What should you automate first?
Assess repetition, rules, data quality, risk and ownership. Includes a worked example and a simple way to estimate capacity released. Read the first-automation checklist.
Practical guides
Plain-English guides for business owners and teams deciding what to automate, where AI fits and how to turn a recurring problem into a practical project.
Talk about your projectStart with the job
Assess repetition, rules, data quality, risk and ownership. Includes a worked example and a simple way to estimate capacity released. Read the first-automation checklist.
Understand the difference between fixed rules, AI-assisted interpretation and human decisions, with examples of where each belongs. Read the AI and automation comparison.
From reading to doing
You do not need to arrive with a preferred platform or technical specification. A description of the task, the tools involved and what a good outcome looks like is a useful start.
Our implementation approach explains how we move from that conversation to a scoped build, testing and handover. If the problem is already clear, explore the services below.
Let’s talk
Tell us where work gets held up, which tools you use and what a better result would look like. We’ll discuss the practical options and agree a scope before any build starts.
Discuss an automation project