AI for engineering businesses: a practical implementation guide

What's inside

• 01
  Why this matters for businesses like yours

  The honest case for AI in technical businesses — and why most of what's been written doesn't apply to you.
• 02
  The tools that work

  You don't need to change your software. Here's the thin layer you add on top of what you're already running — whether that's Sage or Xero, Salesforce or HubSpot, Dynamics or something else.
• 03
  Finding where to start

  A structured audit method to identify your highest-value automation candidates. Includes a scoring framework and the six areas that come up most often in technical businesses.
• 04
  Customer query automation — step by step

  How to handle 60–70% of inbound queries without human involvement, and draft the rest in under two minutes. Includes a full worked example.
• 05
  Document generation: certificates, quotes, and reports

  Where errors live in manual document production — and how to eliminate them. Covers quote generation, calibration certificate assembly, and test report automation.
• 06
  Building your first automation: a practical walkthrough

  Step-by-step build of a working customer query automation using n8n and Claude. Includes system prompt template, scenario structure, and testing approach.
• 07
  What not to automate

  Safety-critical outputs. Compliance documentation. Relationship-sensitive conversations. Where to keep humans in the loop — and why it matters more in technical businesses than anywhere else.
• 08
  90-day implementation roadmap

  Week-by-week from zero to four working automations, with milestones, common failure modes, and how to build internal capability that doesn't depend on you.