AI

How to make a marketing team AI-operational in 30 days.

10 min read · By Shani Wolf

The 30-day plan I use with every client

Most teams try to 'adopt AI' by buying a tool and hoping people use it. That never works. Here's the plan I've deployed at 8 companies in the last year. It works because it focuses on workflow replacement, not tool training.

Week 1: Review and quick wins

Day 1-2: Map every recurring task the marketing team does weekly. Content briefs, competitor research, reporting, email drafts, social captions, meeting summaries. List them all.

Day 3-5: Identify the 5 tasks that are highest-frequency AND lowest-creativity. These are your quick wins. Usually: meeting notes, first-draft emails, data formatting, competitive monitoring, social captions.

Day 5: Deploy AI on those 5 tasks. Not 'explore AI' — deploy it. Set up Claude or ChatGPT with specific prompts for each task. Write the prompts yourself and hand them to the team pre-built.

Week 2: Build the prompt library

Take the 5 prompts from Week 1 and expand to 15-20. Cover: content creation, research, reporting, email sequences, competitor analysis. Store them in a shared Notion or Google Doc. Every prompt should include: the task name, the exact prompt, the expected output format, and one real example.

Week 3: Workflow integration

This is where most teams fail. They have prompts but no integration. Embed AI into the existing tools. HubSpot workflows that trigger AI content. Slack bots that summarize channels. Auto-generated weekly reports. The goal: AI runs in the background, not as a separate step.

Week 4: Measure and iterate

Track three metrics: time saved per task, output quality (peer review), and adoption rate (who's actually using it). Run a retro on Day 30. Kill what doesn't work. Double down on what does.

The 30-day milestones

  • Day 5: 5 AI-powered tasks live
  • Day 14: 20-prompt shared library built
  • Day 21: 3+ automated workflows running
  • Day 30: Retro complete, time savings documented

If your team can't use AI internally due to compliance restrictions, there's another path: outsource the AI execution entirely. I built a service exactly for this — regulated companies send me the brief, I send back the deliverable, and your IT never needs to know.

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