ServiceNow 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’s 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.
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.
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’s 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 ServiceNow’s AIOps AI Specialist and SRE 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: A ServiceNow 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. ServiceNow’s 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 SRE 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.
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This entry was posted on May 6, 2026 at 1:00 pm and is filed under Commentary with tags ServiceNow. You can follow any responses to this entry through the RSS 2.0 feed.
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ServiceNow hits $1 billion in AWS Marketplace transactions as enterprises rapidly adopt AI at scale
ServiceNow 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’s 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.
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.
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.
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
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This entry was posted on May 6, 2026 at 1:00 pm and is filed under Commentary with tags ServiceNow. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.