Auto-populated databases
Our AI watches designated pages, extracts structured data, and pushes it into your Notion databases. You stop copying and pasting between tabs. A typical setup handles 500+ entries per day without you lifting a finger.
We write custom AI that lives inside your Notion setup. It reads your pages, fills your databases, drafts your docs, and keeps your projects on track while you focus on the work that actually matters.
Show me what's possibleEvery team uses Notion differently. Some treat it as a wiki, others as a CRM, and a few have turned it into a full project management system. Our AI plugs into whatever you've already built.
Our AI watches designated pages, extracts structured data, and pushes it into your Notion databases. You stop copying and pasting between tabs. A typical setup handles 500+ entries per day without you lifting a finger.
Meeting notes, project briefs, weekly updates: tell us the template, and our AI generates first drafts in your Notion pages. It pulls context from related databases so the output is specific, not generic filler text.
The AI reads the content of each entry, assigns tags from your taxonomy, and moves items to the right views. One client had 4,000 untagged support tickets; we cleared the backlog in under two hours.
Set a cadence and the system runs on its own. Daily digest pages, weekly rollup databases, Slack pings when a status changes. We configure the schedule; Notion stays current without manual check-ins.
Running separate Notion workspaces for different departments or clients? Our connectors pass data between them securely, keeping permissions intact and avoiding the mess of manual exports.
We don't hand over a tool and disappear. Each engagement includes two live sessions where we walk your team through the setup, answer questions, and adjust triggers based on real usage patterns.
We get guest access to your Notion workspace and spend a day mapping your databases, page trees, and integrations. By the end of that day, we send a short document listing the five biggest time sinks we spotted and what we recommend automating first.
Within three working days, you get a live prototype running against a copy of your data. This is real AI processing real entries, not a slide deck. You can poke it, break it, and tell us what feels wrong.
Based on your feedback, we tune prompts, adjust database schemas, and lock down error handling. Deployment happens directly inside your workspace. No external dashboards to learn.
For the first 30 days post-launch, we monitor accuracy logs and fix anything that drifts. After that, you can extend to a monthly retainer or run the system independently. Most clients choose the retainer because their workflows keep evolving.
A 14-person product team in Edinburgh was spending roughly 11 hours each week maintaining their Notion project tracker. Status updates, priority reshuffling, tagging new tickets: all manual. After we deployed our AI layer, that dropped to under 2 hours. The remaining time went into actual product work.
A solo consultant used Notion as a client CRM. She had 320 contacts spread across three databases with inconsistent tags. Our AI merged, de-duplicated, and re-tagged the whole lot in 45 minutes. She now runs a weekly sync that keeps everything current without her touching it.
These aren't hypothetical gains. They come from real engagements where we measured before-and-after task times using Notion's own activity logs.
Describe what's eating your time in Notion. We'll reply within one working day with an honest assessment of whether AI can help, and if so, what kind of build makes sense.