Hours back every week
We measure a workflow before and after. You pay for hours saved, not a demo with emojis.
Reports, follow-ups, data entry, support triage, document search. The repetitive work eating your team's hours, taken over piece by piece: at first you approve every output, then, once you see it holds, you let it run on its own.
"My team spends Mondays generating last week's reports."
"Half our tickets ask the same 5 questions, no one has time to write docs."
"Sales reps copy-paste between CRM, email and Slack all day."
"We have great internal docs but no one finds anything."
We measure a workflow before and after. You pay for hours saved, not a demo with emojis.
Human copy-paste runs at 1–3% errors. Well-built pipelines stay under 0.1% and log everything.
Weekly reports generated automatically, not on Friday's snapshot, but on what's currently in Stripe, CRM, analytics.
Good people aren't expensive to do data entry. You free their hours for things only they can do.
We start with a process audit, no point automating work you shouldn't be doing in the first place.
We map 1–2 workflows, time them, and identify the 2–3 with the highest leverage.
We pick the right tool for each (no-code, RAG, custom agent) and design the data flow.
Build, test, hand over with docs and dashboards.
Exactly why we don't ship agent-only systems for critical paths. Most builds use AI for classification and drafting, with a human approving the final action.
Default: vendor APIs with no-training settings. Self-hosted (open models) when data requires it. We sign DPAs before touching prod data.
Hours saved per workflow × hourly cost. Usually pays back in 2–3 months on automations that touch a team weekly.
Yes. We hand over workflows and access. You can edit an n8n flow or swap models without us.
Often: weekly report generation or support ticket auto-tagging. 1–2 week build, immediate ROI.
Tell us in 1–2 sentences. We reply in 48h on whether it's worth automating and how we'd do it.