AI for billing, billing for AI: transforming revenue management dynamics
Operators are transforming their billing systems to embrace AI, but it’s a complicated process with many challenges
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Communications service providers (CSPs) are transforming their billing systems to embrace AI, but it’s a complicated process and there are many challenges ahead. The wider end goal is the creation of fully AI-native business support systems (BSS) that transform revenue management as well as business operations and customer management.
The step-by- step task of shifting from traditional billing systems toward AI-native monetization platforms involves major changes in enterprise architectures, operating models, business processes and digital capabilities. But some operators are already making strides and seeing the benefits.
In this report, we look at near-term use cases to kickstart the use of AI in billing and wider revenue management, as well as longer term considerations for AI-native BSS architectures. And we look at how CSPs are having to adapt to billing for AI, delivering real-time consumption and outcome-based billing capabilities.
Read this report to learn more about:
- The near-term use cases for AI in billing – how AI can be applied and the benefits to operators
- Examples of CSPs that have already achieved results deploying some of these use cases
- TM Forum’s AI-Native BSS transformation vision and what it might mean for telco billing architectures
- Billing for AI consumption and outcomes
- The two sides of token consumption and monetization
- What billing for outcomes might look like.





