceNow helps organizations turn fragmented operations into coordinated, autonomous workflows that deliver measurable results. Learn how ServiceNow puts AI to work for people at www.servicenow.com.

Forward-Looking Statements

This press release contains “forward-looking statements” about the expectations, beliefs, plans, and intentions relating to ServiceNow’s AI platform innovations. Such statements include statements regarding future product capabilities and offerings and expected benefits to ServiceNow. Forward-looking statements are subject to known and unknown risks and uncertainties and are based on potentially inaccurate assumptions that could cause actual results to differ materially from those expected or implied by the forward-looking statements. If any such risks or uncertainties materialize or if any of the assumptions prove incorrect, ServiceNow’s results could differ materially from the results expressed or implied by the forward-looking statements made. ServiceNow undertakes no obligation, and does not intend, to update the forward-looking statements. Factors that may cause actual results to differ materially from those in any forward-looking statements include: (i) delays and unexpected difficulties and expenses in executing the product capabilities and offerings, (ii) changes in the regulatory landscape related to AI and (iii) uncertainty as to whether sales will justify the investments in the product capabilities and offerings. Further information on factors that could affect ServiceNow’s financial and other results is included in the filings ServiceNow makes with the Securities and Exchange Commission from time to time.

© 2026 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.

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ServiceNow and Accenture launch forward deployed engineering program to scale agentic AI across the enterprise

Clients get access to more than 300 pre-built AI agent skills and agentic workflows on the ServiceNow AI Platform

LAS VEGAS–(BUSINESS WIRE)–Knowledge 2026 – Today, ServiceNow (NYSE: NOW), the AI control tower for business reinvention, and Accenture (NYSE: ACN) announced a forward deployed engineering (FDE) program to help enterprises take agentic AI from enterprise pilot to production at scale.

Through the program, ServiceNow’s AI-native FDE team works together with industry-led Accenture FDEs inside mutual customers’ environments, collaborating to build agentic AI workflows natively on the ServiceNow AI Platform where enterprise work already runs, delivering value in production before enterprise rollout begins.

“Forward deployed engineering is how ServiceNow and Accenture turn mutual customers’ agentic AI business goals into value-generating production workloads,” said John Aisien, senior vice president and general manager, Central Product Management, Security & Risk at ServiceNow. “We’re not simply handing over instructions. Our teams are in the customers’ environments, implementing ServiceNow, customer, and third-party building blocks, and demonstrating the resulting value metrics in the ServiceNow AI Control Tower.”

“The question our clients ask is not whether to invest in AI — it’s how to make it work at enterprise scale,” said Ram Ramalingam, lead for Software and Platform Engineering at Accenture. “This program brings together Accenture’s industry depth and implementation reach with ServiceNow’s AI Platform to deliver real results, not roadmaps. Together, we can move AI from isolated experiments to a core driver of business reinvention for our clients.”

Moving from experimentation to enterprise outcomes

According to Accenture’s Pulse of Change research, while AI is widely seen as a driver of revenue growth, only 32% of leaders report sustained, enterprise-wide AI impact. This is not a technology problem, but often due to a delivery gap.

With the FDE program, Accenture and ServiceNow teams build agentic AI workflows natively inside the enterprise systems where work already happens, then scale them through a single continuous motion from first build to enterprise-wide deployment. The program is designed to drive measurable business outcomes: faster operations, lower costs, and improved customer experiences at scale.

ServiceNow and Accenture clients get access to more than 300 pre-built AI agent skills and agentic workflows on the ServiceNow AI Platform, backed by Accenture’s industry depth and ServiceNow’s platform reach. At the center is ServiceNow’s AI Control Tower, a unified command center that governs, secures, and manages AI agents at scale, giving organizations complete visibility into agent performance and outcomes without trading speed for control.

What makes this program different is how both companies come together to reinvent a value chain unique to each customer’s business. For every engagement, ServiceNow and Accenture build a purpose-built pod around the specific value chain — combining platform-native, AI-native, and industry expertise to take co-innovation from concept to production together.

For more information on ServiceNow and Accenture’s partnership to scale agentic AI across the enterprise, visit here.

