How to Pick Your First 3 AI Use-Cases (and Win Early)
For SMB leaders who want real results—without tool sprawl or science projects.
Why this guide exists
Most companies suffer from decision paralysis with AI—too many options, no clear implementation strategy.
This guide gives you a simple, repeatable way to select your first three AI initiatives, prove them quickly, and stop the rest—without drama.
You'll learn a human-centered method that puts outcomes before tools, adds AI to the work your people already do (rather than replacing them), and builds evidence in weeks, not months.
Human-Centered Shortlist
3 AI opportunities that amplify your team's strengths while delivering measurable value
Success Partnership
Clear criteria for AI-human collaboration that preserves what makes your team unique
Confidence Builder
A two-week proof that builds trust through evidence, not promises
In just 60–90 minutes, you'll transform from AI uncertainty to confident action—with a clear path that honors your team's humanity while unlocking AI's potential.
What "ai-human" means here
Our approach is human-centered AI value transformation—a methodology that honors what makes your team uniquely valuable while amplifying their capabilities through thoughtful AI partnership.
- 1
Begin with your business aspirations. We start by understanding what success means to you and your team, then find AI tools that serve those goals—never the other way around.
- 2
Amplify human brilliance, don't replace it. AI becomes your team's thinking partner, handling analytical heavy lifting while humans guide strategy, creativity, and relationship building.
- 3
Focus on one meaningful outcome at a time. Each AI initiative gets a single, clear success metric that everyone understands—creating shared confidence in what we're building together.
- 4
Build trust through evidence, not promises. We move in careful stages—first proving value in small ways, then expanding what works while learning from what doesn't.
- 5
Create clarity before we create anything. By defining success boundaries and completion criteria upfront, we ensure everyone knows what good looks like and when we've achieved it.
These principles guide every recommendation in this guide—they're the foundation for AI partnerships that grow stronger over time.
AI Project Prioritization Matrix
Rate each project on impact and urgency to see what you should tackle first:
AI Project Prioritization Matrix
Rate each project on impact and urgency to see what you should tackle first.
AI email responses and follow-ups
How much will this help your business?
How soon do you need this?
Auto-generate proposals and documents
How much will this help your business?
How soon do you need this?
Rate at least 2 projects to see your matrix
Need help with prioritization? If you're unsure how to rate impact and urgency, or want expert guidance on your AI strategy, we can help you through a consultation call.
Quick Implementation Tips
Start with Must Do Projects
Focus on your high-impact, high-urgency projects first. Pick the easiest one to implement to build momentum and prove value quickly.
Avoid These Mistakes
Don't try to tackle everything at once. Don't skip the "who reviews AI output" step. Don't measure activity—measure business impact.
The 2-Week Test
Week 1: Set up, train 2-3 people, start using. Week 2: Measure results, gather feedback. Decision: Keep going, stop, or adjust scope.
Need Help with Prioritization?
If you're unsure how to rate impact and urgency, or want expert guidance on your AI strategy, we can help you through a consultation call.