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You’re not here to write code. You’re here to understand what your AI agents are doing, what they cost, and whether they’re working. This guide is your non-technical walkthrough of the Agent Control Tower.

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Why this exists

As AI adoption scales, agents end up scattered across teams, repositories, and frameworks. Different departments build on different tools. Nobody has one place to see what’s running, what it costs, or whether it’s approved. The Agent Control Tower solves this. It’s a single source of truth for your entire AI landscape, whether agents were built on Orq, OpenAI, Vercel, LangGraph, or any other framework. One dashboard instead of five systems.

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The Live Monitoring Overview

Your executive dashboard. Six metric cards give you an instant health check. View the full Control Tower Overview for real-time monitoring.
Control Tower Overview showing six metric cards with sparkline trend comparisons

Live Monitoring Overview with six metric cards and sparkline trend comparisons

Each card compares current period vs. last period with a sparkline, so trends are visible at a glance.

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Agents Performance table

Below the metrics, every agent in your organization is listed with its name, environment tags, department, cost, invocations, and errors. This is your inventory: one place to answer “what agents do we have and what are they doing?”
Agents Performance table showing environment tags, department, cost, invocations, and errors

Agents Performance table with environment tags, department, cost, invocations, and error tracking

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The Assets view

Drill deeper across four tabs: Agents, Tools, Deployments, and Models. See the Assets documentation for detailed information.
Assets view with navigation tabs and summary cards

Assets view with navigation tabs and summary metrics cards

The top cards show total cost, total runs, active agents, and a Top Used Agents leaderboard. Below, each row shows cost, invocations, errors, endorsement status, and last active timestamp. You can search, filter, sort, and configure columns.
Agent row detail showing endorsement badge, department, cost, invocations, and last active

Agent details displaying endorsement badge, department, cost, invocations, and last active timestamp

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Key concepts

Endorsement A green “Production” badge means a human has signed off on that agent. Think of it as a quality gate. No badge? It may be experimental or unreviewed. Your question should always be: which production agents are endorsed, and which are running without sign-off?
Agent details showing endorsement badge and metadata

Production endorsement badge indicating agent approval status

Department tagging Agents are assigned to departments (e.g., “Engineering”), giving you cost allocation and accountability. If one department drives 80% of AI spend, this is where you see it. Environment tags Tags like “Production” show where an agent is deployed. Production agents carry different risk than staging or development. The Control Tower makes this visible.

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Your weekly checklist

Five things to check that keep you informed and ahead of problems.
Top Used Agents widget displaying agent rankings by usage

Top Used Agents widget showing the highest volume agents with their costs

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What’s coming next

What you see today is the visibility foundation. We’re building toward expanded cost and spend analytics, risk and compliance dashboards, and custom views for different stakeholders in your organization.

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Getting started

If your engineering team has already connected agents, you’re ready. Log in, explore the Overview, and run through the checklist above. If agents haven’t been connected yet, share the Getting Started guide with your engineering team. Setup takes minutes per agent. Questions? Reach out to your Orq.ai account team for a live walkthrough.