Today’s Mission
Transform your new knowledge of AI applications into a concrete action plan — identifying your top 3 AI opportunities and creating your implementation roadmap.
From Theory to Reality
Week 1, you learned to speak AI. Week 2, you saw it in action.
You’ve explored AI transforming marketing, operations, customer service, and finance. You’ve identified quick wins that deliver value in weeks. You’ve learned from spectacular failures that cost millions.
Now comes the crucial moment: Converting knowledge into action. Today isn’t about learning more — it’s about deciding what to DO with what you’ve learned.
Your Week 2 Scorecard
Rate Your Readiness (1-5):
AI Application Understanding
- Can you identify AI opportunities in marketing? [1-5]
- Can you spot operational AI potential? [1-5]
- Do you see customer service AI possibilities? [1-5]
- Can you envision AI in finance? [1-5]
Implementation Confidence
- Could you launch a quick win this month? [1-5]
- Can you calculate AI ROI? [1-5]
- Do you know what failures to avoid? [1-5]
- Could you build a business case? [1-5]
Strategic Clarity
- Do you know where to start? [1-5]
- Can you prioritize opportunities? [1-5]
- Do you understand the risks? [1-5]
- Can you see the 1-year vision? [1-5]
Your Total Score: ___/60
- 48-60: Ready to launch AI initiatives
- 36-47: Solid foundation, pick your spots
- 24-35: Focus on quick wins first
- Below 24: Review days that scored low
The Application Synthesis
What You Now Know:
Marketing AI delivers:
- 26% email open rate improvement
- 30% conversion improvement with lead scoring
- 10x content creation at 1/10th cost
Operations AI delivers:
- 20% maintenance cost reduction
- 30% quality defect reduction
- 25% supply chain cost reduction
Customer Service AI delivers:
- 30% ticket reduction
- 90% faster response times
- 20% satisfaction improvement
Finance AI delivers:
- 50% fraud loss reduction
- 70% invoice processing acceleration
- 40% forecast accuracy improvement
Quick Wins deliver:
- Results in 30 days
- Under $50K investment
- Measurable ROI
- Momentum building
Common Failures teach:
- 85% of AI projects fail
- Seven deadly sins to avoid
- Recovery is possible
- Prevention is better
Your AI Opportunity Map
Exercise 1: Identify Your Opportunities
Marketing Opportunities:
Operations Opportunities:
Customer Service Opportunities:
Finance Opportunities:
Exercise 2: Prioritization Matrix
Plot each opportunity:
High Impact
|
Q2: | Q1:
Do Next | Do First
|
-------------------------
|
Q3: | Q4:
Maybe | Don't Do
|
Low Impact
Low Effort High Effort
Your Q1 (Do First) Opportunities:
The 90-Day AI Action Plan
Days 1-30: Quick Win Sprint
Project 1: _____________________
- Current state: _____
- AI solution: _____
- Success metric: _____
- Budget needed: $_____
- Owner: _____
Project 2: _____________________
- Current state: _____
- AI solution: _____
- Success metric: _____
- Budget needed: $_____
- Owner: _____
Days 31-60: Scale Success
Expand what works:
- If Project 1 succeeds: _____
- If Project 2 succeeds: _____
- Next quick win: _____
Build capability:
- Training needed: _____
- Tools to evaluate: _____
- Team to involve: _____
Days 61-90: Strategic Foundation
Bigger bet:
- Department focus: _____
- Transformation goal: _____
- Investment case: $_____
- Expected ROI: _____
Organizational readiness:
- Change management plan: _____
- Success communication: _____
- Failure recovery plan: _____
The Business Case Builder
Choose Your Flagship AI Project:
The Opportunity:
- Problem we’re solving: _____
- Current cost/pain: $_____/year
- AI solution type: _____
- Expected improvement: ____%
The Investment:
- Build/Buy/Partner: _____
- Initial cost: $_____
- Ongoing cost: $_____/year
- Implementation time: _____ months
The Return:
- Year 1 savings/revenue: $_____
- Year 2 savings/revenue: $_____
- Year 3 savings/revenue: $_____
- Payback period: _____ months
The Risks:
- Top risk: _____ (Mitigation: _____)
- Failure impact: $_____
- Kill criteria: _____
Lessons from Week 2
Your Key Insights:
Biggest surprise from Week 2:
Most exciting opportunity you see:
Biggest risk you need to manage:
One thing you’ll do differently:
Question you still have:
The Failure Prevention Checklist
Before launching your AI initiatives, confirm:
□ Problem Worth Solving: Clear business need, not tech for tech’s sake
□ Data Ready: Quality assessed, cleaned, accessible
□ Build vs. Buy Clear: Rational decision made
□ Users Involved: Change management planned
□ Timeline Realistic: Phased approach, not big bang
□ Success Metrics Defined: Clear, measurable, agreed
□ Budget Complete: Including hidden costs
□ Failure Plan: Kill criteria and recovery plan
Your Competitive Intelligence
AI Leaders in Your Industry:
- Company: _____ (What they’re doing: _____)
- Company: _____ (What they’re doing: _____)
- Company: _____ (What they’re doing: _____)
Your Competitive Response:
- Where we’ll match: _____
- Where we’ll exceed: _____
- Where we’ll differentiate: _____
Preparing for Week 3
Next week: Leading AI Teams
You’ll learn:
- How to build an AI team
- Measuring real ROI (not vanity metrics)
- Governance and policy
- Running successful pilots
- Human + AI collaboration
- Security and privacy
Come prepared with:
- Your current team structure
- Your biggest talent gaps
- Your governance concerns
- Your pilot project ideas
Your Day 14 Challenge
The AI Implementation Commitment:
- Choose your first TWO AI initiatives:
- Initiative 1: _____ (Launch date: _____)
- Initiative 2: _____ (Launch date: _____)
- Identify your AI champion:
- Who will drive this: _____
- Their first action: _____
- Set your 30-60-90 milestones:
- 30 days: _____
- 60 days: _____
- 90 days: _____
- Make one commitment:
- By end of next week, I will: _____
Bonus points: Schedule a meeting this week to discuss AI opportunities with your team.
This Week’s Win
You’ve moved from “AI is interesting” to “Here’s exactly what we’re doing.”
You can now identify specific AI opportunities across your business. You understand the ROI potential and the risks to avoid. You have a portfolio of quick wins and strategic bets. Most importantly, you have a concrete 90-day plan.
A week ago, AI applications were theoretical. Today, you have an implementation roadmap.
Your Week 2 Certificate
Congratulations! You’ve completed AI in Action.
You can now:
- Identify AI opportunities across functions
- Calculate AI ROI
- Launch quick wins
- Avoid common failures
- Build business cases
You’re ready for Week 3: Leading AI Teams
Tomorrow: Building an AI Team
Get ready to learn the roles, skills, and structures needed to execute your AI vision. From data scientists to ethicists, you’ll understand who you need and when.
Week 2 Insight: The gap between AI leaders and laggards isn’t knowledge — it’s action. You now have both the knowledge to identify opportunities and the frameworks to pursue them safely. The only remaining question: Will you act on what you know?