AI agents that do the work, with a person in charge.
An AI agent fits when a workflow needs judgement over unstructured information, such as emails, documents and requests; fixed workflows are better served by ordinary automation. The agent reads, decides and acts in your systems, and anything that writes or pays waits for a person's approval.
- Reads the overdue invoices in the ledger
- Drafts a reminder per client, in their language
- Waits for approval in Slack before sending
- Logs every step; any run can be undone
What changes for your team
Hours back every week
The agent does the reading, sorting and drafting your team repeats every day.
Nothing happens unseen
You see who approved what, and when, for every action the agent took.
Your tools, not a new one
The agent works inside the systems your team already uses, through their own permissions.
Our own product in this area
TwinCortex: an AI that sees your screen and acts, within limits.
A native Mac app with 18 tools for reading apps and acting in them. Irreversible clicks need a stated intent first.
See it running
We have built this before
So your version starts from working patterns, not from zero.
- A workflow builder with dozens of step types and approvals in chat toolsBuilt in an enterprise team
- A ten-agent pipeline that generates complete product demosBuilt in an enterprise team
- An autonomous multi-agent framework that writes, tests and reverts its own codeOur own work
How the project runs
START
Pick one workflow
We map it with the people who do it today.
SCOPE
Agree the test set
Real past cases the agent must get right before it goes live.
BUILD
Build with approvals
Connected to your tools, every write gated.
LIVE
Run and measure
Alerts when quality drops, and we tune it.
What it costs
The price is fixed before work starts, and you pay only for what you approved.