Live in two weeks. Then it keeps itself working.
The enterprise tools in this category take three to four months to deploy and a dedicated person to maintain. That is the main reason smaller companies never adopt them. We built this the other way around.
Three steps, about two weeks
We map your product
Our builder walks your interface and produces a first draft of the workflows automatically. You give us a test login; we do not need engineering time from your team.
You approve what goes live
You see every workflow before it is switched on, and you decide which ones the assistant is allowed to complete versus only explain. Nothing goes live that you have not signed off.
One script tag
That is the whole install. No SDK, no rebuild, no release train to wait for.
Weekly health checks
Every covered workflow is re-run automatically on a schedule. We find out it broke before your customers do.
Self-healing
When you ship a UI change and a button moves, it re-identifies the element instead of silently failing. Brittleness is the thing that kills tools like this, so it is the thing we spend most of our engineering on.
We maintain it
Not your team. Adding workflows and fixing breakage is included in the monthly price, not a professional-services line item.
We would rather not hold your customers’ conversations.
By default we run in metrics-only mode: we keep counts, completion rates, latency and which workflow was used. The conversation content itself goes to your endpoint, not into our database. Our first customer runs this way in production today.
It runs in the browser inside your product. It never takes control of anyone’s computer, and it asks before any action that changes data.
Questions people actually ask
How is this different from a support chatbot?
A chatbot answers the question. This completes the task. The customer does not have to go and execute anything after reading a reply — the work happens on the page, with them, and they can see what changed.
Could our engineers just build this?
The first version, yes — probably in a couple of weeks. The problem is the second year: your interface changes and the automation breaks quietly. The weekly re-testing and self-healing is most of what you are actually paying for, and it never stops needing attention.
Is this an AI tool?
There is AI behind it, yes. But that is not the interesting part and it is not what makes it work — every vendor in this category has the same models available to them. What makes it work is the mapped workflows, the approval rules you set, and the weekly upkeep. We keep the AI in the engine room rather than on the label, because you are buying an outcome, not a model.
What if it does something wrong?
It only acts on workflows you approved, and it asks before any step that changes data. Anything outside that scope it hands to a person rather than guessing.
How long until we see anything?
About two weeks to live. Pilots run 60 days and end with a measured report on your own numbers.
What if it does not work for us?
The pilot is 60 days. If the number is not there, you stop — you have spent two months and one invoice, not a platform migration.
See it running on your product.
Fifteen minutes. We’ll map one of your real workflows live so you can judge it on your own product, not a demo.
Straight to a calendar. No form, no qualification call.