The management plane
Manage AI agents built anywhere
Most tools only manage the agents they build. SuperOrgs is the neutral layer that puts every agent you run on one org chart, with a role, a manager, and a scorecard, no matter who built it.
The shift
Building an agent is easy now. Running a fleet of them is the hard part.
Agents are showing up everywhere. One team buys a sales agent, another wires up a support bot, a third writes its own. Each one comes with its own dashboard and its own bill. The work is real, but nobody can say who owns what, what it costs, or whether it still earns its keep. The management is bundled into each builder and buried.
What you get
One place to run the whole workforce
One org chart for every agent
Place each agent in a real role under a real manager, whether it was built in-house, bought, or spun up by another team. Reporting lines and handoffs to people are explicit, not implied.
Cost and output across the fleet
See spend, throughput, and quality for each agent and each team in one view, not buried in five separate builder dashboards. Know the return before you scale a workflow.
One set of guardrails and one audit trail
Scope what every agent can touch, require approval on sensitive actions, and keep a single log of every action taken. Your governance lives with you, not with each vendor.
Humans and agents in one record
Manage your people and your agents in the same system with the same muscles your company already has. The workforce is mixed, so the management plane should be too.
Works with your stack
Connects to the agents and tools you already run
Neutral means it has to meet your agents where they are. Native connectors pull cost and output from the AI platforms your teams build on, sync your people from 50+ HRIS systems through Merge.dev, and tie into the tools your company already lives in.
AI platforms and agents
Native connectors
Systems of record
50+ HRIS via Merge.dev
Where the work happens
Productivity connectors
Built something custom or running a platform not listed here? Enterprise plans add connectors on request, so every agent still lands on the same org chart.
Builder management vs a management plane
Why a neutral layer beats whatever ships inside the builder
Builder-bundled management
SuperOrgs management plane
What it manages
Only the agents built inside that one tool
Any agent you run, from any builder, plus your people
Org structure
A flat list of bots and workflows
A real org chart with roles, managers, and reporting lines
Cost accountability
Usage for that one tool, in isolation
Cost and output per agent across the whole fleet
Guardrails and audit
Locked to each vendor and inconsistent across tools
One permission model and one audit trail for everything
Who it is for
The team that built that specific agent
The people accountable for the whole AI workforce
Weighing us against a specific platform? See SuperOrgs vs Relevance AI.
Questions
The honest answers
Does SuperOrgs build the agents for me?
No. SuperOrgs is the management plane, not an agent factory. You build or buy agents wherever you like. We give you one place to give each one a role, a manager, and a scorecard, then run and review the work.
What does it mean to manage an agent like an employee?
Every agent gets a role, a human manager, and a scorecard. You see what it costs, what it produces, and what it is allowed to touch. The same accountability you already apply to people, applied to agents.
Why not just use the management built into my agent builder?
Builder-bundled management only covers the agents made in that builder. The moment you run agents in more than one place, your accountability fractures across dashboards. A neutral plane keeps one org chart, one cost view, and one audit trail no matter where an agent came from.
Can I start without talking to sales?
Yes. SuperOrgs is live and self-serve. Sign up free and start mapping your agents today, or book a demo if you want a walkthrough for a larger team.
Put your agents on the org chart.
However you built them, manage them in one place. Sign up free and start mapping your AI workforce today, or book a demo and we will walk you through it.