You built the agents. We prove they paid off.
Onepane is the independent platform that puts a measured return on every AI agent your teams already built — across any framework, with no agents of our own to favor. See what each one costs, prove what it returned, and roll back any action it takes on a live system.
Your company runs hundreds of AI agents. Which one made money?
Most enterprises can't answer that. Agents are scattered across teams, clouds and frameworks, and no single layer accounts for them. Onepane attaches a dollar return to every agent, shows what each costs across every platform in one view, and governs them all from one seat.
- Producing measurable ROI
- 38
- Stalled in pilot
- 112
- Unknown / unattributed
- 97
See what every AI agent costs, prove what it returned, route work to the best one.
Every agent's cost tied to its real business output, rolled up to team and department, with the value assumption editable and auditable — a number that survives CFO scrutiny.
Per-agent spend across Azure AI Foundry, AWS Bedrock, internal and SaaS agents in one view. No more agent cost hiding in five separate bills.
Send each task to the agent that does it best, on any platform — the seat that makes cost and ROI measurable per agent in the first place.
See the mechanism on how it works, or read what is agent ROI.
When an AI agent breaks production, can you undo it?
With Onepane you can. Roll back what an agent changed on a live system, and reconstruct exactly why it acted (behavioral root-cause analysis). Kill-switch and blast-radius limits keep one agent from taking down the rest.
More on trace, audit and oversight.
The one layer with no agents of its own to sell you.
No cloud or SaaS vendor will neutrally route work to a competitor's agent, or rank a rival's agent as higher-ROI than its own. Onepane builds no agents — so the cost and ROI we report take no side. That independence is the product.
A typical large enterprise leaves ~$8M a year on the table. (Illustrative)
The return is already sitting in the agents you built. Onepane helps you capture it.
Gartner expects 40%+ of agentic AI projects to be cancelled by end of 2027 for unclear value and cost. (Gartner, Jun 2025.)
| Lever | Illustrative annual impact |
|---|---|
| Consolidate siloed / duplicate agents | ~$1.0M |
| Move stalled pilots into production | ~$1.6M |
| Reactivate stranded agents (universal tag) | ~$0.8M |
| Modernize legacy workflows into apps | ~$1.8M |
| Cut agent-incident cost (rollback + RCA) | ~$3.0M |
| Illustrative total | ~$8M / year |
All figures illustrative — value pools Onepane helps capture, not guaranteed savings; validated per account.
Sources: Gartner (40% of agentic AI projects canceled by end of 2027, Jun 2025; Six Steps to Manage AI Agent Sprawl); McKinsey; Deloitte; ISG / KPMG (enterprise AI spend).
Start with the agents you have. Expand on your terms.
No migration, no rip-and-replace. You choose how far it goes.
Plug in the agents you already have
Plug in the agents your teams built on any framework, with no migration. Trigger, govern, observe and audit them from day one.
Unlock the deep controls
Move your highest-value agents onto Onepane for the deep controls: roll back an agent's action, reconstruct why it acted, and contain its blast radius. A managed-operations tier, where we run your fleet to an SLA, is on the roadmap.
Early, on purpose — in a category enterprises are choosing now.
Independent by design
We build no agents of our own, so what we report about cost and ROI favors no platform.
Live in real environments
Active enterprise proofs-of-concept across US and MENA — built with design partners, not in a lab.
Forward-deployed delivery
Our engineers embed with your team to stand up your hardest agents and own the outcome.
Questions enterprises ask us.
What is an agent control plane?
An agent control plane is one seat to operate your whole fleet of AI agents — prove each agent's ROI, see its cost, route work to the best-fit agent, govern and roll back what they do, and trace every action — across any platform, whoever built the agent. Onepane is an independent agent control plane that builds no agents of its own.
How do you prove the ROI of an AI agent?
You tie each agent's full cost (tokens, compute, tools) to the business output it produced — tickets deflected, invoices matched, downtime avoided — using an explicit, editable, auditable value-per-output assumption. Onepane meters both sides per agent and rolls the return up to team and department.
Can Onepane roll back an AI agent's action?
Yes. Onepane can undo what an agent did to a live system — configuration, data, transactions and access changes — and reconstruct why it acted. A kill-switch and blast-radius limits let enterprises run agents in production safely.
Do we have to rebuild or migrate our agents?
No. Connect the agents your teams already built on any framework, with no migration. You only move an agent onto Onepane natively when you want its deepest controls (rollback, RCA, blast-radius), and only for the agents you choose.
How is Onepane different from our cloud's agent tooling?
Your cloud governs and routes within its own walls and will favor its own agents. Onepane is independent — it builds no agents — and accounts for cost and business-output ROI across every platform, then routes and recovers across all of them.
See what your AI agents are really worth.
You already built them. Find out what they returned.
Or start with a read-only assessment — results in days, no integration.