Quick answer
To choose the next business workflow to automate with AI, start from what already works, list nearby tasks that use the same information, and score each one on time saved, how often it happens, how easy it is to check and the risk if it goes wrong. Pick the highest scorer, aim AI at its most valuable step only, run a two-week pilot with a clear success measure, then keep, change or drop it.
Key takeaways
- Your first AI success is the best clue to your next one
- Favour tasks that reuse information you have already organised
- Score candidates on value, frequency, checkability and risk
- Automate the high-value step, not the whole process at once
- Every pilot needs a success measure and an end date
In this guide
- Why does choosing the next workflow matter?
- Step 1: What is already working?
- Step 2: How do you list candidate workflows?
- Step 3: How do you score each workflow?
- Step 4: Where is the high-value step in the workflow?
- Step 5: How do you run a small pilot?
- Step 6: How do you decide to keep, change or drop it?
- What are good next workflows for a small business?
- Frequently asked questions
- The bottom line
- Related posts
This guide supports our main article, Anthropic S-1: What It Reveals About Enterprise AI Adoption. The filing shows that even the biggest companies use AI in only a few teams at first, and that growth comes from finding the next worthwhile job. Here we answer one practical question for a small business: once one AI task is working, what should you automate next?
📘 Main article: Want the background first? Read Anthropic S-1: What It Reveals About Enterprise AI Adoption, then use this guide to plan your next step.
Why does choosing the next workflow matter?
Because the second project decides whether AI becomes part of how you work or stays a side experiment. Nate B Jones points out that real workflows tend to be messy, oddly set up and poorly documented, so picking the wrong one can waste weeks and put you off AI altogether.
Picking well has a second benefit: each project you finish leaves behind connected tools, tidy information and tested instructions that make the next one quicker.
Step 1: What is already working?
Write down the AI task that is already saving you time and why it works. For example, drafting replies to common customer emails works because the questions repeat, the answers live in your FAQ and you check every draft before it goes.
Note three things about it:
- What information it uses (your FAQ, price list, past emails)
- Who checks the output and how long that takes
- What result it improves (faster replies, fewer missed enquiries)
💡 Tip: If nothing is working yet, start smaller: pick one repetitive writing or sorting task you do every week and get that right first.
Step 2: How do you list candidate workflows?
List tasks that sit next to your working task or reuse the same information. These are usually the easiest wins, because the groundwork is already done. Ask yourself:
- Which jobs use the same documents or data?
- What happens just before or just after the task AI already does?
- Which weekly tasks do I put off because they are dull?
- Where do customers or suppliers wait on me?
Aim for five to ten candidates. Do not judge them yet; just get them on paper.
Step 3: How do you score each workflow?
Give each candidate a score from 1 to 5 on five measures, then add them up. Flip the risk score so that lower risk scores higher.
| Measure | Question to ask | Scores high when |
|---|---|---|
| Time saved | How many minutes does it take me each time? | It takes 15 minutes or more |
| Frequency | How often does it happen? | Daily or several times a week |
| Checkability | How quickly can I spot a mistake? | A quick read confirms it is right |
| Information ready | Is the information it needs already organised? | It reuses what your first task uses |
| Risk (reversed) | What happens if AI gets it wrong? | A mistake is easy to catch and undo |
This scoring grid is our own suggested method, not a formula from the video.
⚠️ Warning: Anything that sends money, signs agreements or contacts customers without review should score low on risk, however much time it saves. Keep a human approval step on those.
Step 4: Where is the high-value step in the workflow?
Break the winning workflow into steps and find the one where AI adds the most value. Nate stresses aiming AI at the high-leverage point in a workflow rather than trying to automate everything.
For a weekly client report, the steps might be: gather numbers, spot what changed, write the summary, format it and send it. The high-value step is usually spotting what changed and writing the summary. Gathering numbers might already be automated, and sending should stay with you.
Step 5: How do you run a small pilot?
Run the new AI step for two weeks with one clear measure of success.
- Write the measure first, for example “report takes under 20 minutes, with no more than one correction”
- Record a baseline: how long it takes today without AI
- Give the AI the same information each time and save your instructions so runs are consistent
- Check every output during the pilot and note what you corrected
- Set an end date in your calendar to review
💡 Tip: To put numbers on the result, use the simple method in How to Measure the ROI of an AI Tool in a Small Business.
Step 6: How do you decide to keep, change or drop it?
At the end date, compare results with your baseline and choose one of three options:
- Keep: it met the measure, so write down the instructions and make it part of your routine
- Change: it nearly worked, so fix the instructions or the information and run one more short pilot
- Drop: it did not save time or needed too much checking, so stop and move to the next candidate
Then go back to your scored list. Dropping a pilot is useful learning, not failure.
What are good next workflows for a small business?
These are example ideas, not results from a specific business.
| If this already works | Try next |
|---|---|
| Drafting replies to customer emails | Turning common questions into an FAQ page or help article |
| Writing social media posts | Repurposing each post into a short email for your list |
| Summarising sales calls | Drafting the follow-up email and next-step task |
| Writing product descriptions | Drafting matching ad copy for review |
| Tidying meeting notes | Creating a weekly action list for the team |
📘 Main article: Your next workflow will go faster if your information is organised. See our companion guide How to Get Your Business Data Ready for AI Tools, and the full analysis in Anthropic S-1: What It Reveals About Enterprise AI Adoption.
Your next step: list five tasks that sit next to your best AI task today, score them with the grid above and start a two-week pilot on the winner. For the bigger picture, read our main article on Anthropic’s S-1.
Frequently asked questions
How do I know which business process to automate first?
Start with a task that is repetitive, frequent, easy to check and low risk if it goes wrong. Drafting and summarising tasks are usually good first choices.
Should I automate a whole workflow at once?
Usually not. Automate the single most valuable step first, prove it works, then extend to the steps around it.
How long should an AI pilot run?
Two weeks is a good default for most small business tasks. It is long enough to see a pattern and short enough to stop if it is not working.
Do I need a developer to automate a workflow with AI?
Not always. Many tasks can start with an AI chat tool and saved instructions, and tools such as Zapier can connect apps without code. Bring in help when it touches important systems or money.
The bottom line
The best next AI workflow is usually the one next to what already works. List the nearby tasks, score them honestly, aim AI at the most valuable step and test it for two weeks. Your next step: pick five candidates today.
Related posts
- Anthropic S-1: What It Reveals About Enterprise AI Adoption
- How to Plan for AI Automation in a Small Team Without Panic
- How to Measure the ROI of an AI Tool in a Small Business


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