Developing the GenAI Capabilities to Win
Product Economics Analytics Best Practices
Workshop
Cost Blindness Is Product Risk
This workshop provides leaders with a clear, practical understanding of how to evaluate the economics of GenAI-powered products. It helps organizations move beyond experimentation by clarifying where value is created, how costs accrue, and how economics should inform product decisions.
To win, leaders need more than promising
GenAI ideas—they need economic clarity that enables confident product investment and prioritization.
The Challenge
Leaders struggle to make confident GenAI product decisions when the economics are unclear or fragmented:
- Unclear value drivers – Teams lack a shared view of what truly drives GenAI product value, leading to misaligned priorities and weak business cases.
- Cost opacity – Costs are spread across teams and data sources, making it difficult to understand true product economics.
- Disconnected analytics ownership – Roles and responsibilities for economic analysis are undefined, slowing decision-making.
- Ad hoc decision models – Product decisions rely on intuition or incomplete data rather than consistent economic frameworks.
Without a structured approach to product economics, GenAI investments risk underperforming or stalling at scale.
Our Solution
A fast-paced, leadership-oriented working session designed to clarify GenAI product economics, align stakeholders, and define actionable next steps.
- 1:1 Discovery Sessions – Short, executive-level conversations to understand current GenAI initiatives, decision pressures, and economic blind spots.
- Product Economics Analytics Scan – A lightweight assessment to baseline how GenAI product value and costs are currently understood and measured.
- Executive Briefs – Decision-oriented briefs that outline practical approaches to evaluating GenAI product economics in your business context.
- 2-Hour Group Working Session – A facilitated session to align leaders on value drivers, cost structures, and how economics should guide product decisions.
- Recommended Next Steps – Clear priority actions to strengthen economic visibility and decision discipline across GenAI products.
Establishing a shared economic foundation for confident, value-driven GenAI product decisions.
Area of Focus
- Introducing the economics of GenAI productization
- Identifying core drivers of GenAI product value
- Mapping data sources for cost and value analysis
- Defining roles and responsibilities in analytics
- Framing economic models to support product decisions
Participants Will
- Align on GenAI product economics – Establish a shared understanding of how GenAI creates value and incurs cost.
- Clarify core value drivers – Identify the primary levers that determine GenAI product success.
- Map critical data inputs – Define the data sources required to assess costs and value consistently.
- Define analytics ownership – Clarify roles and responsibilities for product economics analysis.
- Frame decision-ready models – Outline practical economic models to support product investment and prioritization.
- Prioritize next actions – Agree on immediate steps to improve economic insight and decision quality.
Who Should Attend:
Solution Essentials
Format
Virtual or in-person
Duration
2 hours
Skill Level
Beginner to Advanced (non-technical friendly)
Tools
Optional, lightweight templates and worksheets to support discussion and decision-making