The short answer
Choose a task you do regularly, where the inputs are reliable, the output is easy to judge and mistakes can be caught before they reach a customer. A first draft of a content brief is often a more manageable experiment than automatically publishing content or replying to enquiries without review.
1. Start with the work, not the tool
Write down three marketing tasks that take repeated effort. For each one, note what triggers it, what information goes in, what a good result looks like and who uses it next. “Improve our marketing” is too broad. “Turn an approved campaign source pack into a first content brief” is specific enough to test.
Consider frequency, friction and consequences together. A task that happens often may be worth improving, but a high cost of error can make it a poor first experiment. If the task has no clear purpose or the information is unreliable, fix that foundation before adding AI.
2. Check whether the task is ready
Use these five questions as a practical decision aid, rather than a validated scoring model.
- Is it repeatable? You can describe the same basic steps each time.
- Are the inputs dependable? You have approved facts, a clear audience and relevant source material.
- Can you recognise a good output? You can check it against explicit requirements.
- Can you control the risk? You can use a small, reversible test without exposing confidential information or allowing unchecked actions.
- Is there a reviewer? Someone understands the task and has time to check the result.
If a key answer is no, change the task or resolve the gap first. Start with public or synthetic information. Check your organisation’s rules and the selected tool’s data settings before using business information; keep personal and confidential material out of the initial test.
For a broader look at your marketing foundations and workflow readiness, use the free AI Marketing Opportunity Scorecard.
3. Try a small content-brief workflow
Illustrative example: a small marketing team needs a first brief for an article about a new service. This is a sample process, not a client case study or a claim about results.
Input → draft → review → approve
The approved source pack supplies the facts. AI organises a first brief. A marketer checks accuracy, relevance and gaps. The brief only moves into production after that review.
Prepare the source pack
Include the intended audience, the problem the article should address, approved service facts, the desired next action and the brand’s writing guidance. Leave out unsupported claims. Decide what the brief must contain: a reader question, key messages, outline, evidence needed and a call to action.
Give a bounded instruction
Using only the approved source pack below, draft a content brief for the stated audience. Include the reader question, key messages, outline, evidence needed and next action. Flag missing information. Do not invent facts, statistics, quotations, testimonials or service promises.
This instruction is a starting point. Adapt it to the task and inspect the output; a prompt does not guarantee factual accuracy.
Review before using it
Compare every factual claim with the source pack. Check that the brief answers a real audience need, reflects the service accurately and gives the writer enough direction. Mark invented details, missing context and generic sections. Revise or reject the draft before it enters production.
4. Measure the whole job
Record a baseline for completing the task without AI. Then record preparation, generation, checking and editing time during the pilot. A quick draft is not a saving if reviewing it creates more work.
| What to record | What it tells you |
|---|---|
| Total time from start to approved output | Whether the complete task became more efficient |
| Factual corrections and missing requirements | Whether accuracy and completeness are acceptable |
| Reviewer judgement against the same checklist | Whether the result is useful enough to keep |
| Tool cost and extra process steps | Whether the change is worth maintaining |
Use a small batch of comparable tasks, rather than judging the workflow from its best result. Treat early findings as provisional. Agree what acceptable quality means before the test, and keep the reviewer in control.
5. Decide what to keep, adjust or stop
Keep it if it meets your quality requirements and improves the overall task. Adjust it if a clearer source pack, instruction or review step could resolve the problem. Stop it if errors, review effort or risk outweigh the benefit.
Document the inputs, steps, reviewer and approval point for any workflow you retain. Recheck it when the task, tool or source information changes. Expand only after the small process works reliably enough for its intended use.
Your next useful step
Choose one task and write down its inputs, output, reviewer and success criteria. The 10-Minute AI Marketing Opportunity Scorecard includes a practical 30-day planner to help you turn that choice into a small test.
If you want help selecting the right opportunity or building the workflow, explore my AI marketing workflow support or tell me about your challenge. You work directly with me, from scoping through to handover.