AI at Work Quiz: Are You Getting the Most From AI Productivity Tools?

A small accounting firm uses the free version of an AI chatbot to help draft client financial summaries. The summaries include client names and income figures. What is the primary data risk?

Free-tier AI tools may use inputs for model training, potentially exposing client financial data — this likely violates professional confidentiality obligations No risk — small accounting firms are exempt from data confidentiality regulations Free AI tools automatically encrypt all submitted data The AI chatbot will share client financial data with the IRS

A sales team writes a different prompt every time they need to generate a follow-up email after a meeting. What is the highest-leverage improvement?

Each salesperson should develop their own unique prompting style Create a reusable prompt template with clearly marked variables for meeting date, client name, key discussion points, and next steps Switch to a more powerful AI model Only the most senior team members should use AI — it causes quality variance

A marketing team asks AI to generate 10 example customer personas for their advertising campaign. After reviewing the output, all 10 personas have similar demographic characteristics. What should the team do?

Accept the default output — AI generates representative samples of actual customer data Add a disclaimer to the campaign noting AI was used Replace AI with manual persona creation to avoid bias entirely Explicitly prompt the AI to generate diverse personas across age, gender, background, and geography to ensure more inclusive representation

A law student submits a legal brief that was substantially written by an AI, without disclosure, for a law school assignment. The professor discovers it. What is the most likely consequence?

No consequence — there are no rules about AI in academic settings yet The brief is automatically rejected for technical reasons The student receives partial credit since the AI wrote it, not the student Academic integrity violation — most law schools have explicit AI use policies, and submitting AI work as your own without disclosure violates them

Which AI tool is purpose-built to automatically transcribe and summarize meetings, extracting action items?

Perplexity AI — which is designed for web research ChatGPT — by manually typing what was said in the meeting Meeting transcription tools like Otter.ai, Fireflies.ai, or Microsoft Copilot in Teams Adobe Acrobat AI — designed for PDF document review

You use an AI tool to draft a client proposal email. The AI includes a specific statistic — '73% of companies in your industry report cost savings from this approach.' What should you do before sending?

Add a disclaimer that the email was AI-generated Verify the statistic independently — AI tools frequently fabricate specific data points and percentages Send it — AI models only include verified statistics Remove all statistics since AI cannot know current data

A manager wants AI assistance woven into their daily Outlook + Word + Teams workflow without adopting a separate application. Which tool fits best?

Notion AI — requires migrating content to Notion Perplexity AI — a standalone research tool Claude API — requires developer integration Microsoft 365 Copilot — AI integrated directly into Outlook, Word, Excel, and Teams

What is the most effective first step when asking an AI to write a professional email on your behalf?

Use the AI's default style so it doesn't sound AI-generated Provide the context — who the recipient is, what the goal is, and what tone is appropriate — before asking for a draft Write the email yourself first, then ask AI to make it longer Ask for the email without context and then copy it directly

Which of these prompt template practices is MOST important for a large team to maintain quality over time?

Lock down templates so only administrators can use them Rotate to a new AI model every quarter to keep outputs fresh Require every user to rewrite 30% of the template before use Document expected outputs alongside each template so users know what 'good' looks like and can spot when quality has degraded

A small business wants to use AI for drafting responses to customer complaints that include customer names and order details. What is the simplest way to reduce privacy risk while still using AI?

Ask the AI not to store the customer's name after the session Anonymize the data — replace the customer name with 'Customer' and describe the order generically — before sending to the AI tool Never use AI for any customer-related communications Use AI only on Tuesdays when server load is lower and data is more secure