Observe, Govern, and Control every AI Agent in your Workflow
ARMS (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 behavior.
ARMS · TRACE
OK
Tokens
4.2k
Cost
$0.041
Latency
1.42s
Policy
Pass
Observe, Govern, and Control every AI Agent in your Workflow
ARMS (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 behavior.
ARMS · TRACE
OK
Tokens
4.2k
Cost
$0.041
Latency
1.42s
Policy
Pass
When Agents Go Wrong, You Need Answers Fast
Agentic systems don't fail because they make mistakes. They fail because nobody can see where those mistakes happened, why they occurred, or how often they're repeated.
What Teams Face Without ARMS
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.
They are measured, not just managed
Every engagement includes observability via ARMS cost per transaction, workflow accuracy, latency, and policy compliance in a single, unified view. You don't get a status update. You get a dashboard that your operations team can act on.
They have shipped it before in systems you recognize
Our engineers have built production-agile operations for prior authorization (Epic + Cerner), clinical protocol review (21 CFR Part 11), and financial reconciliation (SAP + Salesforce). They bring institutional memory that no newly-formed AI team can replicate from scratch.
ARMS 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.
ARMS
Runtime Observability Layer
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
Policy Enforcement Layer
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.
Prompt Manager
Behaviour Governance Layer
Every prompt is versioned, tested, approved, and governed before deployment. Teams can evolve agent behaviour safely without modifying application code.
Human-in-the-Loop
Oversight Layer
Routes low-confidence outputs, policy exceptions, and high-risk actions to designated reviewers, creating a transparent record of human oversight.
Contextual Agent Orchestration
Multi-Agent Coordination Layer
Traces context sharing, state transitions, and agent handoffs across complex workflows, making the complete decision chain visible and debuggable.
Evaluation
Continuous Quality Layer
Connects prompt versions, workflow executions, and outcomes to continuously measure quality, compliance, and performance over time.
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 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.
elsai
Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.
Observe, Govern, and Control every AI Agent in your Workflow
ARMS (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 behavior.
ARMS · TRACE
OK
Tokens
4.2k
Cost
$0.041
Latency
1.42s
Policy
Pass
Observe, Govern, and Control every AI Agent in your Workflow
ARMS (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 behavior.
ARMS · TRACE
OK
Tokens
4.2k
Cost
$0.041
Latency
1.42s
Policy
Pass
When Agents Go Wrong, You Need Answers Fast
Agentic systems don't fail because they make mistakes. They fail because nobody can see where those mistakes happened, why they occurred, or how often they're repeated.
What Teams Face Without ARMS
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.
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.
ARMS 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.
ARMS
Runtime Observability Layer
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
Policy Enforcement Layer
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.
Prompt Manager
Behaviour Governance Layer
Every prompt is versioned, tested, approved, and governed before deployment. Teams can evolve agent behaviour safely without modifying application code.
Human-in-the-Loop
Oversight Layer
Routes low-confidence outputs, policy exceptions, and high-risk actions to designated reviewers, creating a transparent record of human oversight.
Contextual Agent Orchestration
Multi-Agent Coordination Layer
Traces context sharing, state transitions, and agent handoffs across complex workflows, making the complete decision chain visible and debuggable.
Evaluation
Continuous Quality Layer
Connects prompt versions, workflow executions, and outcomes to continuously measure quality, compliance, and performance over time.
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 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.
elsai
Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.
Observe, Govern, and Control every AI Agent in your Workflow
ARMS (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 behavior.
ARMS · TRACE
OK
Tokens
4.2k
Cost
$0.041
Latency
1.42s
Policy
Pass
Observe, Govern, and Control every AI Agent in your Workflow
ARMS (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 behavior.
ARMS · TRACE
OK
Tokens
4.2k
Cost
$0.041
Latency
1.42s
Policy
Pass
When Agents Go Wrong, You Need Answers Fast
Agentic systems don't fail because they make mistakes. They fail because nobody can see where those mistakes happened, why they occurred, or how often they're repeated.
What Teams Face Without ARMS
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.
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.
ARMS 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.
ARMS
Guardrails
Prompt Manager
Human-in-the-Loop
Contextual Agent Orchestration
Evaluation
ARMS
Runtime Observability Layer
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.
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 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.
elsai
Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.
Observe, Govern, and Control every AI Agent in your Workflow
ARMS (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 behavior.
ARMS · TRACE
OK
Tokens
4.2k
Cost
$0.041
Latency
1.42s
Policy
Pass
Observe, Govern, and Control every AI Agent in your Workflow
ARMS (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 behavior.
ARMS · TRACE
OK
Tokens
4.2k
Cost
$0.041
Latency
1.42s
Policy
Pass
When Agents Go Wrong, You Need Answers Fast
Agentic systems don't fail because they make mistakes. They fail because nobody can see where those mistakes happened, why they occurred, or how often they're repeated.
What Teams Face Without ARMS
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.
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.
ARMS 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.
ARMS
Guardrails
Prompt Manager
Human-in-the-Loop
Contextual Agent Orchestration
Evaluation
ARMS
Runtime Observability Layer
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.
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 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.
elsai
Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.
Observe, Govern, and Control every AI Agent in your Workflow
ARMS (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 behavior.
ARMS · TRACE
OK
Tokens
4.2k
Cost
$0.041
Latency
1.42s
Policy
Pass
Observe, Govern, and Control every AI Agent in your Workflow
ARMS (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 behavior.
ARMS · TRACE
OK
Tokens
4.2k
Cost
$0.041
Latency
1.42s
Policy
Pass
When Agents Go Wrong, You Need Answers Fast
Agentic systems don't fail because they make mistakes. They fail because nobody can see where those mistakes happened, why they occurred, or how often they're repeated.
What Teams Face Without ARMS
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.
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.
ARMS 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.
ARMS
Guardrails
Prompt Manager
Human-in-the-Loop
Contextual Agent Orchestration
Evaluation
ARMS
Runtime Observability Layer
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.
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 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.
elsai
Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.
elsai
Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.
Observe, Govern, and Control every AI Agent in your Workflow
ARMS (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 behavior.
ARMS · TRACE
OK
Tokens
4.2k
Cost
$0.041
Latency
1.42s
Policy
Pass
When Agents Go Wrong, You Need Answers Fast
Agentic systems don't fail because they make mistakes. They fail because nobody can see where those mistakes happened, why they occurred, or how often they're repeated.
What Teams Face Without ARMS
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.
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.
ARMS 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.
ARMS
Guardrails
Prompt Manager
Human-in-the-Loop
Contextual Agent Orchestration
Evaluation
ARMS
Runtime Observability Layer
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.
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 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.
elsai
Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.