📚Academy
likeone
online

Business AI Readiness Quiz.

Ten questions covering everything in this course. Pass this and you are ready to build a real AI stack.

What this quiz covers

  • ROI calculation, vendor evaluation, and build vs. buy decisions
  • Data privacy, policy application, and employee AI misuse
  • Measurement interpretation and the right metric for any scenario
  • Tool selection, implementation sequencing, and first actions
  • Every major framework from the course applied to realistic business scenarios

Review before you begin.

Flip through these cards to refresh the core ideas from every lesson. If any concept feels unfamiliar, revisit that lesson before taking the quiz. These five cards cover the highest-leverage concepts — the ones that show up most frequently in the assessment questions below.

Do not rush through the review. Spend 30 seconds on each card. The quiz is not timed. Understanding beats speed every time.

Everything you learned in 10 lessons.

This course took you from zero AI knowledge to a complete business AI playbook. Here is every major framework, tool, and concept organized by lesson — your permanent reference guide.

Lesson 1: AI Without Jargon
20 essential AI terms translated into plain English. Key takeaway: you do not need a CS degree — you need 20 words and the confidence to ask "what does that actually mean?" when vendors throw jargon at you.
Lesson 2: What AI Can and Cannot Do
Three categories: AI Does Well, AI Can Help, AI Cannot Do. Key takeaway: the skill is knowing which category a task falls into before you hand it to AI, not after.
Lesson 3: The ROI Calculator
The formula: (hours saved x hourly cost x 52) minus tool costs. Seven cost categories. Conservative estimates beat optimistic ones. Key takeaway: math replaces gut feelings.
Lesson 4: Find Your AI Opportunities
3-factor scoring: Time Spent, Repetitiveness, Pain Level. The prioritization matrix with four quadrants. Key takeaway: start where the score is highest, not where the excitement is.
Lesson 5: Build vs. Buy
Four options: Build, Buy, Hire, Wait. Five decision factors. Seven vendor evaluation questions. Key takeaway: default to Buy unless you have a genuinely unique problem that no existing tool solves.
Lesson 6: The AI Tools Landscape
Eight tool categories, three tools each. The $100/month starter stack. Selection criteria before adding any tool. Key takeaway: know the category first, then pick the tool.
Lesson 7: Your First Week with AI
Five-day plan: Setup, Automate, Create, Analyze, Measure. Pre-flight checklist. Prompt library starter. Key takeaway: one tool, one result per day, evidence over theory.
Lesson 8: AI Policy Template
Eight essential policy sections with copy-paste clauses. 30-day rollout plan. Key takeaway: a 2-page policy everyone reads beats a 20-page policy nobody opens.
Lesson 9: Measuring AI Success
Four metrics: Time Saved, Cost Reduced, Output Increase, Quality Score. 90-day tracker template. Key takeaway: what gets measured gets managed — track all four, not just the easy ones.
Lesson 10: This Quiz
Scenario-based assessment covering every framework in the course. Key takeaway: if you can apply these frameworks to real situations, you are ready to build your AI stack.

The six frameworks that run your AI strategy.

Everything in this course distills down to six frameworks. Master these and you can evaluate any AI tool, make any AI investment decision, and measure any AI implementation — for the rest of your career.

1. The ROI Formula

Calculate the financial return of any AI investment. Includes all seven cost categories. Use conservative estimates. If the math does not work, do not buy the tool.

2. The 3-Factor Score

Time Spent x 0.3 + Repetitiveness x 0.4 + Pain x 0.3, multiplied by 20. Rank every business area. Start with the highest score. Stop arguing about opinions.

3. The Build vs Buy Matrix

Five factors — Uniqueness, Budget, Technical Capability, Speed, Data Sensitivity. Score each 1-5. Total determines whether to Build, Buy, Hire, or Wait.

4. The Four Success Metrics

Time Saved, Cost Reduced, Output Increase, Quality Score. Track all four together. No single metric tells the whole story. Quality is the one most people forget.

