A Unified Licensing Layer for AI and Non-AI Features
AI capabilities should not create a separate entitlement architecture next to the existing software licensing model. In many products, AI execution is handled by specialized AI providers, model APIs or backend services. However, the commercial decision of whether a customer is allowed to use a specific AI capability should follow the same licensing logic as the rest of the product.
SLASCONE provides this unified entitlement layer. Your application can check AI access, edition rights, add-ons and usage-related permissions through the same licensing channel used for traditional product features. This avoids fragmented license logic, reduces integration complexity and gives software vendors a consistent view of both AI and non-AI capabilities.
Where deeper AI governance is required, this entitlement layer can be complemented by AI-specific control mechanisms in the background, such as provider routing, API key handling, model access policies, token monitoring, budget tracking and cost visibility.
AI ENTITLEMENT SCENARIOS
AI Feature Entitlements
Enable or disable AI capabilities such as chat, summarization, classification, code generation or agent workflows by edition, add-on, customer or license.
Request-Based Usage Rights
Define request-based usage rights as part of the license model. Technical enforcement can remain in the application backend, AI provider configuration or a dedicated AI control layer.
Token-Based Usage Rights
Model token-based quotas, usage rights or commercial policies as part of the customer’s license. Token counting and provider-specific controls can be handled in the AI execution layer.
AI Credits and Usage Rights
Package AI usage through monthly quotas, pooled credits, prepaid capacity or controlled overage models across products, teams, users or tenants.
Model and Workflow Access
Define which models, premium AI capabilities, agent workflows or automated actions are available to each customer, edition or add-on package.
AI Usage Visibility
Track AI adoption, request volumes, token consumption, usage patterns and monetization potential across customers, editions and features.
HOW SLASCONE CONNECTS AI TO YOUR LICENSING MODEL
Unified AI Entitlement Management
Manage which AI capabilities each customer is entitled to use:
- AI chat, summarization, extraction or generation
- One licensing model for AI and non-AI product features
- Consistent entitlement checks through the SLASCONE API
Usage Rights and Provider Context
Connect commercial usage rights with provider-specific execution:
- Request-based entitlements and usage policies
- Token-related quotas or commercial limits
- Different rules for standard and premium AI capabilities
Cost-Aware AI Usage Policies
Support cost-aware AI packaging and backend behavior:
- Burst allowances as part of the commercial model
- Concurrency policies for expensive AI operations
- Application-side behavior when limits are reached
Usage Insights
Understand how AI capabilities are adopted and consumed:
- Feature adoption by customer and edition
- Request, token or credit-related usage over time
- Top consumers and unusual usage patterns
Explore Use Cases
AI licensing is relevant across different software architectures and deployment models.
In each scenario, SLASCONE provides the entitlement layer while your backend or AI infrastructure handles provider-specific execution.
SaaS Vendors
Software Vendors
