Check before AI acts.
Define what your AI agent may do, what needs approval and what should stop. Forge checks the proposed action against those rules.
Forge is ready for your business. Independent businesses. Mid-market firms. Global enterprises. Start with the work you want checked—not the technical vocabulary.
Define what your AI agent may do, what needs approval and what should stop. Forge checks the proposed action against those rules.
Compare a model or agent version against agreed tests. See what changed before relying on it in your business.
Explore model choices that could cost less, then test whether they still meet the requirements for the job.
Scope the capability around the work. The customer keeps authority over execution and changes.
An independent office. A regional business. A global enterprise. The industry and headcount change. Your responsibility for what AI does doesn’t.
An agency, regional business or independent office
A bank, hedge fund or other regulated institution
Illustrative workflows, not customer deployments. Forge checks the evidence and rules provided to it; it does not establish that every source is true.
Start with the AI action you would need to explain if it went wrong. You do not need to be a large company to need accountability.
ILLUSTRATIVE WORKFLOWS · NOT CUSTOMER CLAIMSAn AI assistant proposes a customer message or a change to a claims workflow. Your rules determine whether it can proceed, needs review or must stop, with a record of the checked decision.
An AI assistant prepares to send sensitive client information or update a client record. Check the action against your firm’s rules before it proceeds.
You keep the client relationship and the build. Forge Orbital adds governance and decision evidence to the workflow you deliver.
If an AI action can affect a customer, money, access or a business record, start there. Talk with us about the rules and evidence that workflow needs.
Insurance and financial services. Professional services and consulting. Retail, manufacturing and critical infrastructure. Wherever AI touches consequential work, let’s discuss the fit.
Tell us what your business does ↗Forge Orbital is the accountability layer for AI agents. Governance is where it starts: before a connected AI agent takes an action, Forge checks it against your rules and returns a result—allow, hold or block. It keeps a proof trail showing what was checked, why the result followed and where approval was required. Your system enforces the result; your people retain authority.
Keep ChatGPT, Claude, Gemini and your own systems. Connect Forge to check the work against your rules and route exceptions to the people and tools you already use.
From client emails to bank model changes and hedge-fund workflows. The depth of the checks depends on the workflow and how we integrate.
Tested on NVIDIA hardware.
Customer-hosted, on-premises or in your private cloud. Forge does not train product models on your data or learn across customers.
No exception flagged means none was found by the checks that ran—not that everything is safe. Connection and check failures need their own escalation path.
AllowThe checked action meets your rules.
HoldPause for the review your workflow requires.
BlockStop an action that fails the rules.
A second AI opinion can help, but it is not proof of what happened. When a customer, insurer, auditor or your own team asks why an action cleared, you need the evidence and rules behind it.
Keep the inputs, rules, result and approval trail for the checked action. Your reviewer can see what supported the decision and what remained uncertain.
With the saved inputs and the same Forge version and settings, re-run the check to see whether it produces the same result. This is not a promise that an external AI will repeat its answer.
An outside reviewer can check whether the record was altered, rather than relying only on the AI provider’s own account. The technical path explains how the verification is set up.
Integrity and replay do not prove that the original information was true or that a decision was correct. They give a reviewer a basis to examine it.
How independent verification and replay differ →You don’t need to know how to integrate Forge before you contact us. Tell us where AI helps today—and where you want more control.
We talk through your tools, who uses them and the result you want. You don’t need to pick a Forge module first.
We work with you, your IT provider or your technical team on access, hosting, review rules and a clear scope.
Test normal actions, missing approvals and failures. Agree how your people review exceptions and who supports the setup.
You don’t need an engineering team to start the conversation. Connecting Forge needs someone who can authorize and configure your systems. That can be your existing IT provider or implementation partner; we’ll identify the work with them.
Forge Orbital is designed for customer-hosted delivery in on-premises and private-cloud environments. We agree the system requirements and access with whoever manages your infrastructure. If you use an external AI service, its data path remains separate.
Forge connects to the AI workflows you choose. The connection depends on your software’s APIs, permissions and available controls. It does not automatically monitor every chat, and a check can stop an action only where your connected system enforces the result.
You can contact us now. Setup timing and a proposal follow a look at your tools, hosting and the work involved. We agree the scope, responsibilities and price before implementation; there is no need to commit just to ask about fit.
We integrate Forge with your systems under a fixed statement of work, with an acceptance test agreed up front.
Scope the workflow, deployment and support with your team. Design partners keep preferred terms. Pricing follows the agreed scope.
Tell us which tools you use, what work they do and what you want checked or improved. You don’t need a technical brief, or to know which capability to choose.