As GenAI solutions grow, cost surprises can quickly undermine margins, pricing plans, and roadmap choices. This workshop helps teams break down true cost drivers, estimate cost per use case or transaction, and model how costs change as usage scales—so leaders can make smarter decisions on pricing, packaging, and investment.
If you can’t explain your cost-to-serve, you can’t defend your roadmap or your pricing.
Teams often try to scale GenAI solutions without a clear, shared view of what’s driving cost.
- Hidden cost drivers: Important cost contributors are buried across vendors, environments, and usage patterns—making costs hard to explain or manage.
- Unclear unit economics: Without a cost-per-transaction (or cost-per-use-case) view, it’s difficult to judge profitability or prioritize improvements.
- Scaling surprises by tier: What looks affordable in early usage can become unsustainable as adoption grows or higher tiers consume more.
The result is pricing and roadmap decisions made with incomplete cost visibility—until margins get squeezed.
We guide a structured working session to translate cost complexity into decision-ready economics.
- Cost Structure Baseline: Establish a shared view of the major cost categories and assumptions that define cost-to-serve.
- Unit Cost Estimation: Build a practical cost-per-transaction or cost-per-use-case estimate to support profitability decisions.
- Direct vs. Indirect Driver Mapping: Separate controllable drivers from overhead contributors so teams know where to focus optimization.
- Tier Scalability Modeling: Project how costs change across tiers and growth levels to anticipate margin pressure early.
- Forecast Scenario Validation: Stress-test costs under realistic scenarios so leaders can plan pricing, packaging, and investment with confidence.
- Modeling Infrastructure and LLM Cost Structures
- Estimating Cost per Use Case or Transaction
- Categorizing Direct vs. Indirect Cost Drivers
- Projecting Cost Scalability by Tier
- Validating Costs with Forecasting Scenarios
- Produce a clear breakdown of key cost drivers and the assumptions behind them
- Create an initial unit-cost view (per transaction or use case) that can be used for decision-making
- Identify the biggest cost pressure points and the most practical levers to reduce or control them
- Develop tier-based cost projections that highlight where scaling risk is highest
Leave with a decision-ready set of cost scenarios to inform roadmap prioritization and pricing discussions
Who Should Attend:
Solution Essentials
Facilitated, discussion-driven working session with structured exercises
4 hours
Intermediate
Standard collaboration tools (shared docs/whiteboard and spreadsheets)