About ServiceNow

ServiceNow (NYSE: NOW) is the AI control tower for business reinvention. The ServiceNow AI Platform integrates with any cloud, any model, and any data source to orchestrate how work flows across the enterprise. By unifying legacy systems, departmental tools, cloud applications, and AI agents, ServiceNow provides a single pane of glass that connects intelligence to execution across every corner of business. With more than 100 billion workflows running on the platform each year, ServiceNow helps organizations turn fragmented operations into coordinated, autonomous workflows that deliver measurable results. Learn how ServiceNow puts AI to work for people at www.servicenow.com.

About Accenture

Accenture is a leading solutions and services company that helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed across the enterprise, bringing together the talent of our approximately 786,000 people, our proprietary assets and platforms, and deep ecosystem relationships. Our strategy is to be the reinvention partner of choice for our clients and to be the most client-focused, AI-enabled, great place to work in the world. Through our Reinvention Services we bring together our capabilities across strategy, consulting, technology, operations, Song and Industry X with our deep industry expertise to create and deliver solutions and services for our clients. Our purpose is to deliver on the promise of technology and human ingenuity, and we measure our success by the 360° value we create for all our stakeholders. Visit us at accenture.com.

ServiceNow Forward-Looking Statements

This press release contains “forward-looking statements” about the expectations, beliefs, plans, and intentions relating to ServiceNow and Accenture’s forward-deployed engineering program. Such statements include statements regarding future product capabilities and offerings and expected benefits to ServiceNow. Forward-looking statements are subject to known and unknown risks and uncertainties and are based on potentially inaccurate assumptions that could cause actual results to differ materially from those expected or implied by the forward-looking statements. If any such risks or uncertainties materialize or if any of the assumptions prove incorrect, ServiceNow’s results could differ materially from the results expressed or implied by the forward-looking statements made. ServiceNow undertakes no obligation, and does not intend, to update the forward-looking statements. Factors that may cause actual results to differ materially from those in any forward-looking statements include: (i) delays and unexpected difficulties and expenses in executing the product capabilities and offerings, (ii) changes in the regulatory landscape related to AI and (iii) uncertainty as to whether sales will justify the investments in the product capabilities and offerings. Further information on factors that could affect ServiceNow’s financial and other results is included in the filings ServiceNow makes with the Securities and Exchange Commission from time to time.

Accenture Forward-Looking Statements

Except for the historical information and discussions contained herein, statements in this news release may constitute forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Words such as “may,” “will,” “should,” “likely,” “anticipates,” “aspires,” “expects,” “intends,” “plans,” “projects,” “believes,” “estimates,” “positioned,” “outlook,” “goal,” “target” and similar expressions are used to identify these forward-looking statements. These statements are not guarantees of future performance nor promises that goals or targets will be met, and involve a number of risks, uncertainties and other factors that are difficult to predict and could cause actual results to differ materially from those expressed or implied. These risks include, without limitation, that the partnership might not achieve its anticipated benefits and risks and uncertainties related to the development and use of AI, including advanced AI, could harm our business, damage our reputation or give rise to legal or regulatory action, as well as the risks, uncertainties and other factors discussed under the “Risk Factors” heading in Accenture plc’s most recent Annual Report on Form 10-K and other documents filed with or furnished to the Securities and Exchange Commission. Statements in this news release speak only as of the date they were made, and Accenture undertakes no duty to update any forward-looking statements made in this news release or to conform such statements to actual results or changes in Accenture’s expectations.

© 2026 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.

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ServiceNow hits $1 billion in AWS Marketplace transactions as enterprises rapidly adopt AI at scale

ServiceNow AI Control Tower and Amazon Bedrock AgentCore give mutual customers a unified governance architecture for the enterprise

New AI agent integrations across security, IT operations, and telecommunications detect, act, and resolve issues with humans in the loop

Developers can build and deploy AI agents on the ServiceNow AI Platform directly from Kiro, the AWS agentic IDE

LAS VEGAS–(BUSINESS WIRE)–Knowledge 2026 —May 6, 2026 —ServiceNow (NYSE: NOW), the AI control tower for business reinvention, and Amazon Web Services (AWS) today announced a platform expansion as companies rapidly deploy and scale agentic AI across the enterprise, which follows a significant milestone of ServiceNow AWS Marketplace transactions surpassing $1 billion. The expansion introduces a governance architecture for mutual customers built on ServiceNow AI Control Tower and Amazon Bedrock AgentCore; new AI agent integrations for enterprise security, IT operations, and telecommunications that detect, act, and resolve issues; and a native developer integration that lets teams build and deploy ServiceNow applications directly from Kiro, the AWS agentic integrated development environment (IDE), so that developers can move from idea to impact faster.

