A guide to Zendesk automation conditions to act after hours since status change

Kenneth Pangan
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Kenneth Pangan

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Katelin Teen

Last edited October 28, 2025

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Ah, Zendesk automations. They’re supposed to be these magic, set-it-and-forget-it tools that tidy up your support queue while you focus on more important things. And for the most part, they are. Setting up rules that trigger after a certain amount of time has passed is a great way to close stale tickets and send out reminders without lifting a finger.

The feature at the heart of this is using Zendesk automation conditions to act after hours since status change.

But if you’ve ever tried setting these up, you know it can get tricky, fast. You end up navigating a maze of specific conditions and loopholes, building rules that feel more like a house of cards than a solid workflow. This guide is here to walk you through how these "hours since" conditions work, what they’re good for, and where they tend to fall short. We'll also look at how modern AI tools can get you the same results, but with a lot less hassle.

What are Zendesk automations and triggers?

First, let's clear up some jargon. When you're automating things in Zendesk, you're mainly dealing with two tools: triggers and automations. They sound similar, but they operate on completely different clocks.

  • Triggers are like a reflex. They're event-based and fire the instant a ticket is created or updated. If a new ticket contains the word "refund," a trigger can immediately assign it to your billing team. Cause, meet effect.

  • Automations are more like a scheduled alarm clock. They're time-based. About once an hour, Zendesk runs a check on all your open tickets to see if they meet conditions that involve time.

This guide is all about those time-based automations, specifically the ones that use an "Hours since..." condition. Think of a rule like "Ticket: Hours since pending | Greater than | 48". This tells Zendesk to do something to any ticket that's been waiting on a customer for over two days. Getting a handle on this time-based logic is the key to making them work for you, not against you.

Common uses for time-based automations

Time-based automations are your first line of defense against a messy queue. They handle the nagging follow-up tasks that would otherwise eat up your agents' day. Here are a few of the most common ways support teams put these conditions to work.

  • Automatically solving pending tickets. If you've replied to a customer and are waiting for their response, you can't just leave that ticket open forever. An automation can automatically solve the ticket after a few days of silence, letting the customer know they can reopen it if they need to. This keeps your queue focused on active issues.

  • Sending a gentle nudge. Before you go ahead and close that pending ticket, it's good practice to send a reminder. You can set up an automation to send a quick, "Hey, just checking in to see if you still need help?" email after 24 or 48 hours.

  • Escalating tickets that are gathering dust. If a new ticket sits in the 'Open' status for too long without being resolved, that's a red flag. An automation can bump up its priority or reassign it to a senior agent to make sure it doesn't get forgotten.

  • Closing out solved tickets for good. After an agent marks a ticket as 'Solved', you usually want to give the customer a few days to respond in case the issue isn't truly fixed. After that grace period, say 96 hours, an automation can officially move the ticket to 'Closed'.

These are all incredibly useful workflows, but they depend on you setting up the rules just right within Zendesk's rigid framework. And that's where the headaches can start.

Where "hours since" conditions get tricky

While Zendesk automations are helpful, they have some quirks and limitations that can trip you up, especially as your team and ticket volume grow.

The "is" condition trap

Here’s the first catch: Zendesk automations don't run in real-time. They check your tickets roughly once an hour. This means an action might not trigger until 59 minutes after its time condition has been met. This lag becomes a real problem if you use an "is" condition, like "Hours since solved | Is | 24". If the hourly check happens at 23 hours and the next one at 25 hours, it completely misses the 24-hour mark. Your automation will never run on that ticket. It’s why Zendesk themselves recommend using "Greater than," but that opens up a whole other can of worms.

The dreaded infinite loop

When you use a "Greater than" condition, that condition stays true forever once it's met. A ticket that's been pending for 49 hours will still be pending for "greater than 48 hours" when the next hourly check runs, and the next, and the next. To stop your automation from firing over and over on the same ticket, you have to build in a "nullifying" action.

For example, your conditions might be "Status is Pending", "Hours since pending > 48", and "Tags contains none of the following: pending_reminder_sent". Then, in your actions, you have to remember to add the tag "pending_reminder_sent". It's an easy step to forget, and before you know it, you're spamming customers or creating messy, error-prone workflows.

Why you can't automate actions on closed tickets

This is a big one, and a common complaint you'll see on user forums. Automations do not run on closed tickets. Period. This makes any kind of long-term follow-up impossible. What if you need to delete a user's data 90 days after their issue is resolved? You can't automate it if the ticket is closed. Teams are forced to invent clunky workarounds, like leaving tickets in a 'Solved' or 'Pending' state for months on end, which totally messes up their reporting and clogs their queues.

Why a smarter approach is needed

All these limitations point to the same underlying issue: Zendesk's automations are just rule-followers. They check boxes based on status and time, but they have zero understanding of the actual conversation. They can't figure out the customer's intent.

