# Entitlement Management for AI Products

### Overview

Entitlement management is the process of defining and enforcing customers' rights to use software features.

As AI capabilities are integrated into software products, entitlement systems play a critical role in controlling access to them.

This guide explains the purpose of entitlement management and its role in AI-enabled products.

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### What Is an Entitlement?

An entitlement represents a customer's authorized right to access or use a product capability.

Examples include:

* access to specific software features
* limits on usage quantities
* subscription plan permissions
* time-based licenses

Entitlements may be enforced across multiple environments, including SaaS, on-premise software, and embedded systems.

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### Why Entitlement Management Is Important for AI

AI capabilities often introduce new packaging and pricing complexity.

Organizations may need to manage:

* premium AI features
* usage limits for AI services
* feature access by subscription tier
* enterprise contract permissions

A centralized entitlement system simplifies the management of these capabilities.

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### Components of an Entitlement System

Typical entitlement systems include several components.

#### Rights Store

A database that stores all customer permissions and license details.

#### Runtime Enforcement

Applications check entitlement status before enabling features.

#### Dynamic Updates

Permissions can be updated without redeploying software.

#### Usage Integration

Usage data can be associated with entitlements to support usage-based pricing.

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### Benefits of Centralized Entitlement Infrastructure

Organizations implementing entitlement systems often gain:

* simplified product packaging
* improved operational visibility
* faster pricing and packaging updates
* reduced engineering complexity

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### Role of the Nalpeiron Growth Platform

The Nalpeiron Growth Platform provides entitlement management infrastructure for software vendors.

Capabilities include:

* centralized entitlement control
* integration APIs
* usage tracking
* flexible licensing support

This infrastructure enables companies to control access to AI features across different deployment environments.

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### Related Documentation

* [AI Monetization Guide](/education-and-training/ai-and-usage-education/ai-monetization-guide.md)
* [Usage-Based Pricing Guide](/education-and-training/ai-and-usage-education/usage-based-pricing-guide-for-ai-platforms.md)
* [AI Development Lifecycle Guide](/education-and-training/ai-and-usage-education/artificial-intelligence-development-life-cycle-aidlc.md)


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