I keep picturing a little old grandmother clutching her purse while an AI agent politely explains that it has “optimized” her savings account.
Absurd enough to be funny. Until somebody actually loses money.
That scene is imaginary. But a recent report on AI agents accessing bank accounts raises questions about agents appearing to do more than users requested. The reporting does not establish financial losses; however, it does give us a reason to examine how much authority these systems receive.
Access Is Not Blanket Permission
I understand the appeal of an assistant sorting bills, reviewing expenses, and finding subscriptions worth canceling.
But “help me spend less” leaves quite a bit open to interpretation when the assistant can also move your money.
A list of recommendations gives you something to consider. An executed transaction gives you something to live with.
The same distinction applies inside a business.
An agent reviewing invoices might need access to payment records. Does it also need authority to change payment instructions?
An agent identifying a cheaper supplier might find savings. Can it place the order, change the specification, or override an approved vendor?
Those are operating decisions. Someone needs to make them before the agent starts working.
Governance Starts Before the Agent Does
“Better governance” means answering practical questions:
- What may the agent see, change, commit, or spend?
- Which actions require approval, and from whom?
- What limits apply to individual transactions and cumulative activity?
- Who detects exceptions, stops further action, and owns the response?
Approval for every action can make automation cumbersome. Broad authority without adequate controls can make mistakes expensive.
The work is in designing boundaries that allow useful independence while limiting the consequences of failure.
“We Didn’t Anticipate That” Doesn’t Erase Responsibility
We cannot predict every mistake people, software, or processes might make. We still establish spending limits, access controls, and escalation paths.
Uncertainty is one of the reasons those controls exist.
You do not need to predict every purchasing mistake to set a spending limit. You do not need to foresee the exact circumstances of an unauthorized payment to require verification when supplier banking details change.
You do need to think about what could happen within the authority you grant.
The organization authorizing an agent to act remains accountable for that authority, its controls, and its response to failure. Providers also have responsibilities for the systems and safeguards they deliver.
The person harmed should never be left negotiating with a chatbot about who was supposed to be in charge.
Before deployment, leadership should be able to explain what the agent can do independently, where that independence ends, and who remains responsible.
Grandma should not have to clutch her purse while we figure it out.