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Foundry

AI observability (ARMS)

Observe, govern, and control every AI agent in your Workflow

elsai observe the agent resource management system is an observability and governance layer for production agentic systems, giving engineering, operations and compliance teams a shared view of real-world agent behaviour.

Book a demo →

Observe, govern, and control every AI agent in your Workflow

ARMS — the Agent Resource Management System — is an observability and governance layer for production agentic systems, giving engineering, operations and compliance teams a shared view of real-world agent behaviour.

ARMS · trace

OK

Tokens

4.2k

Cost

$0.041

Latency

1.42s

Policy

Pass

Home

Foundry

AI observability (ARMS)

Observe, govern, and control every AI agent in your Workflow

elsai observe the agent resource management system is an observability and governance layer for production agentic systems, giving engineering, operations and compliance teams a shared view of real-world agent behaviour.

Book a demo →

Observe, govern, and control every AI agent in your Workflow

ARMS — the Agent Resource Management System — is an observability and governance layer for production agentic systems, giving engineering, operations and compliance teams a shared view of real-world agent behaviour.

ARMS · trace

OK

Tokens

4.2k

Cost

$0.041

Latency

1.42s

Policy

Pass

Home

Foundry

AI observability (ARMS)

Observe, govern, and control every AI agent in your Workflow

elsai observe the agent resource management system is an observability and governance layer for production agentic systems, giving engineering, operations and compliance teams a shared view of real-world agent behaviour.

Book a demo →

Observe, govern, and control every AI agent in your Workflow

ARMS — the Agent Resource Management System — is an observability and governance layer for production agentic systems, giving engineering, operations and compliance teams a shared view of real-world agent behaviour.

ARMS · trace

OK

Tokens

4.2k

Cost

$0.041

Latency

1.42s

Policy

Pass

When agents go wrong, You need answers fast

When agents go wrong, You need answers fast

Failures across agents don't fail loudly they fail quietly. elsai observe surfaces what actually happened, how often, and where.

Failures across agents don't fail loudly they fail quietly. elsai observe surfaces what actually happened, how often, and where.

What teams face without ARMS

Engineering Teams

Engineering Teams

An issue appears in production, but the failure spans multiple agents, retrieval steps and external tools. Tracing the root cause becomes error-prone investigation with limited visibility.

Operations Teams 

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. 

Compliance Teams 

Compliance Teams 

Auditors require evidence of AI-driven decisions, policy enforcement, and user interactions. Without a complete runtime record, proving compliance becomes difficult and resource-intensive. 

Business Leadership 

Business Leadership 

Agents are executing increasingly important workflows across the enterprise, yet there is limited visibility into what decisions are being made, how they are being made, and whether governance controls are working as intended. 

Engineering Teams

An issue appears in production, but the failure spans multiple agents, retrieval steps and external tools. Tracing the root cause becomes error-prone investigation with limited visibility.

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. 

Compliance Teams 

Auditors require evidence of AI-driven decisions, policy enforcement, and user interactions. Without a complete runtime record, proving compliance becomes difficult and resource-intensive. 

Business Leadership 

Agents are executing increasingly important workflows across the enterprise, yet there is limited visibility into what decisions are being made, how they are being made, and whether governance controls are working as intended. 

Engineering Teams

An issue appears in production, but the failure spans multiple agents, retrieval steps and external tools. Tracing the root cause becomes error-prone investigation with limited visibility.

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. 

Compliance Teams 

Auditors require evidence of AI-driven decisions, policy enforcement, and user interactions. Without a complete runtime record, proving compliance becomes difficult and resource-intensive. 

Business Leadership 

Agents are executing increasingly important workflows across the enterprise, yet there is limited visibility into what decisions are being made, how they are being made, and whether governance controls are working as intended. 

elsai observe transforms agentic systems from black boxes into fully traceable, accountable operations.

elsai observe transforms agentic systems from black boxes into fully traceable, accountable operations.

Six governance layers. One runtime view.

Explore high-impact enterprise workflows powered by governed AI agents.

Six governance layers. One runtime view.

Explore high-impact enterprise workflows powered by governed AI agents.

