Map the routine
We sit with your team and list the jobs that repeat every day or every week — the inbox, the reports, the data entry, the follow-ups. Each one is ranked by hours saved and risk, so the agent takes on the right work first.
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Production AI
that runs
while you sleep.
The brief
We find the jobs your team repeats every day, hand them to an AI agent, and deploy it to run on schedule — logging every action and flagging anything that needs a person.
ProcessHow it
How it
works.
Build the agent
An AI agent designed around your workflow, not a chat window. It reads, decides, and acts on a schedule — and knows when to stop and hand a job to a person for sign-off.
Connect your tools
The agent works inside the systems you already run — email, spreadsheets, CRM, accounting, shared drives, internal databases. No new platform for your team to learn, no data migration.
Deploy & look after it
Your agent runs on a managed server, logs every action, and alerts your phone when something needs attention. We monitor and tune it after launch — "stable for 30 days" is the bar, not "works on my laptop."
Example / 001A working
A working
day on
autopilot.
What one deployed agent's day might look like at a small services business. Every line is a job someone on the team used to do by hand. Now the agent does the legwork, and the team reads the results and makes the calls.
The schedule
- 07:00Triage overnight email — label, draft replies, flag what's urgent
- 08:30Pull yesterday's sales, bookings, and spend into a one-page morning report
- 10:00Match new invoices and receipts against the books; queue anything that doesn't reconcile
- 13:00Update the CRM from calls, web forms, and email; set follow-up reminders
- 16:00Chase overdue payments and unanswered quotes with polite, personal nudges
- 18:00Send an end-of-day summary — what ran, what's waiting on a person
Runs
On schedule
24/7 or business hours
Approvals
Your rules
sign-off where it matters
Audit trail
Every action
logged and reviewable
Illustrative example. Every agent is scoped to your own workflow — the jobs, the tools, and the approval rules are set with your team.
Real AI is what's running on the server right now. Everything else is a slide.
Engagement
What does your team do every morning that an AI agent could do instead?
We work directly with founders and operations leads. Same engineer from spec to production — no project-management layers, no farmed-out work.