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Our starting point

An agent should extend what a team can do without creating a new class of risk. That means the limits are designed in before the agent goes anywhere near production, rather than bolted on after an incident.


Agents act inside a defined boundary

Each agent has an explicit set of actions it may perform and systems it may touch. It cannot invent a new capability in the middle of a conversation, and it cannot reach a record outside its scope.


It confirms before it commits

Before anything is written, the agent reads the request back and waits. In procurement it repeats the item, quantity, project and dates line by line. It also checks the request against what is already open, so the same item raised twice in one day is flagged rather than ordered twice.


It asks instead of guessing

When a request is ambiguous the agent stops and asks. A vague description returns the matching options rather than a guess, a quantity that does not add up is questioned, and anything it cannot match with confidence is handed to a person to decide.


Untrusted content is data, not instructions

Our agents read documents, messages and web pages that we did not write. Text arriving from those sources is treated as content to process, never as commands to follow. An instruction hidden inside a scanned contract or an inbound message does not become an agent action.


A person stays in the loop where it matters

High impact actions route to an approver. Requisitions move into your approval rounds, escalations reach the right role, and the agent hands over with the full context rather than dropping the thread.


Your data is not training data

We do not train models on your content, and the providers behind our agents do not retain it. Sensitive fields are protected during processing. The full picture is on our Trust Center page.

Want to see the guardrails on a real workflow?

We will walk you through a live agent, the boundary it works inside, and what happens when it is unsure.

Talk to an Expert