Free Linkable Resource

AI Automation Checklist for Small Businesses

A practical checklist for choosing the first workflow to automate, adding AI safely, and avoiding systems that create more cleanup than they save.

Use the Checklist Export or Send Get Help Implementing

Export this checklist

Print it, save as PDF, download a text copy, or send it to someone on your team.

Send by Email

1. Pick the right workflow

The task happens every week or every day.
The task has clear inputs and outputs.
The task costs time, money, speed, or customer experience when delayed.
The task has a human owner who can review edge cases.
The result can be measured before and after automation.

2. Map the handoff

List where the work starts: form, phone call, email, text, spreadsheet, CRM, calendar, or document.
List every tool the data touches.
Mark where humans copy and paste information.
Mark where leads, tasks, or invoices get stuck.
Document who needs to be notified when the workflow succeeds or fails.

3. Add AI only where it helps

Use AI for classification, summaries, drafts, extraction, call handling, or routing.
Keep human approval for pricing, legal, medical, financial, or high-risk decisions.
Decide what data AI can see before connecting tools.
Write fallback rules for unclear requests.
Log AI outputs so they can be reviewed later.

4. Build the first version safely

Start with one workflow, not the whole business.
Use test records before touching real customers.
Add notifications for failure states.
Add a manual override.
Review the first 25-50 runs before expanding the system.

Copy/paste prompt for your team

Use this with ChatGPT, Claude, or your internal AI tool before buying software or connecting AI to production workflows.

Act as a practical automation architect for a small business.

Goal: help us choose the first workflow to automate safely.

Business context:
- Industry:
- Team size:
- Main tools we use:
- Workflow we are considering:
- Current pain:
- Approximate volume per week:
- What happens when this workflow is late or wrong:

Analyze the workflow and return:
1. A 0-10 automation readiness score.
2. Whether this should be automated now, simplified first, or skipped.
3. The best first version of the automation.
4. What AI should do: classify, summarize, draft, extract, route, call, or decide nothing.
5. What must stay human-approved.
6. Sensitive data that should not be sent to public AI tools.
7. Failure cases and fallback rules.
8. Systems that need to connect.
9. The success metric we should track for 30 days.
10. A one-week implementation plan with test cases.

Want us to find the first automation win?

Tech Adventures builds practical AI automation for Tampa Bay and Florida businesses: lead response, CRM integration, intake, billing, and reporting workflows.

Request an AI Opportunity Audit