AI operators
Not a chat window. An operator has a role, a scope, a schedule and approval rules — it watches its patch, reasons over the Mind, and does the work it is allowed to do.
An operator is defined the way a job is defined: what it is responsible for, what it is allowed to touch, when it runs, what it must escalate, and who signs off on the actions that matter. That definition is written before anything goes live, and you approve it.
Because every operator reads and writes the same Mind, they hand work to each other instead of duplicating it. The support operator's exchange with a customer becomes context the operations operator can use, without anyone re-entering it.
One honest note on maturity. Analify, our ecommerce operator, is live today and you can use it now. The finance, sales, support, people and executive operators described below are built for your systems during the engagement — they are a shape we know how to build, not a shelf product you switch on.
- Each operator is scoped in writing before it runs.
- High-impact actions stop and wait for a named human.
- Every action it takes is logged with its source, reason and approver.
- You can pause any operator, and you own the ones we build for you.
The things that leave the engagement with you.
Each item below is a deliverable, not an activity — something you can read, run or hand to someone else. You own all of it, including the operators built for you.
Operator charter
The written definition: responsibility, scope, schedule, escalation path and approval rules — agreed before the operator is switched on.
The operator itself
Built against your systems and your Mind, doing the specific job you named, in Egyptian Arabic or English as the work requires.
Approval gates
The list of actions that never run unattended, and the named humans who clear them.
Action log
Every action with what it did, which data it read, why it decided that, and who approved it.
Handover interfaces
How this operator passes work to the next one, so the second operator you deploy is cheaper than the first.
Tuning loop
The process for correcting it: what you flag, how it changes, and how we confirm the change held.
Delivered in phases, each one reviewed and signed off before the next begins.
The full engagement runs Understand → Connect → Build the Mind → Deploy operators → Operate → Learn. These are the phases this service does its work in. Any phase that hasn't started yet is fully refundable.
Build the Mind
The operator is only as good as the context under it, so the Mind comes first.
Deploy operators
Highest-value operator first, inside its charter and its approval gates.
Operate
We run and tune it in production rather than handing you a switch and leaving.
Learn
Outcomes and corrections compound into the Mind, so the next operator starts further ahead.
It is more useful to know when this is the wrong buy.
- There is a recurring job with a clear trigger, a clear output, and a person doing it by hand today.
- You can name who should approve the risky version of that job.
- The data the job depends on exists in a system, not only in someone's judgement.
- The work needs judgement that has never been written down and nobody is willing to write down.
- You want full autonomy on day one. We gate high-impact actions behind a human, and we won't ship it otherwise.
- Analify (ecommerce) is live today. Every other operator is built for your systems during the engagement.
- High-impact actions require human approval.
- Every operator action is logged with source, reason and approver.
- You own the operators we build for you, and the data they run on.
Talk through AI operators on your systems.
30 minutes, no deck. We map your systems live and tell you what we'd do first — including when the honest answer is that you don't need this yet.