Your AI agents, on a leash you control.
Small software and IT service agencies run AI agents against their own company rules, context, tools, memory and spending limits. The availability page shows every capability that is open and every one that is still waiting.
What you are actually paying for
Plenty of software can give you an agent that drafts an email or prepares an invoice. That part is not hard, and it is not what this product sells.
What it sells is a guarantee: an agent never holds a working handle to anything that changes the world. It cannot send the email itself, issue the invoice itself, or publish the post itself. It writes a proposal — a plain-English sentence describing exactly what would happen, to whom, and what it would cost. A fixed set of checks, the same checks every time, then decides whether that proposal goes through, waits for a person, or gets refused outright. And every one of those decisions is recorded against the exact version of the agent's instructions and the exact pieces of your own company knowledge that produced it — so “why did it do that” always has a real answer, not a shrug.
How it works
1. Give it your rules
Your business facts, your voice, your spending limits and your quiet hours — set once as structured settings, never as a wall of prompt text a stranger could talk an agent out of.
2. It reports what it found
An available reporting workflow prepares an internal report from your company knowledge. It does not send, publish or change anything outside ZenOS.
3. You can see what is ready
The availability page is sourced from the same readiness records the product checks, so unavailable features stay clearly marked as waiting.
Built carefully
Every capability appears on the availability page only when its readiness record says it is built. That record also explains what is still waiting and why.