Nobikage San Introducing
Gorgias AI Agent claims to automate your support — but is it really worth the price? Learn how its pricing model works.
Pricing can be unpredictable.
If you’re reading this, you’re probably exploring Gorgias’s new AI Agent and trying to understand what it really costs before making a move.
From what I’ve seen so far, Gorgias works with two pricing layers. First, you pay for your helpdesk plan, which is based on billable tickets. Then, there’s an extra AI fee for every ticket the Agent resolves automatically.
I’ve reviewed what Gorgias shares publicly, what reliable third-party sources have found, and how those pieces come together to shape your actual monthly bill.
Let’s break it down together.
| Add-on | Description | Estimated Cost |
|---|---|---|
| AI Agent | Fee per automated resolution handled by AI | Around $0.90 per resolution |
| Ticket Overages | Extra charge when monthly ticket limits are exceeded | About $36 per 100 tickets |
| Voice Support | Phone channel for inbound and outbound calls | Around $1–$2 per ticket |
| SMS Support | Text message conversations billed separately | Around $0.8–$1.5 per ticket |
| Multichannel Events | Conversations across multiple channels may count multiple times | Variable, depends on volume |
| Setup & Onboarding | Advanced configuration or assisted implementation | Custom quote |
| Integrations | Custom API, data, or app connections | Custom quote |
When you use the AI Agent, you pay for every ticket your team replies to. On top of that, there’s an outcome-based fee for each automation the Agent completes successfully.
If your account was created before May 28, 2025, your billing rules might still follow the legacy structure. Newer accounts are moved to the updated system, so it’s worth checking which one you fall under.
Now, based on what I’ve gathered from multiple credible sources, here’s what the real numbers look like.
Most reports mention a per-resolution fee between $0.90 and $1.00 per automated ticket. Annual contracts tend to stay closer to $0.90, while monthly agreements usually land around $1.00.
As for the helpdesk itself, Gorgias still charges per ticket volume. The tiers I’ve seen most often are:
Starter: around $10 for 50 tickets
Basic: around $60 for 300 tickets
Pro: around $360 for 2,000 tickets
Advanced: around $900 for 5,000 tickets
Extra tickets are sold in overage packs that average between $36 and $40 per 100 tickets, depending on your plan and contract terms.
One important detail that often surprises teams: an automated resolution still counts as a ticket. That means you might pay both the helpdesk fee and the AI fee for the same interaction. Before you sign, confirm this with your account manager so you know exactly what’s included.
Imagine you’re on the Pro plan, which gives you about 2,000 tickets per month. Most third-party sources estimate the AI fee at $0.90 per resolution on annual contracts and around $1.00 if you’re paying monthly.
Here’s what that could look like in practice:
| Scenario | Base Helpdesk | AI Resolutions | Estimated Total |
|---|---|---|---|
| Normal month | $360 | 500 | $810 |
| Growth month | $360 | 1,000 | $1,360 |
There are a few clear situations where Gorgias’s pricing model works in your favor.
If you’re just beginning to test AI in your support operations, the model feels safe. You only pay when the Agent actually resolves something. It’s a practical way to measure real value before committing to a larger rollout.
Your bill is tied to outcomes, not seats. Every resolution the Agent delivers represents work your team didn’t have to do. When it performs well, the spend feels fair because it’s linked directly to output.
The Agent doesn’t just write replies. It can take real actions that matter in eCommerce, updating orders, handling returns, answering tracking questions, or adjusting policies. You’re not just paying for speed; you’re paying for completed work that keeps customers happy.
As flexible as this model sounds, it has a few challenges you should consider before scaling.
When order volume increases, so do tickets and so does your AI usage. That can make it hard to predict monthly spend, especially during campaigns or seasonal peaks.
If your conversion rates rise and traffic spikes, you’ll likely automate more interactions and pay more as a result. It’s a strange trade-off: the better your business performs, the higher your support bill climbs.
Each platform defines an “automated resolution” differently. You’ll want to understand exactly what counts as resolved before you agree on pricing. Otherwise, you might pay for tickets that were only half-solved.
Some teams discover that automated resolutions still count toward their ticket quota. That means you’re charged once for the ticket and once for the AI outcome. Always ask for this point in writing before you finalize your plan.
Before you commit, it’s smart to check if the numbers really work for your store. Here’s a simple way to do it.
Export 3 to 6 months of support history from your helpdesk. Split the data by topic, things like Where is my order?, returns, cancellations, and general FAQs.
Go through those tickets and tag the ones that follow a clear process or template. If your SOPs are defined and your Shopify data is synced, these are the easiest to automate.
Start with a realistic range of 40–60% for Tier-1 tickets. Adjust it by channel depending on where most of your traffic comes from — chat, email, or tracking pages.
Take your base helpdesk plan, add any expected overages, and multiply your estimated AI resolutions by the quoted cost per resolution. That gives you a rough monthly bill.
Run the same calculation for high-volume months like BFCM, new product launches, or delivery delays. You’ll see how much your bill could change when volume spikes.
Find out your average cost per human-resolved ticket. Gorgias often uses $3.10 per ticket as a benchmark. Compare that with your estimated AI cost to see when automation becomes profitable.
Decide the thresholds that matter. Maybe it’s a certain CSAT score, a speed target, or a volume level where AI beats your current cost with a healthy margin.
Outcome-based pricing sounds fair at first, but it can quickly work against you. When your sales increase, your tickets grow too — and so does your bill. What started as a flexible model can become unpredictable just when your business is scaling.
That’s where Minami AI takes a different path. The pricing is fixed, with no hidden fees or usage spikes.
Besides that, Minami doesn’t just reply to customers, it acts on their requests. It manages returns, processes exchanges, triggers re-shipments, updates carriers, and sends delivery messages automatically. You get complete post-purchase automation in one tool, without worrying about extra costs as your volume grows.
If you’d like to see it in action, book a demo with Minami.
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