Your Notion workspace deserves better AI software

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 possible
Person working with AI-powered Notion workspace on laptop
6.2h Average weekly
time saved per user
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Workspaces automated
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Notion API integrations shipped
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Database rows processed daily
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% client retention rate

AI software shaped around your Notion workflow

Every 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.

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.

Draft generation for docs

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.

Smart tagging and sorting

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.

Scheduled syncs and alerts

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.

Multi-workspace bridging

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.

Onboarding and training

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.

Four steps from messy workspace to automated calm

1. Workspace audit

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.

2. Prototype in 72 hours

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.

3. Refine and deploy

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.

4. Monitor and iterate

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.

What changes after the AI goes live

Organised workspace with AI-managed database on screen

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.

Things people ask us

Do I need to change my existing Notion setup?
No. We build around whatever structure you already have. If your databases need tweaking for the AI to work well, we suggest specific changes and explain why, but we never force a migration.
Which AI models do you use?
It depends on the task. For text classification and tagging, smaller fine-tuned models are faster and cheaper. For draft generation, we use GPT-4o or Claude depending on your preference. We always tell you what's running and why.
How much does a typical project cost?
Most initial builds land between £2,000 and £6,000 depending on scope. The audit is free. Monthly retainers for monitoring and iteration start at £400. We quote a fixed price before any work begins, so there are no surprise invoices.
Is my data safe?
We access your workspace through Notion's official API with scoped permissions. We never export your data to our own servers. AI processing calls go directly from the integration to the model provider over encrypted connections. If you need a DPA signed, we handle that before the audit.
Can the AI handle languages other than English?
Yes. We have clients running automations in German, French, Spanish and Japanese. The underlying models support dozens of languages, and we test accuracy in your specific language during the prototype phase.
What happens if something breaks at 2 a.m.?
Retainer clients get a monitoring dashboard and automatic error alerts. If a sync fails, the system retries twice and then pauses, so it never writes bad data into your workspace. We typically respond within four hours during UK business days.

Let's figure out what your workspace needs

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.

402 Sienna Avenue, Newton O'Hara Heath, Scotland, ZY2 2HT, United Kingdom