Pricing for AI Products

We help design pricing for AI products that scales with both token cost and solution value.
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We help AI Products create winning pricing and packaging strategies.

From generative chat to enterprise LLM’s, agentic IoT and AI Executive Coaching - we’ve done pricing for AI since before AI took center stage. Both as standalone products and as integrated functionality in existing offerings. 

Our clients often face a host of challenges with monetizing AI: the need for speed to market combined with high costs and unknown usage patterns creates a need for pricing that both manages to entice customers to use and monetizes the value delivered - while also covering real infrastructure costs. 

We often help with:

  • AI Strategy: clarity of AI risks, opportunities and priorities both short and long term. 
  • Pricing new AI Products: design pricing for wholly new AI powered use cases.
  • Pricing AI Features: integrate AI pricing in existing offerings.
  • Drive Adoption: design pricing and packaging to drive adoption of AI functionality.
  • Cross & Upselling AI: pricing that drives cross- & upselling to existing customer base.
  • Agentic Pricing: design pricing based on outcomes and ‘work performed’.
  • Cost Covering: ensure profitability of AI at any scale and edge case.
  • Enterprise Negotiations: escape procurement focus on cost-plus pricing.
  • Contract Terms: design terms that allow flexibility of future AI roadmap.

Issues we often deal with:

  • No Baseline Data: new products have no baseline data.
  • Unknown Value: unknown value and usage pattern of AI solution.
  • Unknown Costs: Unknown and shifting token cost structures.
  • Unknown edge cases: cost driving edge cases and unfair usage.
  • Usage based Pricing: Shifting to usage based and variable billing.
  • Vendor Stacking: multiple vendors in a single customer facing delivery.
  • Liability: unknown liability of customers' usage of AI.
  • Core Business Disrupted: AI opportunity disrupts core business model
  • Need for Speed: very short window of AI opportunity
  • No Moats: indefensible position even if initially successful. 

Recent

AI Products

Projects

US HR-Tech

Pricing Redesign & Implementation
$100-500M ARR:

Global Med-Tech

7x Products & Group Level Pricing Function
$1B+ REVENUE:
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[Without Willingness To Pay] It would have taken a longer time. We would probably have made some mistakes along the way. To have someone that was obviously qualified to guide us through it - it just made sense.
Haukur Hannesson
,
CEO
AGRInventory
Willingness To Pay sees the full scope. So it's not just moving the pricing model or something else. They explains why this or that is the best way forward. There were no gaps in the story.
Haukur Hannesson
,
CEO
AGRInventory
We raised prices but still felt like there was this much more significant, structural change that we needed. That we'd left money on the table.
Markus
,
CCO

Rethink how much you charge.

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