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AI Agent Masterclass - Session 2

New article articles in ServiceNow Community · Jan 17, 2026 · article

AI Agent Masterclass • Session 2

Turning Good Ideas into Great Agents

Use Cases & Roadmap

← Back to Masterclass Overview

Date

16 December 2025

Duration

60 minutes

Speakers

Timo Weber, Joost van Poppel, Thomas Geering, Javier Lombana Dominguez, Pierre Arshad, Daniel Paschek

🎬 Watch Recording & Resources

🎯 Key Takeaways

  • 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.

⚠️ AI HYPE

  • Overpromised capabilities
  • Unclear ROI
  • Stuck in POC land
  • Skills gaps

✅ BUSINESS VALUE

  • 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.

1

Business Goals

Define high-level objectives tied to business outcomes

2

Stakeholders

Identify who's involved and impacted

3

Pain Points

Understand current challenges and friction

4

KPIs

Define measurable success criteria

5

Use Cases

Define AI-powered solutions (Search, Summarize, Agents)

6

Prioritize

Filter → Score → Plot → Calculate ROI

Use Case Prioritization

Not all use cases are created equal. Our 4-step prioritization process helps you focus on what matters:

Step 1: Quick Filter (3 Checks)

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?

Step 2: Scoring Matrix (10 Criteria)

Score each use case on Value (5 criteria) and Feasibility (5 criteria):

💰 Value Criteria

  • Business Impact
  • User Experience Impact
  • Strategic Alignment
  • Time-to-Value
  • Scalability Potential

⚙️ Feasibility Criteria

  • Technical Complexity
  • Data Readiness
  • Integration Effort
  • Change Management
  • Resource Availability

Step 3: 2x2 Matrix

Plot your scored use cases to identify priorities:

🏆 HOME RUNS

High Value + High Feasibility

→ Do First!

💎 DIAMONDS

High Value + Low Feasibility

→ Plan & Invest

🥇 GOLD

Low Value + High Feasibility

→ Quick Wins

⏸️ PARK

Low Value + Low Feasibility

→ Revisit Later

Step 4: ROI Calculation

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

Example ROI

$656,000

Annual value from IT Incident Triage automation

26,000 hours saved per year

🚀 Your Next Steps

  • 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

📚 Resources

← Previous: Session 1 Overview Next: Session 3 - Blueprint to Build →

Last updated: January 2026

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