
Content AI usage dashboard showing total words generated and cost tracking
How AI billing works
HoopAI uses a credit-based billing model for AI features. Every AI interaction — a chatbot message, a voice call minute, a content generation request — consumes a certain number of AI credits. Your plan includes a monthly allocation of credits, and additional usage is billed at published overage rates. Here is how the billing cycle works:Monthly credit allocation
Usage consumption
Usage alerts
Overage billing
Per-feature cost breakdown
Each AI feature consumes credits at a different rate, reflecting the underlying model costs and computational requirements.Conversation AI
Voice AI
Content AI
Reviews AI
Workflow AI (GPT actions)
Plan-level AI inclusions
The table below shows the monthly AI credit allocation for each HoopAI plan tier.Enterprise and custom plans
If your business requires higher volumes or predictable flat-rate pricing, contact the HoopAI sales team to discuss custom AI credit packages and volume discounts.Usage tracking and dashboards
HoopAI provides real-time visibility into your AI consumption so you are never surprised by your bill.Where to find your usage data
- AI usage dashboard — Navigate to Settings > Billing > AI Usage to see a summary of credits consumed, credits remaining, and a day-by-day usage chart.
- Feature-level breakdown — The dashboard breaks down consumption by feature (Conversation AI, Voice AI, Content AI, Reviews AI, Workflow AI) so you can see exactly where credits are going.
- Per-agent metrics — For Conversation AI and Voice AI, drill into individual agent usage to identify your highest-consuming agents.
- Conversation AI dashboard — The dedicated Conversation AI dashboard includes AI-specific metrics alongside conversation volume and resolution rates.
Setting up usage alerts
Go to billing settings
Configure alert thresholds
Choose notification channels
Cost optimization tips
Keeping your AI costs under control does not mean using AI less — it means using it smarter. Here are proven strategies.1. Write focused prompts
The most impactful optimization is writing concise, well-structured prompts. Vague prompts produce longer, less useful responses that consume more tokens. See Prompt engineering 101 for a complete guide.2. Use knowledge bases effectively
A well-organized knowledge base reduces hallucination and shortens response generation time. When the AI can retrieve facts directly, it produces faster, cheaper, more accurate responses.3. Set conversation guardrails
Configure your Conversation AI agents with clear escalation rules and conversation limits. An agent that knows when to hand off to a human avoids burning credits on conversations it cannot resolve.4. Optimize Voice AI call duration
For Voice AI, shorter calls mean lower costs. Design your voice agents to:- Greet callers efficiently
- Ask targeted questions instead of open-ended ones
- Confirm details and wrap up promptly
5. Use Workflow AI selectively
Not every workflow step needs AI. Reserve GPT actions for steps that genuinely require language understanding — such as summarizing notes, scoring leads, or generating personalized messages. Use standard workflow logic for simple conditional routing.6. Review usage regularly
Check your AI usage dashboard weekly during your first month to understand your consumption patterns. After you have a baseline, monthly reviews are usually sufficient.Billing FAQ
Do unused credits roll over to the next month?
Do unused credits roll over to the next month?
What happens if I exceed my monthly allocation?
What happens if I exceed my monthly allocation?
Can I set a hard spending cap?
Can I set a hard spending cap?
Are there per-feature spending limits?
Are there per-feature spending limits?
How are Voice AI minutes rounded?
How are Voice AI minutes rounded?
Do test messages and test calls consume credits?
Do test messages and test calls consume credits?
Can I purchase additional credits mid-cycle?
Can I purchase additional credits mid-cycle?
How does pricing work for multi-channel deployments?
How does pricing work for multi-channel deployments?