Entitlements & credits for AI products: stop hardcoding pricing

How do you implement entitlements, enforce limits, provide transparent spend caps, manage credit balances, and iterate as you learn without code changes?

Seats and simple plan checks are no longer enough. Developers now need to consider how to enforce commercial policy in real-time, while also ensuring no-code iteration across credit grants, usage thresholds, model access, trials, custom enterprise deals, exceptions, plan versions, and customer migrations.

If those rules are hardcoded into your product, every pricing change becomes an engineering project. If you build your own enforcement infrastructure that relies on webhooks from Stripe or Metronome to update customer state, you put your customers at risk for surprise overage bills or revoked access.

In this session, Stripe and Schematic will walk through how product and engineering teams should implement entitlements for AI products from the start.

We’ll cover how to decouple entitlements from code, manage customer state, and enforce commercial policy in real time – all on top of Stripe Billing.

You should attend if:

1. You’re building AI features with usage limits, credits, agents, or model-based packaging.
2. Your pricing is evolving faster than your codebase can keep up.
3. You support custom enterprise deals, overrides, trials, or grandfathered plans.
4. You’re worried about runaway AI spend, surprise customer bills, or margin leakage.
5. You want Stripe Billing to power your pricing without turning your product code into billing infrastructure.

You’ll leave with a practical architecture for managing AI product entitlements on Stripe Billing, with Schematic as the runtime control layer that keeps access, usage, and customer experience aligned as your pricing changes.