Per-resolution pricing punishes success: the better your agent works, the more you pay, until doing its job becomes the thing that inflates your bill. Wonderchat runs on flat plans with high message quotas, so scaling up your volume doesn't scale up your cost per answer.
As your agent handles more conversations - more deflected tickets, more qualified leads, more resolved questions - you're working within a quota you chose, not watching a meter tick with every interaction. High-volume plans support the kind of traffic a busy support or sales operation actually generates, and the economics get better as you grow, not worse. Each additional resolution costs you less, not more.
This is a deliberate difference from tools that bill per resolution or per conversation. Those models mean you're penalised precisely when the agent is delivering the most value. Flat, quota-based pricing lines your cost up with your budget instead of your success.
For teams running real volume, it's the difference between an AI agent that pays for itself and one whose bill grows faster than the value it delivers. It's part of a SOC 2 Type II certified, GDPR-compliant platform. Scale the agent as hard as you need to, and keep your pricing predictable while you do.
FAQ
Does the cost go up as the agent handles more conversations?
No. Wonderchat runs on flat plans with high message quotas, so scaling volume doesn't scale your cost per answer - unlike per-resolution pricing.
Can it handle high-volume support or sales traffic?
Why is flat pricing better than per-resolution?
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