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AI & Web3

AI agents and wallets: design permission limits before autonomy

Separate recommendations, transaction preparation and signing so software cannot spend beyond its actual mandate.

CoinEditorial3 min read
Explainer · Educational content
Editorial illustration: Concept diagram for AI agents and wallets: design permission limits before autonomy: PROPOSE, REVIEW, AUTHORISE
Original CoinEditorial concept diagram; educational illustration, not live market data.
THE TAKEAWAY

An agent’s ability to propose an action should not automatically include authority to execute it.

Agency is a permission decision

OWASP describes excessive agency as a problem involving excessive functionality, permissions or autonomy. An AI agent connected to financial tools makes those boundaries especially important. A conversational goal such as “optimise operations” is not a precise spending policy. The system needs enforceable limits on which actions are available and who can approve them.

Three separate stages

A research agent can identify an option. A preparation component can construct a proposed action. A signing process can authorise a transaction only after policy checks. These stages need not share the same credentials. Separating them makes it easier to inspect a destination, asset and amount before anything irreversible occurs, and to stop when the proposal does not match the user’s mandate.

A fictional operating policy

Consider a demonstration agent allowed to prepare payments only to a preapproved test recipient, with a small test budget and a required human confirmation. Attempts to change the recipient or exceed the budget should fail independently of the model’s explanation. This is a design example, not an implemented product or an endorsement of any custody arrangement. Real deployments require their own security review.

Test failure and recovery

Ask what happens when a tool times out, a quote expires, an approval arrives twice or the agent restarts. Use unique operation identifiers and reconcile results before retrying. Log decisions without exposing secrets. A stop control must actually disable consequential actions, not just hide a button. Autonomy becomes more credible when its limits are observable and testable, rather than described only in a policy paragraph.

Sources & further reading

Sources checked 7 October 2026. Source-linked explanatory content; not personalised investment advice. Found an error? Request a correction.

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