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3 weeks ago - edited 3 weeks ago
Turning Good Ideas into Great Agents
Use Cases & Roadmap
← Back to Masterclass Overview
- The Implementation Gap: Many organizations are stuck between AI Hype and Business Value – the ChAIn of GAIn framework bridges this gap
- 6-Step Framework: Business Goals → Stakeholders → Pain Points → KPIs → Use Cases → Prioritization
- Data Readiness: Your data doesn't need to be perfect enterprise-wide – it just needs to be good enough for your specific use case
- Focus on Home Runs: Use the 2x2 Matrix to identify high-value, high-feasibility use cases first
The Implementation Gap
Every organization faces the same challenge: there's a massive gap between the AI hype and actual business value. POCs get stuck, pilots don't scale, and promising ideas never make it to production.
- Overpromised capabilities
- Unclear ROI
- Stuck in POC land
- Skills gaps
- Measurable outcomes
- Scaled deployment
- Competitive edge
- Workforce augmented
The bridge? A strategic, structured approach to identifying and prioritizing AI use cases.
The ChAIn of GAIn Framework
Our 6-step framework ensures you're building the right AI Agents for the right reasons. It's structured as 4+2: four steps to understand your landscape, then two steps to define and prioritize.
Use Case Prioritization
Not all use cases are created equal. Our 4-step prioritization process helps you focus on what matters:
Before deep analysis, quickly eliminate non-starters:
- ✓ Business Alignment: Does it support a strategic goal?
- ✓ Technical Feasibility: Can it be done with available tech?
- ✓ Data Availability: Is the required data accessible?
Score each use case on Value (5 criteria) and Feasibility (5 criteria):
- Business Impact
- User Experience Impact
- Strategic Alignment
- Time-to-Value
- Scalability Potential
- Technical Complexity
- Data Readiness
- Integration Effort
- Change Management
- Resource Availability
Plot your scored use cases to identify priorities:
For your top candidates, calculate detailed ROI including time savings, error reduction, and productivity gains.
Gold & Diamonds: A Strategic Choice
Thomas Geering's insight: "Don't just chase the easy wins. Sometimes the 'Diamonds' – high value but harder to achieve – are worth the investment. The key is balance: use Gold for momentum, Diamonds for transformation."
Your portfolio should include:
- Gold (Quick Wins): Build confidence and momentum. Show value fast.
- Diamonds (Strategic Bets): Transform the business. Worth the extra effort.
- Home Runs: The best of both worlds. Start here when possible.
Data Readiness: The Truth
Key insight: Your data doesn't need to be perfect everywhere. It just needs to be good enough for your specific use case. Stop waiting for enterprise-wide data perfection – it will never come.
Ask these questions for each use case:
- Is the data for this specific process available?
- Is it structured or can it be structured?
- What's the effort to clean it up for this use case?
- Can we start with a subset and expand?
Practical Example: IT Incident Triage
Let's walk through the framework with a real example:
| Step | Example |
|---|---|
| 1. Business Goal | Reduce MTTR by 15% in 90 days |
| 2. Stakeholders | Problem Manager, L1/L2/L3 Support, Change Manager |
| 3. Pain Points | Lengthy triage time, re-opened tickets, escalation delays |
| 4. KPIs | Triage time, First Time Resolution, Re-open rate |
| 5. Use Cases | AI Search, Incident Triage Agent, Transfer Summarization |
| 6. Prioritization | Triage Agent: Score 45/50, Home Run quadrant |
- Apply the Framework: Start with one business goal and work through all 6 steps
- Download the Templates: Use our Scoring Matrix and Value Calculator (links below)
- Continue Your Journey: Proceed to Session 3 to learn how to actually build AI Agents
Last updated: January 2026
