You built the agents. We prove they paid off.
Onepane turns every agent your teams already built into an app with a measured return, triggered from inside the work you already do. No rebuilding, any framework.
Your company runs hundreds of agents. Which one made money?
Most enterprises can't answer that. Onepane puts a measured return on every agent, turns each into an app anyone can run, and governs them all from one place.
- Producing measurable ROI
- 38
- Stalled in pilot
- 112
- Unknown / unattributed
- 97
One control plane across teams, tools and frameworks.
A dollar value attached to every agent you run.
Works with the agents and platforms you already have.
From scattered agents to proven returns.
The same agents, the same teams — moved from invisible cost to measurable return.
- Agents siloed across teams, tools and frameworks
- No one can prove a return
- An agent breaks production, and there's no undo
- Only admins can use them
Onepane
- Every agent governed in one place
- ROI measured per use case, shareable in one link
- Roll back any action on a live system, and root-cause why
- Each agent becomes an app anyone can run
A typical enterprise leaves ~$8M a year on the table.
The return is already sitting in the agents you built. Onepane helps you capture it.
| 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 |
Assumptions (illustrative large enterprise): ~150 agents under management; enterprise AI budget ~$10M/yr ($5M AI-operations + $4M agent pilots + $1M platform/tooling); total IT budget ~$50M with ~35% (~$17.5M) on legacy maintenance. Benchmark context: large enterprises plan $50–250M/yr on GenAI (KPMG).
Value pools Onepane helps capture, not guaranteed savings; validated per account.
Sources: MIT NANDA 2025 (The GenAI Divide); Gartner (40% of agentic AI projects canceled by 2027; Six Steps to Manage AI Agent Sprawl); McKinsey (Tech debt); Deloitte (AI agent orchestration); ISG / KPMG (enterprise AI spend).
Make every agent usable, safe, and provable.
For the agents your teams already built, on any framework. No rebuilding.
Trigger the right agent from inside any ticket, pipeline or workflow, and hand each one to a business owner as an editable, shareable app.
Tag @onepane in a Jira ticket and it runs the right agent.
When an agent acts on a live system, undo what it did — configuration, data, transactions, access — and reconstruct exactly why it acted.
An agent over-scaled a database? Roll it back in one click.
A measured return on every agent, per use case, in language the board accepts.
FinOps agent — ~$1.2M saved, shareable in one link.
One platform. Every department's agents.
Whatever your teams built, wherever it runs, Onepane manages it from one place.
Incident remediation
Onepane: govern, observe and roll back
Transaction-anomaly
Onepane: govern, audit and prove ROI
Onboarding
Onepane: govern access and actions
Contract review
Onepane: track, audit and govern
Ticket deflection
Onepane: observe and prove ROI
Spend & renewal
Onepane: govern and measure
Examples of agents Onepane manages across departments, not a product catalog.
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, and wrap each in an app from day one.
Unlock the deep controls
Move your highest-value agents onto Onepane to unlock the deep controls: roll back an agent's action, reconstruct why it acted, and contain its blast radius. And our forward-deployed engineers build your hardest agents with you.
Early, on purpose, in a category the analysts are defining now.
Why enterprises are betting on Onepane before the category has a name.
Recognized in Gartner research on the emerging Augmented GenAI (Sample Vendor).
In active enterprise proofs-of-concept across US and MENA accounts.
What XMPro proved on the plant floor (results like $16M/year saved in oil & gas), Onepane brings to the whole enterprise.
By 2028, the average Fortune 500 enterprise will run 150,000+ AI agents.
Agent sprawl is the next shadow IT. The platforms that govern, orchestrate and prove ROI on that fleet are being chosen now.
Source
Gartner — Six Steps to Manage AI Agent Sprawl.
Questions enterprises ask us.
What is agent ROI, and why can't most enterprises prove it?
Agent ROI is the measured return a specific AI agent delivers — the cost it saves or the risk it removes, per use case. Most enterprises can't prove it because their agents are scattered across teams, tools and frameworks with no shared measurement. Onepane meters the return on each agent and packages it as a shareable app.
What is an Agent Management Platform (AMP)?
An Agent Management Platform (AMP) is the layer that governs, orchestrates and observes an enterprise's entire fleet of AI agents from one place. It is an emerging category (named in Gartner research) for managing agent sprawl as enterprises scale from a handful of agents to thousands. Onepane is an enterprise AMP that also lets you trigger agents inside any workflow, roll back their actions, and prove ROI per agent.
Can you 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 exactly why it acted (behavioral root-cause analysis). With a kill-switch and blast-radius limits, this lets enterprises run agents on production safely.
What does it mean to govern AI agents across an enterprise?
Governing agents is having one place to see every agent, control what each is allowed to do, audit every action, and reverse an action when one goes wrong. Onepane provides that single control plane across every department.
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 for its deepest controls (rollback, RCA, blast-radius), and only for the agents you choose.
How is Onepane different from our current AI or automation vendor?
Onepane manages agents; most tools only help you build or catalog them. It makes the agents you already have usable inside any workflow, safe to run on live systems (rollback + RCA), and provable with a return per use case.
How fast can we start, and how secure is it?
Start with a read-only assessment that needs no integration and delivers a result in days. Enterprise security throughout: policy and access control, an immutable audit trail, and blast-radius limits with a kill-switch.
See what your agents are really worth.
You already built them. Find out what they return.
Or start with a read-only assessment. Results in days, no integration.