Recommended use-cases and examples
Recommended use-cases and examples
Recommended use-cases and examples
Use-Case Overview:
AI SDR agents are designed to automate outbound sales activities. They proactively engage prospects, send personalized outreach messages, and book meetings or demos on behalf of your sales team.
Billing Recommendations:
Example:
A SaaS company deploys an AI SDR agent to generate leads. They pay an initial setup fee to integrate the agent with their existing sales tools, a monthly platform fee for continuous operation, and an additional fee for each scheduled meeting that transitions into a sales opportunity.
Use-Case Overview:
AI chatbots serve as virtual customer support representatives, handling inquiries, providing product recommendations, and resolving issues in real time—often 24/7.
Billing Recommendations:
Example:
An e-commerce platform uses a chatbot to assist customers with order tracking and product queries. The billing is primarily usage-based—each interaction (Signal) is tracked and billed accordingly—but a small monthly subscription fee also covers the maintenance and continuous improvements of the chatbot.
Use-Case Overview:
Voice agents (phone service AI) are automated systems that handle inbound and outbound calls. They are ideal for environments like call centers, appointment scheduling, and order-taking where traditional phone support is complemented by automation.
Billing Recommendations:
Example:
A financial institution implements voice agents to manage customer inquiries and appointment bookings. They pay a monthly subscription fee for continuous service, with additional charges per call handled and extra fees for every appointment that gets scheduled as a result of the automated call.
Each billing model—whether it’s subscription, usage-based, or hybrid—offers distinct advantages depending on the AI agent’s role and the value delivered:
Choosing the right model helps ensure that you only pay for the value delivered, fostering transparency for your customers while driving efficient revenue management.