AIMOCS Operator
An AI worker that runs one of your business’s workflows from start to finish — set up, proven, and run for you.
What's inside an operator.
Six parts. Three keep it contained: its own workspace, a memory of your accounts, and a short list of actions you approve. Three make it trustworthy: it thinks each step through, it stops at the limits you set, and it writes down everything it does.
- 01
Its own workspace
Each AI worker runs in its own separate, locked-down environment that holds your workflow and nothing else. Nothing is shared with other businesses.
- 02
A memory of your accounts
It remembers every customer, every past conversation, and every decision it made and why. It picks up where it left off, and the history is there whenever you or your accountant need it.
- 03
Only the actions you approve
It can do only what you signed off on — read your invoices, send an email, update a record, place a call. Anything else is off-limits by design.
- 04
It thinks each step through
It plans the work, adjusts when a reply doesn't fit the usual pattern, and decides whether to carry on, ask a person, or stop. Not a fixed script.
- 05
Limits and hand-offs
You set its limits before it starts. When something falls outside them, it stops and hands the case to a person with the full story. When it's unsure, it asks instead of guessing.
- 06
A record of everything
Every action is written down with the reason behind it, so you can review a week of work in minutes and see exactly why each step was taken.
Not a chatbot. Not a macro.
Most teams have tried both. Both break on the work that actually costs you money — anything that varies, needs to remember what happened last time, or takes several steps over several days.
- Starts work on its own
No — waits for questions
Only on a timer
Yes — when the job needs doing
- Remembers past contact
This conversation only
No
Yes — every account
- Copes when things vary
A little
Breaks on anything new
Adapts, or asks a person
- Works across your tools
Rarely
Yes — by clicking screens
Yes — the ones you approve
- Sees a job through over days
No
Only if scripted
Yes — it owns the job
- Record of what it did
Chat transcripts
Action logs
Every action and the reason
- When it gets stuck
"I don't understand"
Fails quietly
Hands it to a person
Three commitments, in writing.
We prove it on your data first, against a success bar we agree in writing. If it doesn't clear the bar, you don't go ahead.
We take the workflow over — your team stops managing it.
Proven on your data before you commit.
We run it, watch it, and fix it for as long as you keep it.
Notice, act, hand off.
It watches for the thing that starts the job — an invoice going overdue, a new inquiry, a quote with no reply. It checks what it knows about the customer, decides by your rules, acts through the tools you approved, and hands anything unusual to a person. Every step is written down with the reason.
Start with the work that slips most often.
- W/01
Accounts receivable follow-up
The accounts-receivable operator follows up on every overdue invoice on a steady schedule — so no balance goes unchased and no awkward call falls to the person who keeps putting it off.
- W/02
Client intake
The intake operator answers every new inquiry, checks it against your criteria, collects the information you need, and hands your team a complete summary — so no lead goes cold after hours.
- W/03
Quote & proposal follow-up
The follow-up operator checks in on every open quote or proposal on a steady schedule until it gets a decision — so no estimate expires in silence.
- W/04
Document chasing
The document operator chases every missing item on your checklist — a signature, an ID, a certificate, a form — so no file stalls waiting on a piece of paper.
- W/05
Scheduling & dispatch
The scheduling operator handles booking, rescheduling and dispatch — so the front office stops losing its day to calendar back-and-forth.
- More
Every job an AI worker can take over
One page per workflow — from processing invoices to answering the phone — with what it handles and when it hands off to your team.
Bring the workflow. We'll take it from there.
Proven on your data before you commit.