Connected tools
Forms, email, calendars, CRMs, payments and spreadsheets joined so data is entered once.
Automate / Workflow automation
Work that moves itself between systems.
An enquiry comes in, a calendar gets updated, an invoice goes out, the team is told. We connect the steps so nobody copies data from one tool to the next.
What we build
Where we usually start.
Document steps
Invoices, forms and reports read and turned into data, with a person checking the exceptions.
Approvals and alerts
The right person is asked at the right step, and nothing goes out without the sign-off it needs.
The right tool for it
n8n, Make or custom code, chosen for what you’ll be able to run and change after we hand over.
How we measure it
A baseline before, the same numbers after.
We time the workflow as it runs today, step by step. After launch we report the same numbers.
- 01Manual steps removed
- 02Time from request to done
- 03Errors and duplicates
- 04Hours saved per week
How it runs
Four steps, the same on every project.
- 01
Map the work
We sit with the people who do the work today and map the process as it actually runs.
- 02
Measure the baseline
Time, errors and cost for the task as it is now, written down before we build anything.
- 03
Build in small releases
Working software early, reviewed with you as it develops.
- 04
Report the same numbers
After launch we measure the same things again, so the result is a number, not an opinion.
From the blog
Guides on this.
AI agents and automation · 12 Aug 2026 · 6 min read
A Caching Strategy That Cuts Your AI Bill
Cache the deterministic and reusable parts of your AI workflow without serving stale private data or pretending every model response is interchangeable.
AI agents and automation · 31 Jul 2026 · 7 min read
MCP Server Security: What to Check Before You Connect One
Connecting an MCP server is installing software and handing it credentials. A practical review checklist for anything you are about to plug into your agent.
AI agents and automation · 30 Jul 2026 · 7 min read
The Vulnerability Classes AI Code Generators Keep Producing
AI coding tools fail in patterns, not at random. These are the vulnerability classes they produce again and again — and the fastest way to find them in your own repo.
Related
Also worth a look.
Questions
What buyers usually ask.
It depends on how complex the workflow is and who will maintain it. We recommend the simplest option your team can run after handover.