How It Works
An agent that works
inside the systems you run.
We connect your systems, configure the agent, and put it on a schedule. You watch it work and read what it did.
The Flow
From work arriving to work done, on the record.
Two pillars run this path together: an AI workforce that does the work, and the infrastructure that gives it somewhere safe to do it. Every step is tagged below, so you can see which pillar is carrying which beat.
- 01
Work arrives
An email lands, a schedule fires, or you start a chat with the agent yourself.
- 02AI Workforce
The console starts a task
The agent you configured for this job, with the instructions and tool grants it was given.
- 03Infrastructure
It works on its own computer
An isolated computer with a browser and a desktop — ours, or yours when the data must stay put.
- 04AI Workforce
It acts in your systems
Reads the mailbox, updates the yard system, files the claim — through the connectors it was granted.
- 05
You watch and steer
Its screen is live while it works. Correct it in the chat, or take the keyboard yourself.
- 06
The work is done, and written down
A transcript of every action it took, kept for the term your contract sets.
Throughput
Work in. Work done.
That path is not a queue of one. Your agents run at the same time, each on its own computer — the trailer check and the invoice sweep do not wait for each other.
Connect the systems
We connect the mailbox, the fleet software, the EHR — whatever this job touches.
Configure the agent
Instructions, tool grants, and guardrails, written in the builder. No code.
It runs
Attended from a chat, or unattended on a schedule — on its own computer either way.
Watch, steer, review
Watch its screen while it works and correct it mid-task, then read the transcript of every action.
Getting Started
Get set up in four steps.
Setup is how you join; the flow above is what it does. There is nothing to install and nothing for your team to build — the first three steps are ours, and in a vertical we already serve they take about a day and a half.
We map your systems
One assessment session with the people who do the work today.
We sit with your team and walk the actual job: which software it touches, where the data lives, what gets typed twice, and what goes wrong when someone is on holiday. The output is a short list of candidate agents ranked by how much time each one gives back. Most businesses already know which job this should be. The assessment is mostly about the systems behind it — how we reach them, and what an agent is allowed to do once it is in there.
We connect the systems
Existing connectors are ready. A new system takes longer, and we say so.
Connectors are authenticated access to software you already run — business email, fleet management and yard operations, EHR, scheduling and billing, CRM, document stores. Where a system already has a connector, wiring your tenant to it is a day or two. Where it does not, we build one, and we tell you the timeline before you sign. Credentials go into the credential store and are never shown back to anyone, including us. Each agent is granted only the specific tools it needs, not the whole system.
We author the first agent
Instructions, tool grants, guardrails, schedule.
An agent is a configuration, not a prompt. We write its instructions with you in the two-pane builder — the creator chat on the left turning what you said into instructions, a live test chat on the right so you can try it the same minute. Then the guardrails: which actions it may take on its own, which ones it must ask about first, and what it must never do. Finally the schedule, if this job runs unattended — the cadence, the gates that hold a task back, and the rules that skip it when there is nothing to do.
Your team takes it over
One or two sessions. Then you watch the first week of tasks.
We train the people who will live with the agent: how to start a task, how to read a transcript, how to watch the live view and take the keyboard when it heads somewhere you did not intend, and how to change the instructions when the process changes. After that the relationship is ongoing rather than finished. External APIs change and we keep the connectors working; new work turns into new agents over the contract; and every quarter we review what your team actually used and what to automate next.
Architecture
Three layers. One flow.
The console — the application your team logs into at app.aptiveai.io. Your agent roster, every task and its transcript, your schedules, and the list of connected systems. We host it and we run it; there is nothing for you to install.
Computers — the isolated computer each agent works on, with a real browser and a real desktop. Ours by default; on your own hardware when the data is not allowed to leave your infrastructure. One agent per computer, so nothing an agent does can reach another one’s work.
Connectors — authenticated access into the software you already run. Each agent is granted specific tools inside a connected system rather than the whole system, and every call it makes lands in the transcript.
Ready to see it on your systems?
Bring the job your team keeps meaning to automate. We will show you what an agent doing it actually looks like.