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· intervention · agents & autonomous systems · tointelligence

AI Agents: govern rights of action
before you delegate.

What you automated, you delegated. The question is: with what governance, and how far? What your agents can do, which systems they access, when they stop and who answers for their actions — these decisions must be made before deployment, not after the first incident.

· the problem

An AI agent is not a tool. It is a delegation of action. Organisations deploy AI agents capable of acting: accessing systems, sending communications, triggering validations, orchestrating workflows, modifying data. This is no longer a chatbot answering — it is a system doing.

In most cases, nobody has explicitly defined what the agent can do, how far it can go, when it must stop, and who answers for its actions. Any delegation of action requires defined rights, limits, supervision and explicit responsibility. Without this, you have automated the risk, not only the task.

Rights of action architecture

AI agent governance rests on five decisions every organisation must take explicitly — not by default.

Access

Which systems can the agent consult? Which data can it read? Which interfaces can it call?

Actions

Which actions can it trigger? Which actions require prior human validation?

Limits

Which thresholds trigger automatic escalation? Which actions are unconditionally prohibited?

Logging

Which actions are logged? Who can consult logs? How is an action audited after the fact?

Stop

Who can stop the agent? Within what timeframe? How do you regain control in case of error?

Specific risks

Prompt injection — an agent can be manipulated by malicious data injected into its context to trigger unauthorised actions.

Privilege escalation — an agent can obtain access beyond its initial perimeter if rights are not precisely defined.

Fictitious responsibility — if an agent acts without exhaustive logs, proving what happened becomes impossible.

BYOA — employees connecting their personal AI agents to organisational systems create invisible exposures.

Certain AI agents may fall within the scope of high-risk systems depending on their usage and sector. Effective human supervision becomes a governance obligation — not merely a best practice.

· deliverables
Govern your AI agents
before they govern
for you.
· tointelligence

Govern your AI agents
before they govern
for you.

An initial conversation to map your agent cases and assess priority risk zones.

let's talk