Understanding Zendesk's Automated Resolutions Model
How does the automated resolutions model work for Zendesk AI agents?
The automated resolutions model for Zendesk AI agents measures usage based on the number of automated resolutions rather than monthly active users. Each Zendesk Suite and Support plan includes a baseline number of automated resolutions per agent per month. For example, the Enterprise plan includes 15 automated resolutions per agent per month. If you exceed your allotted resolutions, you may incur overage charges, but you can purchase additional resolutions to avoid this. This model gives you more control over managing your AI agent usage.
More related questions
What is the new pricing model for Zendesk AI agents?
Zendesk has introduced a new pricing model for AI agents, which is now based on automated resolutions. This change replaces the previous pricing model that was based on monthly active users (MAUs) for Zendesk bots and Answer Bot resolutions. The…
What features are included with Zendesk AI agents?
Zendesk AI agents come with a variety of features that were previously part of the Advanced AI add-on. These features include conversation bots and autoreplies for articles, and they are available on all Zendesk Suite and Support plans. Legacy…
How can I test and monitor Zendesk AI agent features?
You can test and monitor Zendesk AI agent features by incorporating them into your customer support setup. As you experiment, use the Automated resolutions dashboard to track your usage and see how different configurations impact your automated…
What should I do if I need more automated resolutions for Zendesk AI agents?
If you find that you need more automated resolutions for your Zendesk AI agents, you can purchase additional resolutions to avoid exceeding your allotted amount and incurring overage charges. You also have the option to cap the number of automated…
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“At the end of last year I was given the challenge - how can we provide the same or better service, without hiring anyone?”
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“My AskAI blew everybody else out of the water. It made the selection process very easy for us.”
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“It now resolves 71% of queries (over 35,000 every month), meaning more time solving complex issues and improving UX.”
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