Proof

Work that paid for itself.

Real engagements, real numbers. Client names available on request.

FTSE 250
Organisation

Digital Marketing

From Monday.com chaos to clean, AI-connected workflows

The problem. Multiple workstreams running on a tangled Monday.com setup. No clear ownership, campaigns crawling from brief to delivery, agencies and internal teams working blind.

What we did. Rebuilt the boards around how work actually flows, then connected AI agents to automate briefing, handoffs and status updates between internal teams and agencies.

Monday.com · Stack integrations · AI agents
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−50%
campaign turnaround time
14 days
brief to delivery, down from 28
LinkedIn Content
Agency

Scaling to double the clients without doubling the team

The problem. The owner doubled his client base and things started falling through the cracks. Coordinating internal brand managers and external designers by hand meant missed handovers and no view of what was done, in progress or coming next.

What we did. Designed new ways of working and built an Airtable operating system with human checkpoints: full visibility of past, present and future work, clean delegation, automated notifications, and 16 AI agents powering content brainstorming and generation.

Airtable · N8N automation · 16 AI agents
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100+ hrs
of weekly work automated
1 system
replacing 25 spreadsheets and 100+ documents
Executive
Business Coach

Bookkeeping that runs itself, once a month

The problem. Invoices arrived across three separate email accounts and were collected entirely by hand, then reconciled in a manual spreadsheet. Every month, days were lost chasing paperwork.

What we did. Built an AI agent that analyses and classifies invoices from all three inboxes, files the emails into the right folders, and feeds a live Google Sheets tracker that keeps monthly bookkeeping up to date on its own, running once a month.

Email automation · Make.com · AI agent
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1
automated source of truth, replacing 3 messy inboxes and a manual spreadsheet
200 hrs
saved a year
Market Research
Agency

One way of working for a team drowning in ad hoc

The problem. No visibility of who was working on what, no standard way of naming tasks, assets or folders, and prospecting, internal alerts and project setup all done by hand.

What we did. Designed their ways of working and built an Airtable operating system with human review checkpoints: standardised tasks and naming conventions, automated prospecting, internal alerts and folder creation, with AI modules handling reporting and prospect messaging.

Airtable · Automations · AI modules
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1 system
replacing inboxes and spreadsheets
10 hrs
of manual work automated, every week
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