What to Automate First in Marketing AI
Most guides say automate everything. Wrong. Start with the boring stuff that breaks when humans forget, like follow-ups and scheduling.
Co-Founder, GetLatest AI
Lilach Bullock, an AI implementation consultant, just published a piece on what to automate first when bringing AI into marketing. Her advice cuts through the noise. She points out that most teams start with the wrong things. They want AI to write their blog posts or generate creative campaigns. Those are fun to automate. But they are not where you lose money.
Here is the opinion most SMB owners need to hear. You should automate the boring stuff first. Specifically, automate the tasks that break your pipeline when a human forgets them.
Let me explain what that means in practice.
The Problem with Most Automation Advice
Most guides on AI marketing automation read like a wishlist. They tell you to automate content creation, social media posting, and email newsletters. These sound exciting. They feel like you are building a marketing machine.
But here is what actually happens at most SMBs we work with at Helix.
The content gets created. The posts go out. The newsletter lands in inboxes. And then nothing happens because nobody followed up with the leads who clicked.
The automation was flashy. The revenue did not move.
What Breaks When Humans Forget
Think about your own pipeline for a second.
What are the tasks that require zero creativity but total consistency? These are the ones that slip through the cracks when someone goes on vacation, gets sick, or simply forgets.
Here is a short list we see constantly.
- Sending a follow-up email after someone downloads a resource
- Notifying a sales rep when a lead visits the pricing page twice in one week
- Moving a deal to the next stage in your CRM after a demo call
- Scheduling a reminder to check in with a prospect who went silent
- Logging call notes so the next person knows what happened
These tasks are boring. They are also the backbone of your revenue engine.
When they break, deals stall. Leads go cold. Your pipeline leaks money in ways you cannot see until you look back three months later and wonder where everyone went.
Why AI Works Best Here
AI is not great at being creative. It is decent at it, but humans are better.
AI is exceptional at being consistent. It does not forget. It does not get tired. It does not decide to skip the follow-up because it is Friday afternoon and the weekend is calling.
This is why the boring stuff should come first.
When you automate follow-ups, reminders, and CRM updates, you remove the human error from the equation. You ensure that every lead gets touched. Every deal gets tracked. Every opportunity gets the attention it deserves.
The creative stuff can wait. The creative stuff is fun to automate, but it does not directly fix the holes in your pipeline.
A Practical Framework for Prioritizing
Here is how we tell clients to think about automation priority.
Tier 1: Tasks that break revenue when missed
- Lead follow-ups
- CRM updates and deal stage changes
- Meeting scheduling and reminders
- Internal notifications for hot leads
Tier 2: Tasks that save time but do not break revenue
- Social media scheduling
- Content drafting assistance
- Reporting and dashboard updates
- Meeting summarization
Tier 3: Tasks that are nice to have
- Creative brainstorming support
- Brand voice guidelines
- Competitive research summaries
Start at Tier 1. Do not move to Tier 2 until Tier 1 is fully automated and running without issues.
What This Looks Like in Practice
At Helix, we run GTM automation for revenue-share clients. Most of them come to us with a messy stack. They have tools scattered everywhere. They have automation halfway built. They have leads falling through cracks they did not know existed.
The first thing we do is map the handoffs.
Where does a lead go after they fill out a form? Who is supposed to reach out? How long do they wait? What happens if nobody responds?
We then build automations that plug those gaps. Not fancy AI-generated content. Just simple triggers and actions.
- Lead fills form → AI drafts personalized follow-up → Human reviews and sends within 2 hours
- Lead visits pricing page twice in one week → Slack notification to assigned rep
- Demo call ends → AI summarizes call → Notes logged to CRM → Follow-up scheduled for 48 hours later
These are not glamorous. They work.
The Lilach Bullock Signal
Bullock's article hits on something similar. She warns against automating everything at once. She suggests starting with the tasks that take up the most time but require the least judgment.
I would take that one step further. Start with the tasks that require the least judgment and cause the most damage when skipped.
Time savings are nice. Revenue protection is better.
A Quick Test for Your Own Stack
If you are reading this and wondering where to start, try this exercise.
Write down every task in your marketing and sales process that happens after someone shows interest. Then ask yourself three questions about each one.
- Does this task require creativity or judgment?
- Does this task break revenue when a human forgets it?
- Is this task currently being done consistently by a human?
If the answer to question 2 is yes, and the answer to question 3 is no, automate it immediately.
If the answer to question 1 is yes, think twice before automating it. Humans are better at judgment. AI is better at consistency.
Closing Thought
Most AI marketing advice focuses on what AI can do. The better question is what AI should do for your specific business.
For SMBs, the answer is usually simple. Automate the stuff that breaks when humans forget. Save the creative work for the humans who do it well.
Your pipeline will thank you.

Co-Founder, GetLatest AI
Justin is the co-founder of GetLatest AI and Helix. Ran Microsoft's U.S. AI partner ecosystem; writes about AI agent architecture, GTM systems, and what actually works for SMBs.
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