Service
AI & Automation
Take the repeated work off your team, then put AI where it genuinely saves time.
The copy-paste part of a job is usually where the hours go: ordering, onboarding, reporting, follow-ups, data re-typed between systems. That work gets automated first. AI is then brought in where it genuinely removes effort, proved on real work before anyone pays for licences they will not use.
What it covers
- 01Process mapping: where the hours actually go, and which of them can be taken away
- 02Automations built in n8n or Zapier, or in code where those are the wrong tool
- 03Integrations across CRM, email, spreadsheets, POS and finance systems
- 04AI tool selection and setup across ChatGPT, Claude and Gemini, judged on your work
- 05Error handling and alerts, so a silent failure cannot run for a month
- 06Written runbooks and team onboarding
What you end up with
- Working automations in your own accounts
- A configured AI workspace and a documented prompt library
- A runbook per workflow, in plain English
- A before-and-after on time spent
Who it suits
Any business where the same information is typed into a second system, a weekly report is assembled by hand, or AI tools are paid for and not saving time.
How the work runs
- 01
Map what happens now
Every step, every handoff, every place the work waits. The bottlenecks are usually obvious once it is drawn.
- 02
Prove it on one process
The highest-value candidate is built end to end on real inputs first. If it does not hold up, that is cheaper to learn here.
- 03
Build, watch, hand over
Built in your accounts, watched through a first real cycle, then documented and handed across.