Our Products · Security & Insurance
Run AI agents in production, safely.
What it can do
Every action an agent takes, under your own rules.
DECIDE
Judge every action one at a time
A payment, a record changed or deleted, a permission granted, an order placed, software run. Each request is judged on what it touches, how large it is, and whether it can be undone — then let through, sent to a person, or stopped.
RULES
Use the approval limits you already have
The thresholds finance and security already work to become the rules the agent runs under. There is no new approval culture to invent, and no way for the agent to route around the one you have.
PER AGENT
Give each agent its own ceiling
Authority is set per agent and per workflow, not once for the whole company, so a scheduling agent and one that moves money do not share a blast radius.
ACCOUNT
Produce what happened, by workflow or by month
Who asked for what, what went through, who approved it, what came back, what was refused — retrievable afterwards, rather than assembled from screenshots when somebody asks.
VOLUME
See how much your agents are actually doing
Executions, refusals and approvals counted per workflow, so you can tell a quiet rollout from a busy one, and see where people are being asked to approve too much.
DEPLOY
Run it inside your own environment
Your cloud account or your own hardware. Your orders, counterparties and customer records do not leave to make any of this work.
Actions covered · examples
- Payments and transfers
- Records created, changed, or deleted
- Permissions granted and revoked
These are examples. What an agent is allowed to do is set against your own systems, so the list is drawn up with you.
Architecture
One place every action passes through.
Your models, your tools, your systems — nothing in your stack moves. The agent asks; the gateway allows it, refuses it, or brings a person in, and what happened is kept where nobody can quietly tidy it up.
Demo
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