When it comes to AI, enterprises no longer deploy just large language models. They also deploy autonomous AI agents that act, decide, collaborate, and integrate across systems. ServiceNow AI Control Tower gives enterprises a centralized command center for governing agentic AI, including strategy, inventory, risk, compliance, and value measurement.
Now, by integrating with Amazon Bedrock AgentCore, this capability extends into deep observability, telemetry, and operational governance of agentic systems running in Amazon Web Services (AWS) and beyond.
ServiceNow AI Control Tower already integrates with Amazon Bedrock. This allows for discovering, monitoring, and governing agentic AI and models. This existing integration enables governance for AI usage and prompt management, and it supports responsible AI practices.
The integration with Amazon Bedrock provides access to more than 100 foundation models, data sourcing from knowledge bases, and guardrails for content filtering and contextual grounding.
Each of these assets is then added to the unified AI asset inventory in ServiceNow Configuration Management Database, built on the common services data model framework that connects AI assets to business services.
ServiceNow AI Control Tower then tracks AI agents through their full lifecycle, assesses them for risk and compliance, and monitors usage to measure business value.
The new integration with Amazon Bedrock AgentCore extends this foundation by providing visibility into AI agents deployed on the AgentCore platform. This includes agent runtimes, code interpreters, browser tools, and gateways, regardless of where or how they were built.
While Amazon Bedrock enables build-time inference and governance, AgentCore adds agent-level intelligence. Organizations can discover AI agents and tools and monitor interactions, tool usage, cost, latency, and collaboration patterns among AI agents operating across AWS and ServiceNow environments.
This integration brings together two powerful platforms, each contributing critical capabilities:
- Amazon Bedrock AgentCore provides a secure and scalable runtime infrastructure as well as an observability layer for AI agents hosted in AWS. It captures telemetry, including parameters such as interaction counts, latencies, tool invocations, memory usage, and inter-agent communications. ServiceNow then discovers and ingests this data via secure APIs and its service graph connector framework.
- ServiceNow AI Control Tower serves as the control plane for governing and managing every AI agent across the enterprise. It gives organizations visibility into AI agents, models, and workflows, whether they’re built in, third party, or agentic. It also connects them to business services, risk frameworks, compliance requirements, and enterprise AI strategies.
The combined solution delivers six transformative benefits for enterprises scaling agentic AI:
- Adaptive workflow orchestration: AI Control Tower can discover and enroll any AWS-hosted agent that can sense new information, reason over it, and act as part of enterprise workflows. This enables fully autonomous operations without human intervention.
- End-to-end visibility of the agentic ecosystem: Executives gain a single pane of glass across their native AI agents, AWS-hosted agents, and third-party agents, including operational behavior, performance, and value metrics.
- Automated governance and lifecycle management: AI Control Tower helps enforce policies, risk frameworks, and audit trails for every AI agent. Integration with AgentCore telemetry enables detection and automatic remediation of drift, bias, tool-usage anomalies, and cost spikes.
- Operational optimization and continuous improvement: AgentCore telemetry feeds directly into ServiceNow improvement workflows. Latency spikes, accuracy degradation, and cost overruns become triggers for immediate remediation.
- Business-outcome alignment and return-on-investment tracking: AI Control Tower links agent performance to business metrics such as hours saved, cases resolved, and costs avoided. Enterprise leaders get the evidence they need to justify AI investments and connect them to strategy.
- Scalable, auditable, trustworthy AI operations: As AI agents proliferate, auditability and governance become increasingly critical, especially in regulated industries. Because all AI agent telemetry, compliance status, and governance data lives inside ServiceNow, teams can act on it immediately, closing the loop on shadow AI and keeping every agent in the enterprise governed, visible, and under control.
With its Amazon Bedrock and Amazon Bedrock AgentCore integrations, ServiceNow AI Control Tower is the enterprise command center for all AI operations. Together, these solutions deliver what enterprises need most right now: the confidence to scale agentic AI without losing control.
By combining Amazon Bedrock AgentCore runtime observability with ServiceNow AI Control Tower governance and business-value layer, organizations can move from AI experimentation to AI operations at speed, at scale, and with accountability built in.
Position your enterprise at the forefront of digital transformation and operational excellence with ServiceNow on AWS.
