Quick answer
The best first marketing task for an AI agent is one you do every week, that follows a clear pattern, and whose output you can check in a minute or two, such as email triage or social post drafts. Avoid anything that spends money, sends to customers or cannot be undone. Run that one task with the agent drafting and a person approving for a few weeks, then expand.
Key takeaways
- Start with work that is repeatable, frequent and easy to check
- Avoid tasks that spend money or can't be undone at first
- Score candidates on volume, risk and checkability
- Run the winner draft-only for a few weeks before expanding
This guide answers one question from my article AI Agents for Marketing Teams: Lessons from a 70-to-2 Business Rebuild: if agents can do so much, where should a small marketing team actually start?
📘 Main article: This guide supports our full article, AI Agents for Marketing Teams: Lessons from a 70-to-2 Business Rebuild. Read it for the complete picture.
Disclosure: I offer a Scale.gg bonus bundle and may earn a commission if you buy through my links.
Why not hand everything over at once?
In the business I covered, agents handle customer support, software development, social posting, video editing, email triage, promotional emails and funnel building. The 70-to-2 figures are eye-catching, but that business was rebuilt over two years.
⚠️ Warning: The headline figures were shared by Mike Filsaime's team and have not been independently verified. Use them as inspiration, not as a target for your own team.
For most teams, the sensible move is one task at a time. A single well-chosen task teaches you how agents behave, how much checking they need and where they save real time, without putting your customers or budget at risk.
How do you build your shortlist?
Open last week's calendar and inbox and list every marketing task you repeated. Aim for at least ten. Typical examples:
- Sorting and labelling incoming emails
- Drafting social posts from a new blog article
- Writing first drafts of promotional emails
- Summarising campaign results
- Replying to common customer questions
- Turning a video into show notes
- Building a landing page draft
Do not filter yet. The point is to see all of the repeatable work in one place.
How do you score each task?
Score every task from 1 to 3 on four questions. Higher is better for a first pick.
| Question | 1 | 2 | 3 |
|---|---|---|---|
| How often do you do it? | Monthly | Weekly | Daily |
| How clear is the pattern? | Different every time | Mostly similar | Same steps each time |
| How fast can you check it? | Needs an expert review | A few minutes | Under a minute |
| How safe is a mistake? | Costs money or reaches customers | Embarrassing but fixable | Easy to undo, nobody sees it |
Add the scores. Your first task is the highest total, as long as it scores 3 on the safety question.
For a fuller framework, my guide on scoring AI use cases by value, risk and reversibility goes deeper.
Which tasks usually win?
In my experience, two tasks come out on top for most small teams.
- Email triage. High volume, clear categories and easy to check. The agent labels and drafts, you decide.
- Social post drafts. Frequent, pattern-based and nothing is published until you post it.
Email triage and social post drafts also happen to be easy to switch off if the trial does not work.
💡 Tip: If you are stuck, email triage or social post drafts are usually safe first picks: high volume, easy to check and easy to switch off.
Do the list today. Write down ten repeatable tasks from last week, then score them with the table below.
Which tasks should wait?
- Paid media changes, because they spend money
- Anything sent directly to customers without review
- Pricing, checkout or billing changes
- Tasks that need judgement about your brand's direction
In the agent-native model, people make the high-level decisions and agents execute. Keep those decisions with your team.
How do you run the first task?
- Write the instructions in plain English, with examples of good output.
- Let the agent draft only. A person approves every output.
- Log time saved and fixes needed for three to four weeks.
- If results hold up, reduce checking on the easy cases.
- Pick the next task from your shortlist.
My guide on writing plain-English instructions for an AI marketing agent covers step one in detail.
Want to put AI agents to work on your campaigns? Get my Scale.gg Starter Bonus Bundle and explore more AI workflow guides on Prodify Digital.
Frequently asked questions
What is the easiest marketing task to give an AI agent?
For most teams, email triage or social post drafts, because they are frequent, pattern-based and easy to check.
Do I need coding skills?
No. As I explained in the main article, you can use standard setups or an agent sidecar and give instructions in plain English.
How long should the first trial run?
Three to four weeks is usually enough to see time saved and how many fixes are needed.
Should the agent send emails in the first trial?
No. Keep it draft-only until you trust the output.
When do I add a second task?
When the first one runs reliably and your checks find few fixes.
The bottom line
Pick one frequent, clear, easy-to-check and safe task, let the agent draft while a person approves, and measure the results. That is how a small team builds towards an agent-native workflow without risking customers or budget.
Related posts
- AI Agents for Marketing Teams: Lessons from a 70-to-2 Business Rebuild
- How to Write Plain-English Instructions for an AI Marketing Agent
- How to Score AI Use Cases by Value, Risk and Reversibility
[…] you are unsure where to start, our guide First Marketing Task to Hand to an AI Agent: How to Pick the Right One uses a similar test for AI […]