When Agents Go Wrong, You Need Answers Fast
Failures across agents don't fail loudly — they fail quietly. ARMS surfaces what actually happened, how often, and where.
What teams face without ARMS
ARMS transforms agentic systems from black boxes into fully traceable, accountable operations.
One Platform. One Audit Trail. One Source of Truth.
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 agentic 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.
PROMPT
TOOLS
TOKENS
Root-Cause Investigation
Pinpoint failure points across models, prompts, tools, memory, orchestration logic, or external dependencies.
SPANS
REPLAY
TOKENS
Runtime Quality & Risk Monitoring
Detect anomalies, unexpected actions and policy exceptions before they become costly incidents.
POLICIES
ALERTS
TOKENS
Cost Attribution
Map AI consumption to teams, workflows and business use cases for tighter cost governance.
BY TEAM
BY BUDGET
TOKENS
Human Oversight Support
Enable review, escalation and governance processes for high-impact or sensitive agent actions.
Escalations
Approvals
TOKENS
Audit-Ready Records
Maintain defensible histories of decisions, access patterns and outcomes for governance and external reporting.
Exportable
SIGNED
TOKENS
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 your 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
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 →
Frequently asked questions
My agents are live in production but when something breaks, I can't tell where. How does ARMS help?
We're scaling AI across teams and spend is climbing. How do we know where the budget is going?
Our auditors need a paper trail for every AI-driven decision. Can ARMS provide that?
How do we keep humans in control when agents are making high-stakes decisions at speed?
Will ARMS add overhead or force us to redesign how our agents are built?
How does ARMS fit alongside Azure AI Foundry, AWS, or other cloud AI platforms?
Our data is sensitive. Can we run ARMS without sending traces to a third-party platform?
How quickly can we get ARMS running and what does rollout actually look like?
Embed AI agents into your existing systems
Seamlessly integrate AI agents into your current platforms to elevate capabilities, optimize workflows, and accelerate innovation.
