AI Agent Controls
Set boundaries for access, actions, spending, monitoring and recovery when something goes wrong.
Make authority and accountability explicit
An agent control matrix, approval and escalation rules, monitoring requirements and a recovery outline.
What we examine
- Who owns each agent and authorises changes to its scope.
- What it may read, draft, modify, send or spend.
- Which actions need approval and what evidence the reviewer sees.
- How actions are logged, errors detected and operations stopped.
What we need from you
Share an agent inventory, permission descriptions, system connections, existing policies and sample action logs. We review the design and supplied evidence; a policy document is not proof that a permission boundary is technically enforced.
How the engagement works
- Agree one workflow or bounded set of agents, the questions and the fee.
- Review supplied documents and representative operating evidence.
- Deliver written findings, practical recommendations and open questions.
- Define validation steps for your team or vendor before changes enter daily use.
Related operational questions
Why Is Our AI Agent Making Mistakes?
Repeated mistakes need to be traced to the task, source information, tools and approval rules before changing the model.
AI Agent Permissions and Human Approval
An agent should only have the access and authority required for its assigned workflow, with approval boundaries that can actually be enforced.
What Happens When an AI Agent Fails?
A useful recovery plan identifies who can stop an agent, how unfinished work is handled and how people resume the process safely.
Tell us where AI is getting stuck
Describe the workflow, what you expected and what is happening instead. We will clarify the scope and information needed for a review.
Discuss your AI workflowQuestions and answers
Is this a cybersecurity audit?
No. This is an operational control review, not penetration testing, compliance certification or a guarantee of system security.
Can an agent operate without human approval?
That depends on the task and consequences. We help define bounded actions, approval triggers and exception routes; high-impact or uncertain actions need an appropriate human decision point.