A review of Myaskai: Is its pay-per-ticket AI the right fit for you?

If your support team is constantly battling a never-ending ticket queue, you’ve probably thought about bringing in an AI helper. The market is full of them, all promising to make your life easier. One name that pops up, especially for smaller teams, is Myaskai. It’s known for a quick setup and a pretty unique pay-as-you-go price tag.

But does simple and cheap mean it’s the right tool to grow with your business?

In this post, we’re going to take an honest look at Myaskai, what it does, how it’s priced, and where it might leave you wanting more. We’ll get into the details so you can figure out if it’s a good fit for your team or just a temporary fix.

So, what is Myaskai?

Myaskai is an AI tool that plugs into help desks like Zendesk, Intercom, and Gorgias to automate customer support. The main idea is to give you an affordable AI agent that you can get running in a few minutes. It learns from your existing content, think help articles, your website, or even your Shopify store, to answer customer questions.

It’s built on Bubble, a no-code platform, which gives you a hint about who it’s for: startups and smaller businesses that need a simple solution without a complicated setup. Myaskai claims its AI can handle up to 75% of support tickets, which would free up your human agents for the trickier stuff.

How Myaskai actually works

Let’s break down what the platform does day-to-day.

Feeding the AI: What Myaskai learns from

Myaskai gets its knowledge by connecting to a few sources:

• Knowledge Bases: It scans your public help articles to find answers to common questions.

• Websites: You can give it a link to your website or specific pages, and it will pull information from there.

• E-commerce Stores: It has a simple connection with Shopify, which is useful for online stores that get a lot of order-related questions.

But there’s a big piece of the puzzle missing here. Myaskai doesn’t seem to learn from your team’s past ticket conversations. All those detailed, nuanced replies your best agents have written over the years are a goldmine of information. They contain your true brand voice and show how to solve problems that aren’t written down in any help doc. Without that context, the AI’s answers can feel a bit robotic and it might get stuck on anything that’s not in the official manual.

Connecting Myaskai to your tools and handing off to humans

Myaskai integrates with the most common help desks, including Zendesk, Intercom, Gorgias, Freshdesk, and HubSpot.

When the AI doesn’t know the answer, it has an "intelligent handover" feature that passes the conversation to a human. It also provides a summary of the chat so far, which is a nice touch that saves the customer from repeating themselves.

While these integrations cover the basics, the list is pretty short. To get truly accurate answers, an AI needs to see the whole picture of your company’s knowledge. For comparison, a platform like eesel AI offers over 100 one-click integrations. This doesn’t justinclude help desks, but also internal knowledge hubs like Confluence and shared documents in Google Docs, giving its AI a much richer understanding of your business.

Taking action with Myaskai and seeing what works

Myaskai isn’t just for talking. It can also perform simple actions by connecting to your internal APIs, like processing a refund or updating a shipping address. This is a good step toward actual automation, but it’s not exactly a plug-and-play feature; you’ll likely need a developer to get it working.

Its analytics dashboard is designed to show you where your knowledge base has gaps. It tracks the questions the AI couldn’t answer, giving you a to-do list of help articles to write or update. This helps you improve your resolution rate over time, which is definitely useful.

The catch with Myaskai’s pricing model

Myaskai’s pricing gets a lot of attention. It’s a usage-based model, advertised at $0.10 per resolved ticket.

On paper, this sounds amazing, right? If you’re a tiny startup with just a handful of tickets a day, it’s a super low-risk way to try out AI without committing to a monthly subscription.

But this model has some hidden traps that can cause major headaches down the road:

• It’s impossible to budget for: One of the biggest problems with usage-based pricing is that you have no idea what your bill will be at the end of the month. A successful marketing campaign, a new product launch, or even a small bug can cause your ticket volume to spike, and suddenly you’re facing a bill that’s hundreds or thousands of dollars more than you expected.

• It punishes you for growing: This model is set up to cost you more as your business becomes more successful. More customers means more questions, which means your AI support costs go up and up. Your software should be helping you grow, not becoming a tax on your success.