This is where AI-powered tools offer a much better way. Instead of you building fragile, multi-step rules, a tool like eesel AI can read the ticket, understand what's needed, and automate workflows with real intelligence. For example, its AI Triage can route and tag tickets based on what the customer is actually asking, not just what a keyword tells it to do.

Zendesk pricing and plans

Of course, to use automations at all, you need to be on a Zendesk plan that includes them. The good news is that they're available on all Zendesk Support and Suite plans. However, the complexity of the rules you can build and access to other features depends on which plan you have.

Here's a quick look at the Zendesk Suite plans (these were the plans available before the 2024 update).

Suite TeamSuite GrowthSuite ProfessionalSuite Enterprise
Price (per agent/month, annually)$55$89$115Contact Sales
Price (per agent/month, monthly)$69$109$149Contact Sales
Key Automation & Workflow FeaturesBasic automations and triggers, prebuilt dashboards, macros.Everything in Team, plus customizable ticket layouts, SLA management, and self-service customer portal.Everything in Growth, plus skills-based routing, advanced reporting, and HIPAA compliance.Everything in Professional, plus custom roles, a sandbox for testing, and more advanced customization.

(For the latest details, you should always check the official Zendesk pricing page.)

While every plan gets you automations, remember to factor in the hidden cost: the admin time your team will spend building, testing, and troubleshooting these rules.

Beyond rigid rules: Using AI instead of time-based automations

Instead of wrestling with nullifying conditions and time-delay traps, you can use AI to manage your workflows with more brains and less brawn. eesel AI plugs directly into your Zendesk account to give you a smart automation layer that understands context and learns from your team.

Get up and running in minutes

Unlike the steep learning curve of Zendesk's rule builder, eesel AI is designed to be incredibly straightforward. You can connect your Zendesk account with a click and start setting up your AI agent right away, with no need to sit through a sales demo first. The platform walks you through training the AI on your past tickets and knowledge base articles, so it learns your business's unique context from day one.

Automate based on intent, not just time-based rules

Remember that problem of following up 90 days later on a closed ticket? An AI agent from eesel AI handles that without breaking a sweat. It reads the conversation and understands the request to "delete user data in 90 days." It can then create a reminder for itself or even open a new ticket when the time is right, long after the original ticket is closed. It works based on conversational intent, not rigid ticket statuses.

Customize and test with confidence

With eesel AI, you're in the driver's seat. You can define your AI's personality, its tone of voice, and exactly what it's allowed to do, from simple tagging and triaging to looking up order info by calling an external API. Best of all, you can test it all without any risk. The simulation mode runs the AI over thousands of your historical tickets and shows you exactly how it would have replied. This gives you a clear picture of its performance before you ever let it talk to a live customer.

Moving from time-based rules to intelligent workflows

Look, setting up Zendesk automation conditions to act after hours since status change is a solid starting point for any support team. These rules can definitely take some of the repetitive work off your plate and help keep your queue organized.

But as we've seen, you'll eventually hit a wall with their rigid logic, hourly delays, and inability to act on closed tickets. These limitations can hold your team back, especially as you start to scale.

AI-powered platforms like eesel AI offer a more flexible and powerful path forward. By actually understanding the context of a conversation, an AI agent can automate your workflows with real intelligence. This frees up your human agents to focus on what they do best: solving complex problems and making customers happy.

Ready to see what's possible beyond rigid, time-based rules? You can try eesel AI for free and see how it can bring intelligent automation to your Zendesk workflows.

Frequently asked questions

These conditions refer to time-based rules in Zendesk automations that execute actions after a specific duration has passed since a ticket's status was last updated. They help automate routine tasks like sending reminders or closing stale tickets, keeping your support queue organized.

Common uses include automatically solving pending tickets after a period of customer inactivity, sending follow-up reminders, escalating tickets that have remained open for too long, or officially closing 'Solved' tickets after a defined grace period. They reduce manual effort for repetitive tasks.

One pitfall is using "is" conditions, which can be missed due to Zendesk's hourly automation check cycle. Another is the "infinite loop" when using "Greater than" conditions, requiring you to add a "nullifying" action, like tagging the ticket, to prevent repeated actions.

No, Zendesk automations, including those based on "hours since status change," do not run on closed tickets. This means any long-term follow-up or actions required for tickets that have already been closed cannot be automated using these conditions.

AI tools understand the conversational context and intent of a ticket, moving beyond rigid time and status checks. They can automate complex, nuanced workflows, manage tasks on closed tickets, and adapt to specific business needs without the need for intricate, error-prone rule building.

The functionality for setting up basic automations and triggers, including time-based conditions like "hours since status change," is available across all Zendesk Support and Suite plans. However, advanced customization and other features may depend on your specific plan tier.

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Kenneth Pangan

Writer and marketer for over ten years, Kenneth Pangan splits his time between history, politics, and art with plenty of interruptions from his dogs demanding attention.