Control layer for AI agents

Set limits before AI agents act.

AI agents are starting to click, buy, send, write, deploy and make decisions. Leashware helps teams define what agents can do, when they need approval, and how every action gets logged.

Built for teams using AI agents in operations, support, sales, software and internal workflows.

Autonomy needs guardrails.

As agents move from answering to acting, companies need a practical way to manage permissions, approval flows, spending limits and human override.

01

Permission boundaries

Define what each agent can access, change, send, buy or deploy before it touches real systems.

02

Human approval

Route sensitive actions to a person when the risk, cost or impact is above your threshold.

03

Audit logs

Keep a clear record of what the agent did, why it did it, and who approved the action.

Not another agent. The leash around them.

Leashware is for teams that want to use AI agents without giving them unlimited autonomy.

Spending limits

Set maximum budgets and require approval before purchases, credits or paid API actions.

Action policies

Create simple rules for what agents can do by role, workflow, tool or risk level.

Kill switches

Pause agents quickly when something looks wrong, unexpected or out of scope.

Join the early waitlist.

We’re mapping the control layer companies will need around AI agents. Leave your email if you want early access or want to talk about agent safety, permissions and approvals.