5. The AI Capability Framework

AI Does Well, AI Can Help (with oversight), AI Cannot Do. Every task fits one category. Knowing which one before you start prevents failures and builds trust.

6. The Tool Evaluation Checklist

Six questions before adding any tool. Three deal-breakers (real problem, data safety, easy cancellation) and three nice-to-haves. If it fails any deal-breaker, stop.

What to do after you pass this quiz.

Passing the quiz means you have the knowledge. Here is how to turn knowledge into results — the five actions that separate people who "know about AI" from people who actually use it.

Action 1: Run the 3-factor score on your business this week. Take your top 5 business areas, score them, and identify your number one AI opportunity. Do not skip this step. Everything else depends on knowing where to start.

Action 2: Start your first week plan on Monday. Follow the 5-day plan from Lesson 7. One tool, one result per day. By Friday you will have real data — hours saved, content created, workflows automated — not just theory.

Action 3: Calculate ROI on your first tool within 30 days. Use the ROI formula with all seven cost categories. Compare your projection to actuals. Adjust your automation rate estimate based on real data. This calibrates your judgment for every future AI decision.

Action 4: Write your AI policy within 60 days. Use the 8-section template and the 30-day rollout plan. You do not need a lawyer for the first draft — you need clarity. Legal review comes after you have a working document. Do not let perfect be the enemy of good.

Action 5: Set up your measurement tracker within 90 days. All four metrics, tracked weekly. The tracker from Lesson 9 takes 10 minutes to set up and 5 minutes per week to maintain. At 90 days, you will have a dataset that tells you exactly where AI is working, where it is not, and what to do next.

From "should we use AI" to "how do we use AI well."

The question is no longer whether AI will affect your business. It already has — your competitors are using it, your customers expect it, and the tools are accessible enough that any business can start today for $20/month. The only question left is whether you will be intentional about it or let it happen by accident.

Intentional AI adoption means: you chose the right starting point based on data (Lesson 4), you calculated the ROI before spending money (Lesson 3), you built safeguards with a policy (Lesson 8), you measure what matters (Lesson 9), and you scale based on evidence (Lesson 7). Accidental AI adoption means: someone on your team is already pasting client data into free tools without guardrails, and you do not know about it yet.

This course gave you every framework you need. The ROI formula prevents bad investments. The 3-factor score prevents bad starting points. The build-vs-buy matrix prevents bad strategy. The four success metrics prevent blind spots. The policy template prevents risk. The tool landscape prevents overwhelm. The first-week plan prevents paralysis.

The gap between knowing and doing is where most people get stuck. Do not be most people. Pick your first action from the list above and do it this week. Not next week. Not "when things calm down." This week. The compound effect of AI adoption — like compound interest — only works if you start.

One final thought: the businesses that will thrive in the next decade are not the ones with the biggest AI budgets. They are the ones that learned the frameworks, started small, measured what mattered, and scaled based on evidence. You now have every framework you need. The only variable left is action.

If you completed this course and passed this quiz, you know more about practical business AI adoption than 95% of business owners. That knowledge is an advantage — but only if you use it. The AI tools landscape will keep changing. New models will launch. Prices will drop. Features will expand. But the frameworks in this course — ROI calculation, opportunity scoring, build-vs-buy analysis, policy design, metric tracking — those are permanent. They work regardless of which specific tools exist because they are rooted in business fundamentals, not technology trends.

Congratulations on completing the Business AI course. Now go build something with what you learned.

Want to go deeper? The AI for Business course covers the foundations. If you want to master specific skills — writing better prompts, automating complex workflows, building AI-powered products, or understanding the technology behind the tools — explore the other courses in the Like One Academy. Each course builds on the frameworks you learned here and takes you deeper into the specific skill that matters most for your role.

