AI Monetisation
AI Product Monetisation
AI products challenge traditional SaaS pricing assumptions. Marginal costs are higher and less predictable. Value delivery is probabilistic. Usage patterns are harder to forecast. The standard seat-based or flat-rate models often fail to capture value or protect margins.
We help companies design monetisation models specifically for AI products, balancing customer value capture with the economic realities of inference costs, model complexity, and unpredictable usage.
What we focus on
- Designing pricing models that account for variable inference and compute costs
- Identifying value metrics for AI features where outcomes are probabilistic
- Structuring AI feature access across tiers without creating margin erosion
- Evaluating credit-based, outcome-based, and consumption-based models for AI workloads
Outcomes
Companies with purpose-built AI monetisation models achieve stronger alignment between product value and pricing, protect gross margins as AI usage scales, and build pricing structures that customers perceive as fair and predictable.
Next step
Before committing capital, changing pricing, or restructuring product teams — let's talk.
We will be direct about whether an engagement is the right answer, and what scope would make it useful.