ServiceNow’s $1 billion milestone reflects something larger than a commercial threshold. Enterprises are consolidating their AI infrastructure around platforms they trust, and increasingly, that means combining cloud and foundation model services with orchestration, governance, and workflow execution. ServiceNow’s platform expansion with AWS is a direct response to that demand: customers who have already committed to both platforms now have a single, connected architecture to deploy and scale AI. The AI workloads they’ve already built and deployed on AWS can now be governed, audited, and wired into the ServiceNow workflows that run their business, without rebuilding anything from scratch.

“The enterprises leading in AI are deploying it, at scale, across their most critical operations on a trusted governance architecture. ServiceNow and AWS are meeting that moment together,” said Jon Sigler, executive vice president and general manager, AI Platform at ServiceNow. “ServiceNow’s orchestration and governance capabilities combined with AWS’s cloud and model infrastructure is the architecture that makes that possible, and the $1 billion in AWS Marketplace transactions shows that the market agrees.”

“Organizations aren’t experimenting with AI anymore, they’re operationalizing it,” said Chris Grusz, managing director of technology partnerships at AWS. “ServiceNow and AWS are delivering the architecture to make that real: unified governance, trusted infrastructure, and developer tools that take AI from idea to impact. With more than $1 billion in AWS Marketplace transactions, the momentum is clear. Now we’re making it easier than ever to deploy, govern, and scale AI agents across the enterprise.”

AI Control Tower and Amazon Bedrock AgentCore: where enterprise AI gets built and governed

Enterprises scaling agentic AI face a common problem: agents built on different models, governed by different teams, with no unified view of what they are doing or whether they are working. ServiceNow AI Control Tower and Amazon Bedrock AgentCore address this together. Amazon Bedrock AgentCore provides the flexible foundation to build agents on the models and infrastructure customers trust, while ServiceNow AI Control Tower delivers the unified control plane to help govern how those agents operate across the business. Leading enterprises are building toward this architecture now.

“At TEKsystems Global Services, we don’t just implement AI transformation for our customers, we live it,”said Matt Payne, senior vice president and head of TEKsystems Global Services. “ServiceNow’s AI Control Tower gives us enterprise-wide governance to deploy and manage AI agents with confidence, across our own operations and the complex client environments we support. Combined with Amazon Bedrock AgentCore, it’s a single place to govern, manage, and orchestrate every AI agent, model, and workflow, whether built in ServiceNow or AWS. That hands-on experience is our edge. We know what it takes to move AI from pilot to production at enterprise scale because we’re doing it ourselves.”

ServiceNow AI Specialists and AWS AI agents tackle critical enterprise workflows

Across security, IT operations, and telecommunications, manual triage and system handoffs compound risk and delay outcomes. ServiceNow AI specialists working alongside AWS AI agents handle these workflows end to end, with humans in the loop to guide important decisions.

