Marketing Automation and AI

Automation that removes work without removing control

I have automated around 80% of the repetitive marketing tasks in my own roles, from lead scraping pipelines to regionalised content generation for account-based marketing. The pattern is always the same: the valuable work is judgement, and judgement is buried under mechanical work that software should be doing.

The workflows I build are boring in the best way: documented, monitored, with error handling and a human approval step wherever content or customers are touched.

What the engagement covers

Automation audit. A short mapping exercise that finds the work worth automating first.

• Inventory every recurring manual task and where it lives.
• Quantify the hours each one costs per week.
• Rank by value against build effort, so the first builds fund the rest.

Workflow builds. The repetitive operations, rebuilt as reliable pipelines.

• Built primarily in n8n, each workflow owning its own error path and alert so failures surface instead of vanishing.
• Covers lead capture and routing, enrichment, scoring handoffs, campaign operations, content pipelines and reporting.
• Every step is logged and observable, not a black box.

AI-assisted steps. Summarisation, drafting, classification and enrichment, embedded inside the workflows.

• Structured outputs validated before anything moves downstream.
• Approval gates wherever judgement matters.
• AI does the first 80%; your team does the part that requires a human.

Data synchronisation. One source of truth per field, kept honest automatically.

• One authoritative source per field, decided deliberately.
• Sync flows that keep CRM, sheets and platforms consistent.
• Drift detection so records cannot quietly diverge.

Documentation. Every workflow ships with a plain-language runbook.

1. What it does and when it runs.
2. What to check when it fails.
3. Written so you are never hostage to the person who built it.