An org chart for agents
Each agent has a level of autonomy and a manager; work it cannot finish goes up the chart.
Tickets arrive from every application we run. AI agents sit on an org chart, draft replies, and hand work up when it needs more than they are allowed to do. A person reads every draft before it goes out, and every agent's key is limited to the exact queries it may run.
The useful version of AI in a service business is not a chatbot talking to customers unsupervised. It is a drafting assistant that reads the ticket, the history and the knowledge base, writes the reply, and waits for a person to send it, and that can be trusted with a key because the key cannot do anything else.
That is what we run. It is also the pattern behind automation that reads a purchase order or a supplier invoice: the machine proposes, a person disposes, and the audit trail shows both.
What we built
Each agent has a level of autonomy and a manager; work it cannot finish goes up the chart.
New agents start paused and drafting only; a person reviews and sends.
Generated and hashed in the browser, exchanged for short-lived tokens that allow only the listed queries.
Per priority, visible on every ticket, reported over time.
The application error feed turns real failures into work with context attached.
How often a draft was sent unchanged, edited, or discarded.
Why it matters to you
Yes, with the same shape: the agent reads the email, looks up the order and tracking, drafts the reply, and your CSR sends it. Over time the obvious ones can go out on their own, by your decision, not ours.
By never giving it the ability. Its token can run only the queries on its list, it cannot send without a person, and everything it does is logged against its key.
Not as a package; it runs one desk today. It is the proven parts we build your automation from, which is faster and safer than starting from nothing.
Thirty minutes, no obligation. We reply within one business day.