Observe, govern, and control every AI agent in your enterprise.
ARMS (Agent Resource Management System) is a purpose-built observability and governance layer for production agentic systems, providing engineering, operations, and compliance teams with a shared view of how agents behave in the real world.
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ARMS · TRACE
OK
Tokens
4.2k
Cost
$0.041
Latency
1.42s
Policy
Pass
Built for agents,
not infrastructure.
Traditional monitoring was built for infrastructure and applications - not for non-deterministic, multi-step agents that call tools, retrieve documents, and make decisions. ARMS captures every runtime signal across agent workflows and surfaces it in a structured, actionable way.
Six things ARMS makes possible
Trace every step
Capture prompts, tool calls, retrieval steps, model responses, timing, and token-level cost across any agent workflow.
Prompt
Tools
Tokens
Root-cause investigation
Pinpoint failure points across models, prompts, tools, memory, orchestration logic, or external dependencies.
Spans
Replay
Runtime quality and risk monitoring
Detect anomalies, unexpected actions, and policy exceptions before they become costly incidents.
Policies
Alerts
Cost attribution
Map AI consumption to teams, workflows, and business use cases for tighter cost governance.
By team
Budget
Human oversight support
Enable review, escalation, and governance processes for high-impact or sensitive agent actions.
Escalations
Approvals
Audit-ready records
Maintain defensible histories of decisions, access patterns, and outcomes for governance and external review.
Exportable
Signed
Lightweight to integrate. Broad in coverage.
ARMS integrates via lightweight SDK connectors and framework-level instrumentation. No redesign of how agents are built or deployed - just a consistent observability layer added on top.
Frameworks
LangGraph, LangChain, OpenAI Agents, AutoGen, Google ADK, and custom flows.
Platforms
Azure AI Foundry, AWS, Google Cloud, hybrid, and on-premise environments.
Workflow types
RAG pipelines, OCR and document processing, multi-agent architectures, tool-driven automations.
Telemetry
Complements existing monitoring stacks rather than replacing them
Two deployment models. One governance standard.
Managed by Elsai
SaaS
Fully hosted
Zero infrastructure overhead. Onboard in minutes. Ideal for teams prioritizing speed and simplicity.
Setup Time
Minutes
Infra to Run
None
Updates
Continuous
Data Residency
elsai-managed
Self-hosted
On-premise
Inside your infrastructure
Deployed inside your own infrastructure. Full control over data residency, storage, and access policies. Suited for regulated environments, data sovereignty, and strict security postures.
Setup Time
Days
Infra to Run
Your cluster
Updates
Versioned releases
Data Residency
Stays with you
Explore deployment options →
Not monitoring. Not logging. Purpose-built for agents.
APM doesn't speak agent
Infrastructure APM tools don't understand prompts, tool chains, or retrieval paths.
Generic logs aren't enough
Generic logs fail to provide the structure required for multi-step agent debugging.
Agent-native context
ARMS captures agent-native context, including the instructions to the agent, what it retrieved, what it decided, and what it did.
Governance from day one
ARMS builds governance and auditability from the start, rather than adding them later.
Frequently asked questions
When do we need ARMS?:
When do we need ARMS?:
When do we need ARMS?:
When do we need ARMS?:
elsai
Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.