Foundation Route

How to Use AI at Work: Build a Risk Checklist First

Before your team pastes client data into ChatGPT, you need a policy. Follow 8 steps and build a risk checklist that covers data privacy, accuracy, and compliance.

8 steps ~45min For all professionals Free

Knowing how to use AI at work safely starts with a risk checklist. Most teams adopt AI tools without thinking about data leaks, hallucinated facts, or compliance violations until something goes wrong. On aidowith.me, the Quality & Risk Checks route walks you through 8 steps to build a practical checklist your team can follow before using any AI tool. You'll map which tasks involve sensitive data, flag where AI outputs need human review, set rules for what can and can't go into a prompt, and create an approval flow for high-stakes content. The checklist covers four risk categories: data privacy, output accuracy, legal compliance, and brand safety. Each step produces a usable section of the final document. The route takes about 45 minutes, and you walk away with a one-page checklist you can share with your team the same day.

Last updated: April 2026

The Problem and the Fix

Without a route

  • Someone on your team pasted client financials into ChatGPT and you only found out after
  • Your company has no AI policy, so everyone uses different tools with different rules
  • AI-generated reports went out with wrong numbers and you caught it too late

With aidowith.me

  • A clear checklist that tells your team what data can and can't go into AI tools
  • Built-in review gates for high-stakes AI outputs before they reach clients
  • A finished one-page policy you can distribute to your team in 45 minutes

Who Builds This With AI

Marketers

Content, campaigns, and briefs done in hours instead of days.

Sales & BizDev

Prep calls, draft outreach, research prospects in minutes.

Managers & Leads

Reports, presentations, and team comms handled faster.

How It Works

1

Map your AI risk areas

List every task where your team uses AI. Flag which ones involve sensitive data, client information, or public-facing content.

2

Build the checklist with AI

Work through 8 steps covering data privacy, accuracy, compliance, and brand safety. Each step adds a section to your checklist.

3

Test and distribute

Run the checklist against a real task from last week. Fix any gaps, then share it with your team as a one-page reference.

Build your AI risk checklist today

8 steps, 45 minutes, and your team has clear rules for using AI at work.

Start This Route →

What You Walk Away With

Map your AI risk areas

Build the checklist with AI

Test and distribute

A finished one-page policy you can distribute to your team in 45 minutes

"We had zero AI guidelines. Built the checklist on a Tuesday and rolled it out Wednesday. Our legal team was impressed."
- Operations manager, financial services firm

Questions

The route helps you classify tasks by data sensitivity. You'll create rules for what can go into AI prompts (public info, internal drafts) and what can't (client data, financial records, personal information). Each rule maps to a specific check your team runs before prompting. It takes about 10 minutes to set up the classification and saves you from a data incident later.

Yes. The checklist is tool-agnostic. It covers risk categories that apply to ChatGPT, Claude, Gemini, Copilot, and any other AI tool your team picks up. You set the rules once, and they work across tools. The route also shows you how to add tool-specific notes if certain platforms handle data differently.

About 45 minutes for the full 8-step route from start to a finished checklist. You'll have a usable draft after step 5, which takes roughly 25 minutes. The last three steps cover edge cases, team-specific policies, and formatting for distribution. Most teams finish during a single lunch break and share the checklist with everyone that same afternoon.