Permissions
Define which tools, systems and actions each agent can access.
Agentic AI needs control
Control layer for AI agents.
AI agents are starting to click, buy, send, deploy and make decisions. Leashware helps teams define what their agents can do, what they cannot do, when they need human approval, and how every action gets logged.
Built for teams exploring agentic AI, automation and autonomous workflows.
Agent action pending
Requested action
Send customer refund
Amount: $480 · Tool: Billing · Risk: Medium
Permission
Billing access allowed
Limit
Refund > $250 requires approval
Audit
Action logged before execution
The problem
AI agents are moving from answers to actions.
The first wave of AI helped people write, summarize and search. The next wave will act.
Agents will send emails, update systems, trigger workflows, make purchases, deploy code, access customer data and operate across business tools.
That creates a new problem:
autonomy without control.
The more agents can do, the more companies need boundaries.
The category
What is Leashware?
Leashware is a control layer for AI agents: the permissions, limits, approvals, logs and safety rules that define how autonomous systems are allowed to operate inside a company.
Not this
Another chatbot. Another prompt tool. Another automation wrapper.
This
A governance layer for agentic work.
Limits
Set boundaries around spending, data access, external communication and execution.
Approvals
Require human review before sensitive or irreversible actions.
Audit Logs
Track what agents did, when they did it, and why.
Human Override
Pause, stop or redirect agents before small errors become business risks.
Why now?
Autonomy will scale. So will the need for control.
AI agents are becoming capable enough to operate across real workflows. But most companies are not ready to let autonomous systems act without supervision.
As agents gain more access, the control layer around them becomes as important as the agents themselves.
Use cases
Where Leashware matters
Any workflow where an AI agent can act, change data, contact people or trigger business processes.
Sales agents
Prevent unauthorized offers, messages or CRM changes.
Support agents
Control refunds, escalations, customer data access and external replies.
Operations agents
Limit workflow triggers, vendor actions, internal changes and approvals.
Finance agents
Set spending limits, payment approvals and transaction logging.
Developer agents
Control deployments, code changes, repository access and production actions.
Internal automation
Define what AI can do across email, Slack, Notion, CRMs, ERPs and ticketing systems.
The vision
Every AI agent will need a leash.
Companies will not adopt autonomous agents at scale without trust. Trust does not come from giving agents unlimited freedom.
It comes from clear permissions, visible actions, human approval and the ability to stop execution when needed.
Set limits before agents act.
Early access
Join the early access list
We are exploring the future of agent control, agent governance and autonomous workflow safety. Join the waitlist to follow the category and get early access to Leashware updates.
Prefer email? Write to hello@leashware.com
FAQ
Simple answers
What is Leashware?
Leashware is a control layer for AI agents: permissions, limits, approval flows, audit logs and human override.
Is this a product?
Leashware is currently an early category and product exploration around agent control and governance.
Who is this for?
Teams using or exploring AI agents in operations, sales, support, software, finance or internal automation.
Why not just trust the agent?
Because business systems require accountability. The more an agent can do, the more important it becomes to define what it is allowed to do.