• Security use case: The moment a configuration change is detected in the Configuration Management Database (CMDB), ServiceNow Vulnerability Resolution AI Specialist calls the AWS Security Agent via the Model Context Protocol (MCP) to run an on-demand penetration test against the affected application. ServiceNow then layers on identity blast radius from Veza and device exposure from Armis, producing a complete risk picture. It then determines the fix and presents it for a single human approval. Remediation executes on two parallel tracks: patch deployed, privileges reduced. A final call to the AWS Security Agent will confirm that the fix is clean.
• IT operations use case: An anomaly detected by Amazon CloudWatch is routed to ServiceNow, where the ServiceNow AIOps AI Specialist and Site Reliability Engineering AI Specialist collaborate with the AWS DevOps Agent to correlate events, enrich signals with business context, and validate and execute remediation with human approval. Post-remediation, alerts are confirmed cleared, often proactively without a formal incident ever being raised.
• Telecommunications use case:AServiceNow and AWS AI-orchestrated telecommunications customer care solution leverages the combined strengths of Amazon Connect for interactions, AWS for infrastructure intelligence, and ServiceNow Telecommunications Service Management for orchestration. When a customer contacts support, a transcript streams into the ServiceNow Telco Customer 360-powered agent workspace in real time via Amazon Connect. A ServiceNow AI specialist queries RADCOM, a cloud-native network intelligence provider running on AWS, for a scored assessment of voice, video, and streaming quality via Agent-to-Agent (A2A), and simultaneously queries ARIA for billing history and lifetime value. Based on findings and knowledge base rules, the AI specialist recommends a resolution, routes important decisions for human approval, triggers field dispatch if required, and closes the case with a full audit trail.

Build and deploy ServiceNow AI Agents directly from Kiro

ServiceNow is bringing the ServiceNow SDK with Build Agent skills natively into Kiro, giving developers the ability to build and deploy ServiceNow applications, including AI agents, directly from the AWS IDE. With a single-click install from the Kiro Power Marketplace, developers can scaffold applications, configure workflows, and create AI agents through prompt engineering without ever leaving their IDE. Because everything runs natively on the ServiceNow AI Platform, developers get enterprise governance and security without any additional configuration.

Availability

• ServiceNow AI Control Tower with Amazon Bedrock AgentCore is available now in AWS Marketplace.

• The ServiceNow Vulnerability Resolution AI Specialist, AIOps AI Specialist, and Site Reliability Engineering AI Specialist integrations with AWS AI agents is expected to be available later this year, with launch details to follow.

• The AI specialist workflow for telecommunications is available now. ServiceNow Telecommunications Service Management is a generally available product and now includes ServiceNow Telco Customer 360 as part of the Australia Platform release.

• The ServiceNow SDK for Kiro is available now through the Kiro Power Marketplace.

• Learn more about how ServiceNow is expanding its Autonomous Workforce of AI Specialists to major business functions at Knowledge 2026 here, and how it’s introducing new AI Control Tower capabilities to further discover, observe, govern, secure, and measure AI deployed across the enterprise here.

About ServiceNow

ServiceNow (NYSE: NOW) is the AI control tower for business reinvention. The ServiceNow AI Platform integrates with any cloud, any model, and any data source to orchestrate how work flows across the enterprise. By unifying legacy systems, departmental tools, cloud applications, and AI agents, ServiceNow provides a single pane of glass that connects intelligence to execution across every corner of business. With more than 100 billion workflows running on the platform each year, ServiceNow helps organizations turn fragmented operations into coordinated, autonomous workflows that deliver measurable results. Learn how ServiceNow puts AI to work for people at www.servicenow.com.

Forward-looking statements

This press release contains “forward-looking statements” about the expectations, beliefs, plans, and intentions relating to ServiceNow and AWS innovations. Such statements include statements regarding future product capabilities and offerings and expected benefits to ServiceNow. Forward-looking statements are subject to known and unknown risks and uncertainties and are based on potentially inaccurate assumptions that could cause actual results to differ materially from those expected or implied by the forward-looking statements. If any such risks or uncertainties materialize or if any of the assumptions prove incorrect, ServiceNow’s results could differ materially from the results expressed or implied by the forward-looking statements made. ServiceNow undertakes no obligation, and does not intend to update the forward-looking statements. Factors that may cause actual results to differ materially from those in any forward-looking statements include: (i) delays and unexpected difficulties and expenses in executing the product capabilities and offerings, (ii) changes in the regulatory landscape related to AI and (iii) uncertainty as to whether sales will justify the investments in the product capabilities and offerings. Further information on factors that could affect ServiceNow’s financial and other results is included in the filings ServiceNow makes with the Securities and Exchange Commission from time to time.

© 2026 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.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260506000690/en/

Media Contact

Katlyn Hirokawa

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KEYWORDS: Nevada United States North America

INDUSTRY KEYWORDS: Data Management Security Technology Telecommunications Software Artificial Intelligence Internet

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