Engineering Teams
An issue appears in production, but the failure spans multiple agents, retrieval steps, and external tools. Tracing the root cause becomes a time-consuming investigation with limited visibility into the decision chain.
Operations Teams
AI usage grows across departments, but spend remains opaque. Teams struggle to understand where costs originate, which workflows drive consumption, and how budgets should be governed.
One Platform. One Audit Trail. One Source of Truth.
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 →
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.
