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Deploy autonomous agents confidently — full visibility, human override always available.

AgentOps

Monitors, traces, and controls multi-step AI agent workflows in production, providing full visibility into tool calls, reasoning steps, cost per run, and failure modes with human-in-the-loop override capabilities. Addresses the production reliability gap that makes enterprises hesitant to deploy autonomous AI agents for critical business processes.

Why It Matters

AgentOps answers the question that keeps autonomous AI out of production — “what is the agent actually doing, and what if it goes wrong?” Full tracing of every tool call and reasoning step, plus circuit breakers and human approval gates for high-stakes actions, gives enterprises the control layer that makes agent deployment a managed risk instead of a leap of faith.
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Visibility into the black box

Multi-step agent workflows fail in ways single LLM calls don't — full traces of tool calls, reasoning, and cost per run make agent behavior debuggable and auditable.

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Human override, always

Circuit breakers and approval gates on high-stakes actions — absent from open-source agent frameworks — mean an agent can act autonomously on routine work while humans keep authority over irreversible decisions.

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Cost and failure control at run level

Per-run cost tracking and failure-mode detection prevent runaway agents from burning API budgets or repeating broken workflows unattended.

The Cloudly Advantage

AgentOps positions Cloudly at the frontier of the next enterprise AI wave — autonomous agents — with exactly the offering that wave will need first: operational control.
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Frontier positioning ahead of demand

Enterprise agent adoption is just beginning — building the control layer now makes Cloudly the reference partner when banking and telecom clients move from pilots to production agents.

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The trust unlock for agent deals

Human-in-the-loop gates are what convince risk-averse enterprises to deploy agents at all — Cloudly sells the confidence, then implements the agents.

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AIOps for the newest workload

Monitoring, tracing, and incident control for agents is our core service identity applied to the most advanced AI — a natural extension of DriftShield and AlertOrchestrator expertise.

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Tops off the GenAI stack

TransferHub, LLMGateway, RAGBuilder, PromptForge, and now agent operations — the complete enterprise GenAI lifecycle under one vendor, unmatched regionally.

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Step Functions and LangGraph services

Agent workflow orchestration on Step Functions pulls AWS consultancy, while LangGraph/CrewAI implementation expertise commands frontier-skill premium rates.

The Final Takeaway

Per-agent recurring revenue — Every production agent needs continuous monitoring and control — a managed-service model that scales with the client's agent fleet, which will only grow.

Powered By

LangGraph

Core to the AgentOps technology stack.

CrewAI

Core to the AgentOps technology stack.

AgentOps SDK

Core to the AgentOps technology stack.

OpenTelemetry traces

Core to the AgentOps technology stack.

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