Forge Orbital

AI agents

Let the agent work. Surface the decisions that need attention.

Forge runs beside high-consequence agent workflows as an API, not another dashboard. Routine supported actions continue through the customer's existing process. Uncertain, mismatched, or policy-sensitive actions are flagged for the authority the customer already trusts. Every selected action retains a defensible basis: what evidence mattered, what rule applied, what uncertainty remained, and where human authority stayed.

Background accountability Exception-first review Enterprise API Customer authority
Why this leads

Accountability should run in the background, not become another operating console.

Where Forge sits in an agent workflow.

Observe The agent or orchestrator reports at selected checkpoints. Forge evaluates the supplied evidence, policy result, uncertainty, and authority boundary without replacing the workflow.
Clear or flag Forge returns a menu-bound disposition. Routine supported cases continue; abstentions and escalations are routed to the customer's named authority. Forge does not execute the action.
Execution control The customer's qualified, validated, exclusive protected boundary applies the customer's exact policy and controls forwarding. Forge itself does not authorize, forward, or execute the downstream action.
Learn When the customer explicitly supplies authorized outcomes, Forge compares prior confidence to results and measures whether the workflow is earning trust. No retention opt-in means no calibration write.

First agent workflows for enterprise buyers.

01

Approval agent

Prove why an agent approved, held, or escalated a finance, procurement, compliance, or vendor action.

02

Cyber response agent

Review selected response actions before execution, with the customer-owned protected boundary applying the final execution policy.

03

Customer or claims agent

Preserve the policy, evidence, uncertainty, and human-review boundary behind pay, deny, bind, refund, or escalate.

Illustrative proof trail: a high-consequence agent action.

Consider a billing-support agent that proposes a customer refund above the automatic-approval ceiling while the reported duplicate charge remains unconfirmed. The useful output is not another activity log. It is a defensible explanation of why the action moved to human review.

Evidence

What was known

The amount, the customer report, the ledger state, and the current approval ceiling.

Result

Why it escalated

The amount exceeded the auto-approve ceiling and the underlying claim was not yet confirmed.

Authority

Who decides next

The customer's authorized billing reviewer approves, denies, or requests more evidence. Forge does not issue the refund.

Bring one agent action before the rollout gets broad.

Forge is live, tested, and ready for a scoped enterprise integration. It starts with one agent, one action menu, and synthetic, sanitized, or approved workflow evidence. The buyer can inspect the proof shape and calibration path before any protected action is in scope.