Revenue design is how companies grow in the AI age

As margins become more volatile, value becomes harder to define and decisions become more complex. Companies are under pressure to price for growth—fast.

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Fal logo
Glean logo
Neo4j logo
Vercel logo
Replit logo
Supabase logo
Redis
LaunchDarkly logo
Fal logo
Glean logo
Neo4j logo
Vercel logo
Replit logo
Supabase logo
Redis
LaunchDarkly logo
Fal logo
Glean logo
Neo4j logo
Vercel logo
Replit logo
Supabase logo
Redis
LaunchDarkly logo

New Opportunities

Companies that nail pricing are winning

AI brings new opportunities to monetize creatively, and it’s becoming a key strategic advantage.

  • New value metrics raise the bar for communicating ROI
  • New models mean more monetization models to explore
  • Real-time data means faster velocity and instant visibility

New Challenges

But pricing is more complex than ever

As pricing moves from static object to a living, breathing strategy canvas, it requires new processes to support.

  • More data makes pricing highly technical and raises the bar for visibility
  • More pressure from board members and executives to show strategic thinking around pricing
  • More cooks in the kitchen: pricing is a top line priority, and everyone is involved

Pricing’s broken relay race

Pricing is everyone’s problem. But nobody’s domain.

Pricing is full of dependencies and handoffs. And if any part of the system delays or fails, the team is left without a complete view of the pricing problem.

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Finance teams

Steer the company toward profit

Finance must ensure that billing and collections run seamlessly while defining the guardrails for growth strategy and profitability.

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Product teams

Experiment to translate usage into value

Product must balance finding monetization metrics that drive ROI for products shipped, while ensuring that customers understand the clear value for the price.

Smooth baton passes

Revenue design is how teams tackle pricing strategically

By organizing the full team within a shared canvas for revenue data, teams can make faster, more data-driven decisions about pricing and execute them seamlessly.

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Automate billing

Keep data accessible and revenue systems in sync

Create one of truth for product and revenue data to build systems that make setting value metrics, calculating invoices, and running collections frictionless.

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Execute pricing

Establish swim lanes to drive speed and clarity

Build clear cross-functional workflows for setting data-driven pricing strategy, communicating value, and iterating on pricing.

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Grow revenue

Leverage data to find key monetization moments

Real-time data can support more than billing. Simulate and optimize price models, identify opportunities to upsell, and chart your path to profit.

Outdated revenue
stacks
can’t keep up

See how AI companies are building modern usage-based billing