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Gatehouse is the control plane for organisations that need AI agents their security and compliance t
Gatehouse sits between an AI agent and the systems it works in. It checks each action against rules the team has signed, sends hard calls to a named approver, and saves actions, holds and decisions in a sealed audit record. It is for teams that want agents to do work such as paying invoices or sorting claims, while giving security, compliance and finance reviewers a way to approve and check what the agents do. Records, policy history and labelled examples can be exported in open formats.
Key features
- Checks each agent action against a signed policy before it runs.
- Routes held actions to a named approver with evidence.
- Saves actions, holds and decisions in a SHA-256-chained audit record.
- Exports the audit trail, policy history and labelled examples in open formats.
- Allows a blocked action to be overridden with two named approvers.
Use cases
- 01Hold uncertain claims files for a named claims handler.
- 02Match invoices and prepare ERP drafts under a spend limit.
- 03Escalate invoice payments when supplier bank details change.
- 04Route policy questions to a named support lead.
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