Seven named agents, one per department, each holding the context of one shared record and each constrained by the permissions of whoever it acts for. They finish tasks rather than describe them, they stop at thresholds you set, and every action is written down in language a person can read.
Vagueness is the standard defence in AI marketing, so here is the opposite. Every agent, what wakes it, two things it may do and one thing it may not. Run one and not the others, because adopting any of them does not commit you to the rest.
An enquiry arrives, or an opportunity goes quiet
May not. Change a price or a term without the owner
An agreement is signed
May not. Commit a delivery date the schedule cannot hold
The last business day of the period
May not. Post an adjusting entry without a named approver
An invoice passes a date you set
May not. Escalate past the threshold you set without a person
A payment lands on an introduced account
May not. Pay a partner. It prepares, and a person releases
An application arrives, or a role is opened
May not. Reject a candidate on its own judgement
You describe a rule in plain English
May not. Switch anything live. That is always a person
Weekly figures are illustrative and describe one example business. What an agent may and may not do is configuration, and it is yours.
Put a question to the whole business at once. What slipped this week, what the partner channel actually netted, who has nothing booked on Thursday. One brain reading across every department, instead of four exports and a pivot table.
Hand an agent the job rather than asking for the answer. It opens the project, drafts the statement, screens the applicant, books the meeting, and writes every step back to the record under your permissions.
Describe a rule the way you would explain it to somebody on their first day. It becomes a trigger and a set of actions, dry run against last period, showing you what would have fired before anything goes live.
The permission check and the threshold are the two places a run can stop. Where they sit is yours to configure, per agent and per value.
Most of the disappointment with AI at work comes from a gap between what was implied and what shipped. So here is the boundary, drawn on purpose.
A chat window with your database behind it
Asking a chatbot about overdue invoices returns a list. The Collections Agent reads the payment history, sends the reminder, logs the reply and books the call. The difference is whether the task is finished.
Autonomous, and you hope for the best
Money moving, data being deleted, a hiring decision, anything reaching a customer above a value you set. The agent prepares and proposes. A named person releases. That boundary is configuration rather than a promise.
One general assistant that does everything
Seven agents with defined jobs, each scoped to a department and a permission set. That constraint is exactly why they are reliable, and why you can reason about what one will do before switching it on.
Learning from your business to serve somebody else's
Your model runs in your environment on the aKillion Hypervisor. There is no shared training pool, and no version of this where your customer list improves a product a competitor is buying.
Choose the department where the administration hurts most. We will run that agent against your real records on the call, including the part where it stops and asks for a person.
Bring one department and a real week of work. In about thirty minutes we put it through Kastor: an enquiry arriving, moving through your stages, becoming a signed agreement, becoming an invoice, and landing in margin. The same record the whole way, with agents doing the parts nobody should be doing by hand.
Five fields and a consent box. We reply within one business day.
A demo request usually buys you a discovery call, then a qualification call, then a demo. This is one call, and the useful part of it happens in the first ten minutes.
Two or three times to choose from, and one question back so the call starts in the right place rather than starting at the beginning.
Not a slide deck. One department, one real week of work, and the loop running against it while you watch. Bring whoever argues with the numbers.
A written view of every point where your current setup asks a person to carry something between two systems. That is yours whether you go further or not.
Fair enough. Read the lead to cash page instead. It makes the whole case in about six minutes and asks nothing of you. When it stops being theoretical, the form is still here.