Share what you build. The best way to solidify your learning is to teach someone else. Share one framework from this course with a colleague this week. Explain the ROI formula to your finance team. Walk your marketing department through the AI capability categories. Teach your operations manager the 3-factor scoring method. Every person you teach becomes a force multiplier for AI adoption in your organization.

Bookmark this course. You will come back to it. Not because you forgot — but because each lesson becomes more valuable as your AI experience grows. The ROI calculator you used to evaluate your first $20 tool is the same calculator you will use to evaluate a $50,000 platform decision in two years. The policy template you wrote for 5 employees is the same structure you will scale to 50. The frameworks are permanent. Your application of them will keep deepening.

Retake this quiz in 90 days. After three months of hands-on AI experience, the questions will feel different — easier, but also deeper. You will recognize the scenarios because you will have lived them. The questions that seemed abstract will feel personal. That shift from theory to experience is the mark of real AI fluency. Schedule a calendar reminder now. Future you will appreciate it.

One last number to remember: the average business owner who completes this course and follows the first-week plan saves 5-10 hours in their first week and $500-2,000 in their first month. The course costs less than one hour of most consultants' time. The ROI formula you learned in Lesson 3 works on courses too — and this one passes the math easily. Now go prove it with your own numbers.

The AI landscape will continue evolving. New tools will launch. Capabilities will expand. Costs will drop. But the fundamentals of business AI adoption — measuring ROI, identifying opportunities, managing risk through policy, and tracking success through metrics — those are permanent. You now own those fundamentals. They will serve you regardless of which specific tools exist next year or the year after. That is the real value of this course: not the tools of today, but the frameworks for every tomorrow.

These pairings test whether you can apply course concepts to real situations. Get these right and the quiz will feel straightforward.

Ten questions. No time limit. Think it through.

This is the capstone assessment for the Business AI course. Each question is scenario-based — there is no memorization required. Read the scenario, apply what you have learned, and pick the best answer. Detailed explanations follow every question so you can understand any mistake immediately and carry the lesson forward.

Scoring guide: 9-10 correct means you are ready to implement AI in your business with confidence. 7-8 correct means you understand the core concepts but should revisit 1-2 specific lessons. 5-6 correct means you have the foundation but need more practice with the frameworks. Below 5 means you should re-take the course — focus on the ROI calculator, build-vs-buy matrix, and the four success metrics, which form the backbone of every other lesson.

How to use your results: After completing the quiz, note which questions you got wrong. Each wrong answer maps to a specific lesson. Go back to that lesson, re-read the framework that applies, and try the question again. Understanding why an answer is correct matters more than getting a high score on the first attempt.

All 5 files are complete. Summary of what was written: - **ai-tools-landscape.md** (Lesson 6) — 8-category tool landscape with FlashDeck (8 cards), MatchConnect (8 pairs), 5-question scenario QuizMC, and SortStack for adoption order. Real tools with real prices throughout. - **your-first-week-with-ai.md** (Lesson 7) — 5-day plan with FlashDeck (5 day cards), SortStack (sequencing logic), 5-question mistake-spotting QuizMC, and MatchConnect pairing days to primary goals. - **ai-policy-template.md** (Lesson 8) — Policy framework with real incident examples (Samsung, legal hallucinations), FlashDeck (8 policy sections with clause examples), MatchConnect (scenarios to sections), SortStack (implementation order), and 5-question judgment QuizMC. - **measuring-ai-success.md** (Lesson 9) — 4-metric ROI framework with FlashDeck (metrics with benchmarks), MatchConnect (scenarios to metrics), SortStack (tracking difficulty order), and 5-question interpretation QuizMC including a math problem. - **business-ai-quiz.md** (Lesson 10, type: "quiz") — 10-question capstone with ROI math, build vs. buy, vendor evaluation, policy judgment, measurement interpretation, and implementation sequencing. All JSON valid with detailed explanations per question.
🔒

This lesson is for Pro members

Unlock all 520+ lessons across 52 courses with Academy Pro.

Already a member? Sign in to access your lessons.

Academy
Built with soul — likeone.ai