• The value is unclear: You’re paying for each resolution, but what are you actually getting for that money? The price isn’t connected to new features, platform improvements, or better customer support for you. With a subscription model, you get predictable costs and you know exactly what features you’re paying for.

A few Myaskai red flags for growing teams

Beyond the tricky pricing, there are a couple of other things to keep in mind before you jump in.

Myaskai is built on a no-code platform

Myaskai’s front-end is built on Bubble. No-code tools are great for building and launching a product quickly, but they can create challenges for businesses that are trying to scale. If you’re thinking long-term, you have to ask questions about enterprise-level security, how the platform will perform with thousands of daily tickets, and whether it can handle complex, custom integrations.

Myaskai has no "test drive" mode

This one is a big deal. Before you let an AI talk to your customers, you need to know how it’s going to perform. You want to see what it will say, what questions it can answer, and what its resolution rate is likely to be.

Myaskai doesn’t seem to offer a powerful simulation tool. This means you’re essentially turning it on and just hoping for the best. That’s a massive gamble to take with your brand’s reputation and your customer relationships.

This is a huge contrast to a tool like eesel AI, which has a powerful simulation mode. It lets you test the AI on thousands of your past tickets in a safe environment. You get a clear forecast of its resolution rate and can review exactly how it would have responded to real customer questions, giving you complete confidence before you let it go live.

Not much control over Myaskai automation

Great automation is about more than just answering questions. It’s about managing the entire ticket workflow. Growing teams need to be able to set specific rules for which tickets the AI handles, how it tags them, and where it routes them.

Myaskai seems focused on the answering part but appears to be missing a sophisticated workflow engine for all the other stuff. This limits your ability to automate the boring but necessary tasks that keep your support queue from turning into chaos.

This is where eesel AI’s full workflow engine really makes a difference. It gives you the power to build very specific rules. You can start small, maybe letting the AI only handle simple "Where is my order?" tickets. Then, as you get more comfortable, you can gradually give it more responsibility.

See a step-by-step walkthrough of Myaskai to understand how it works in practice.

A more robust Myaskai alternative: eesel AI

For a team that’s just starting to play around with AI, Myaskai can feel like an easy first step. But for any business that needs predictable pricing, more control, and a safer way to get started, eesel AI is the more logical choice.

It’s designed for teams that are serious about making AI a core part of their support strategy, and it’s built to scale with you.

Pro Tip: If you’re serious about using AI in your support workflow, predictable pricing is a must. It lets you create a reliable budget and makes sure your tools help you grow instead of holding you back. eesel AI’s plans are transparent and based on features, not how many tickets you resolve.

Here’s a quick look at how they stack up:

| Feature | Myaskai | eesel AI | | :------------------– | :------------------------------- | :------------------------------------------- | | Pricing Model | Per-resolution (unpredictable) | Subscription (predictable) | | Pre-launch Testing | Not specified | Powerful simulation on past tickets | | Workflow Control | Basic handover | Fully customizable workflow engine | | Knowledge Sources | Limited to web/docs | 100+ integrations (tickets, Confluence, etc.) | | Setup | Self-serve | Radically self-serve (live in minutes) | | Scalability | No-code foundation | Enterprise-ready architecture |

So, is Myaskai the right tool for you?

Look, Myaskai isn’t a bad tool. For a very small business or a solo founder with a low and predictable number of tickets, it can be a decent way to dip your toes into AI automation. The simple setup and pay-as-you-go model make it accessible.

However, if you’re part of a growing support team that needs predictable costs, wants to test everything thoroughly before going live, and needs fine-grained control over your automation, you’ll probably outgrow it very quickly. For that, you need a more powerful, enterprise-ready solution.

Ready for an AI agent you can trust and control?

See how eesel AI can connect to your help desk in minutes and give you the tools you need to automate with confidence. Start your free trial today and see what a difference it can make.