Framework for Prioritizing AI Initiatives
A key question that keeps coming up is: “How do I know which AI projects are worth pursuing?”
Here’s a practical framework to help you find and prioritize AI initiatives that will actually move the needle for your business.
Step 1: Assess Project Potential (MAP Analysis)
Before diving into any AI project, we need to evaluate whether we have the right foundation for success. The MAP analysis helps you determine if an AI project is viable by examining three crucial elements that many small businesses overlook. Let’s break these down with some practical examples.
M – Materials
- What information and resources do you have available?
- Example: A wedding photographer has years of client emails, pricing discussions, and FAQ responses
A – Ability
- Do you or your team understand the process well enough to guide AI?
- Example: A solo consultant knows exactly how they qualify leads through email exchanges
P – Process
- Is there a consistent pattern to how the work gets done?
- Example: A real estate agent follows the same steps to create property listings
Step 2: Rate Project Impact (WIN Evaluation)
Once you’ve identified potential AI projects using the MAP analysis, it’s time to prioritize them based on practical business impact. The WIN evaluation helps you focus on projects that will deliver real value without overwhelming your resources. Here’s how to assess each component.
W – Workable
- Can you implement this with your current tools and budget?
- Example: Using ChatGPT ($20/month) to draft social media posts is workable for most small businesses
I – Impact
- Will this significantly improve your business operations?
- Example: Automating customer inquiry responses could save a small online store owner 2 hours daily
N – Now
- Can you implement this quickly and see results?
- Example: Setting up AI email templates could be completed in one afternoon
Real-World Applications
High-Potential AI Projects:
- Customer Service Automation
- MAP Score: High
- Materials: Existing FAQ documents and common customer questions
- Ability: Clear understanding of customer needs
- Process: Consistent response patterns
- WIN Score: High
- Workable: Can be implemented with basic AI tools
- Impact: Saves significant time
- Now: Quick to set up
- MAP Score: High
- Content Creation Support
- MAP Score: High
- Materials: Past content and brand guidelines
- Ability: Know your brand voice
- Process: Regular content needs
- WIN Score: High
- Workable: Available through various AI writing tools
- Impact: Speeds up content production
- Now: Immediate implementation possible
- MAP Score: High
Lower-Potential Projects:
- Full Sales Process Automation
- MAP Score: Low
- Materials: Scattered sales data
- Ability: Complex, personalized process
- Process: Varies significantly by client
- WIN Score: Low
- Workable: Requires extensive customization
- Impact: Risk of losing personal touch
- Now: Long implementation time
- MAP Score: Low
Implementation Tips
- Start Small
- Begin with one specific task
- Example: A real estate agent could set up a simple automation where property listing photos are automatically uploaded to a folder, triggering ChatGPT or Claude to generate property descriptions. The AI-crafted descriptions are then sent to the agent for review before being posted to their website. This saves hours of writing time while maintaining quality control.
- Test and Adjust
- Run pilot projects for 2-3 weeks
- Gather feedback from team and customers
- Make adjustments before full implementation
- Measure Results
- Track time saved
- Monitor quality of AI outputs
- Document cost savings
Success Checklist
✓ Does this project solve a real business problem?
✓ Can you implement it with minimal disruption?
✓ Will you see results within 30 days?
✓ Is it within your current budget?
✓ Do you have the necessary information to start?
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