02

Guardrails

04

Human in the loop

03

Instruction Manager

05

Contextual agent orchestration

06

Evaluation

01

elsai observe

ARMS

The operational backbone for every agent workflow. ARMS captures prompts, model responses, retrieval events, tool executions, token consumption, latency metrics, and policy outcomes in real time. 

Guardrails

Inspects every input and output flowing through agent workflows to detect prompt injection, hallucinations, sensitive data exposure, jailbreak attempts, and policy violations before they reach downstream systems. 

Instruction Manager

Every prompt is versioned, tested, approved, and governed before deployment. Teams can evolve agent behaviour safely without modifying application code. 

Human in the loop

Routes low-confidence outputs, policy exceptions, and high-risk actions to designated reviewers, creating a transparent record of human oversight. 

Contextual agent orchestration

Traces context sharing, state transitions, and agent handoffs across complex workflows, making the complete decision chain visible and debuggable. 

Evaluation

Connects prompt versions, workflow executions, and outcomes to continuously measure quality, compliance, and performance over time. 

ARMS

The operational backbone for every agent workflow. ARMS captures prompts, model responses, retrieval events, tool executions, token consumption, latency metrics, and policy outcomes in real time. 

Guardrails

Instruction Manager

Human in the loop

Contextual agent orchestration

Evaluation

One platform. one audit trail. one source of truth.

One platform. one audit trail. one source of truth.

Explore →

Built for agents,

not infrastructure.

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.

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 elsai observe makes possible

Six things elsai observe makes possible

Trace every step

Trace every step

Capture prompts, tool calls, retrieval steps, model responses, timing and token-level cost across any agent.

Capture prompts, tool calls, retrieval steps, model responses, timing and token-level cost across any agent.

PROMPT

TOOLS

TOKENS

Root-cause investigation

Root-cause investigation

Pinpoint failure points across models, prompts, tools, memory, orchestration logic, or external dependencies.

Pinpoint failure points across models, prompts, tools, memory, orchestration logic, or external dependencies.

SPANS

REPLAY

TOKENS

Runtime quality & risk monitoring

Runtime quality & risk monitoring

Detect anomalies, unexpected actions and policy exceptions before they become costly incidents.

Detect anomalies, unexpected actions and policy exceptions before they become costly incidents.

POLICIES

ALERTS

TOKENS

Cost attribution

Cost attribution

Map AI consumption to teams, workflows and business use cases for tighter cost governance.

Map AI consumption to teams, workflows and business use cases for tighter cost governance.

By team

By budget

TOKENS

Human oversight support

Human oversight support

Enable review, escalation and governance processes for high-impact or sensitive agent actions.

Enable review, escalation and governance processes for high-impact or sensitive agent actions.

Escalations

Approvals

TOKENS

Audit-ready records

Audit-ready records

Maintain defensible histories of decisions, access patterns and outcomes for governance and external reporting.

Maintain defensible histories of decisions, access patterns and outcomes for governance and external reporting.

Exportable

SIGNED

TOKENS

Explore elsai observe →

Explore elsai observe →

Lightweight to integrate. Broad in coverage.

Lightweight to integrate. Broad in coverage.

elsai observe 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.

elsai observe 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

Frameworks

Langgraph, langchain, openai agents, autogen, google adk and custom flows.

Langgraph, langchain, openai agents, autogen, google adk and custom flows.

Platforms

Platforms

Azure AI Foundry, AWS, Google Cloud, hybrid and on-premise environments.

Azure AI Foundry, AWS, Google Cloud, hybrid and on-premise environments.

Workflow types

Workflow types

RAG pipelines, OCR and document processing, multi-agent architectures, tool-driven automations.

RAG pipelines, OCR and document processing, multi-agent architectures, tool-driven automations.

Telemetry

Telemetry

Complements your existing monitoring stacks rather than replacing them.

Complements your existing monitoring stacks rather than replacing them.

Two deployment models. One governance standard.

Two deployment models. One governance standard.

Self-hosted

On-premise

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.

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

Managed by elsai

SaaS

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

Setup time

Minutes

Infra to Run

None

Updates

Continuous

Data residency

elsai-managed

Frequently asked questions

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?

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Enables security and basic functionality.

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Enables tracking of performance.

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