automate theboring parts.
We build AI workflows for teams that are tired of context-switching, copy-pasting, and waking up to broken Zaps.
Most “AI automation” is a demo. Ours is a weekday at 2pm — doing the invoice you forgot, routing the ticket you missed, reconciling the spreadsheet nobody opens. Quiet software for loud inboxes.
four moving parts.
nothing else.
ingest.
Pulls from the tools you already use. Gmail, Slack, Drive, HubSpot, Postgres — anything with an API or a webhook. We don't ask you to change where the work lives.
gmail ───┐ slack ───┤ drive ───┼──► [ ingest ] ──► queue hubspot ─┤ postgres ┘
reason.
An LLM wired into your own rules, policies, and data — not just a chat window. Decisions are logged against the inputs that produced them. Vibes-free by design.
┌──────────┐ │ rules │─┐ ├──────────┤ │ ┌───────┐ │ policy │─┼──►│ llm │──► decision ├──────────┤ │ └───────┘ + log │ your db │─┘
act.
Writes back to the same tools. Creates tickets, sends drafts for approval, files documents, fires a Stripe refund. Irreversible actions always ask a human first.
decision ──► ▸ create ticket
▸ draft + await ok
▸ file doc
▸ fire webhook
▸ nudge slackobserve.
Every run is a receipt. See what the workflow did, what it skipped, and what it escalated — before your ops lead has to ask. Replays and rollbacks are one click.
[■■■■■■■■□□] 82% runs ok [■■■■■■■■■■] 100% logged [■■□□□□□□□□] 18% escalated ↳ every run is a receipt.
three commands.
one engagement.
We move in weeks, not quarters. No phased rollouts that die in month four.
We audit your workflows first. Two weeks of watching and asking questions before we touch anything. You see everything we see.
You approve the blueprint for each automation. We ship the first workflow to production within a week of sign-off, then the next, then the next.
Every run is reviewable and reversible. You stay in the loop, or out of it — your call, per workflow, flipped with one flag.
hours/month returned to ops teams, on average.
missed tickets after the first workflow goes live.
in quarterly spend reallocated from manual work.
— representative figures from deployed workflows. specific results on request.
“The weird part wasn’t the time savings. It was opening Slack on a Monday and nothing being on fire.”
tell us what’s
breaking.
We’ll read it, and if we can help, we’ll write back within a day. No decks. No discovery call about having a discovery call.