Trying to pick the right AI support agent can feel like navigating a maze, especially when you’re trying to make sense of complicated pricing. You just want a tool that can actually lower your ticket volume and make your team’s life a little easier, but getting there is often a slog through sales calls and vague promises.
Lorikeet AI is one of the more interesting options out there, with a big focus on solving those tricky, multi-step customer problems. But is it the right fit for your team and your budget? This guide gives you a clear, straight-up breakdown of the Lorikeet AI pricing model, its main features, and a few potential drawbacks to think about. Because when you're trying to grow your support operations, the last thing you need is a surprise on your monthly invoice.
What is Lorikeet AI?
So, what's the deal with Lorikeet AI? They call themselves a "universal AI concierge," which is a fancy way of saying it does more than just spit out FAQ answers. It’s built to handle the kind of messy, high-stakes issues that most chatbots would just pass off to a human, like rescheduling a flight, processing a tricky refund, or updating an insurance policy. The goal is for it to act like your best human agent by following your company's playbooks to the letter.
By plugging into support platforms like Zendesk and business tools like Stripe and Shopify, Lorikeet can actually do things in your existing systems. This makes it an interesting option for medium-to-large businesses that need to automate complex support flows. It’s a powerful promise, but it comes with a pricing structure that needs a closer look.
Workflow diagram illustrating how the Lorikeet AI pricing model handles complex resolutions.A deep dive into Lorikeet AI pricing plans
Lorikeet's pricing isn’t a simple flat monthly fee. It’s a tiered, credit-based system, which means you’ll need to do some math to figure out your actual costs. They say they only charge for "successfully resolved tickets," but how they define success and what each ticket costs can change.
Here’s a look at their public plans:
| Feature | Start | Scale | Enterprise |
|---|---|---|---|
| Monthly Cost | $500/mo | $2,000/mo (paid annually) | Custom |
| Resolutions / Month | Up to 750 | Up to 4,000 | 4,000+ |
| Credits / Month | 500 (resets) | 2,000 (rolls over) | Custom |
| Channels | Email & Chat | Email & Chat | Email, Chat & Voice |
| Integrations | Zendesk, Intercom, etc. | Same as Start | Custom integrations |
| Onboarding | Kickoff call | Dedicated CSM | Dedicated account team |
The catch with the Lorikeet AI pricing credit-based model
The real head-scratcher here is the credit system. According to their pricing page, a simple FAQ answer costs 0.67 credits, but a "complex workflow" resolution costs 1.25 credits. This immediately brings up a few important questions:
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What exactly counts as a "complex workflow"? Who decides if a ticket is complex, you or them? Is it based on the number of steps, the systems it touches, or something else?
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What happens when you have a busy month and blow past your credit limit? The overage fees of $100 per 100 credits could pile up fast.
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How can you possibly forecast your budget when the cost per ticket isn't fixed?
An infographic explaining the Lorikeet AI pricing credit system.This model can lead to unpredictable monthly bills, which is a major headache for any growing business. When your costs go up every time your ticket volume does, you're basically getting penalized for being successful.
In contrast, other platforms offer much more predictable pricing. For example, eesel AI uses a clear, interaction-based model with flat-rate plans. You get a certain number of AI interactions (like a reply or an action) each month, so your bill doesn't suddenly double just because you had a busy week. It's a simpler approach that makes financial planning a lot easier.
This screenshot of the eesel AI pricing page shows its clear, flat-rate plans that contrast with the variable Lorikeet AI pricing model.Key features and potential limitations of Lorikeet AI
A tool's price is only one piece of the puzzle. Its features, and just as important, its limitations, are what really tell you if it's worth the money.
What Lorikeet AI does well
To be fair, Lorikeet has some impressive tricks up its sleeve that you won't find in a basic FAQ bot.
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Complex Workflow Automation: This is its main selling point. If your support tickets often require an agent to log into three different systems to get an answer, Lorikeet is designed to automate that exact process.
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Deep System Integration: It can connect directly with other tools to take action. This means it can actually process a refund in Stripe or check an order status in your backend, not just tell a customer how to do it themselves.
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Smart Escalation: The platform is built to hand tickets over to human agents when it’s not sure it can solve the problem correctly. This is a must-have for keeping customers happy and avoiding those frustrating AI loops.
In this interview, Lorikeet AI's co-founder discusses the company's vision for solving complex support issues with AI.
Potential limitations of Lorikeet AI
Despite its strengths, there are a few things that might make you think twice.
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A long, hands-on onboarding: Every single call-to-action on their website is "Get a demo." There's no way to sign up and just try it out. This points to a mandatory sales process and a potentially long, high-effort setup. If your team likes to move fast, test things, and see value quickly, this can be a real roadblock.
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The "garbage in, garbage out" problem: As one wise Reddit user pointed out, an AI is only as good as the information it's given. If your help articles are out of date or your internal docs are a disaster, the AI will just serve up wrong answers with a smile. While Lorikeet connects to your help center, it’s not clear how well it deals with knowledge that’s scattered across all the different, messy places your team actually works.
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Pro Tip: This is where a modern AI platform should really step up. To avoid spending your life manually syncing documents, tools like eesel AI connect directly to your live knowledge sources like Google Docs, Confluence, and Notion. The AI learns from where your team is already working, so it always has the freshest information.
This image shows the eesel AI integrations page, highlighting its ability to connect to live knowledge sources like Google Docs and Confluence, an important factor when comparing to Lorikeet AI pricing and features.- No way to test it safely: There’s no mention of a risk-free testing or simulation mode on Lorikeet's site. This means you can't see how the AI would handle your real historical tickets before you let it talk to live customers. You're essentially flying blind, unable to predict resolution rates, find knowledge gaps, or figure out your ROI without taking a big leap of faith.
This is a screenshot of the eesel AI simulation mode, which allows teams to test the AI on past tickets before going live, a feature to consider when evaluating the overall value of Lorikeet AI pricing.Evaluating the true cost: Is the Lorikeet AI pricing worth it?
The price on the sticker isn't the whole story, right? The "true cost" of any tool also includes the time it takes to set up, train your team, and the operational risk of launching something that might not work the way you hoped.
The unpredictable nature of a per-resolution pricing model is a huge factor here. A successful product launch or a holiday rush could lead to surprise overage fees, punishing you for growth. It forces you to choose between scaling your support or controlling your costs.
Ultimately, you want a partner that helps you hit your goals: predictability, control, and speed. Here’s a quick comparison of the two philosophies:
| Factor | Lorikeet AI | eesel AI |
|---|---|---|
| Pricing Model | Per-resolution (credit-based), can be unpredictable. | Per-interaction, predictable flat-rate plans. |
| Onboarding | Requires sales calls and a demo to even start. | Fully self-serve. You can go live in minutes. |
| Testing & Simulation | Not mentioned; seems to require live testing. | Robust simulation mode to test on past tickets without risk. |
| Knowledge Sources | Connects to help centers and internal tools. | Instantly syncs with help desks, wikis, Google Docs, and past tickets. |
| Customization | Configurable, but probably needs expert help to set up. | Granular, self-serve control over AI persona, actions, and rules. |
Lorikeet AI pricing: Predictability is key for scaling support
Look, there's no denying Lorikeet AI is a heavy-hitter. It’s built for businesses that have very complex support workflows, deep pockets, and the patience for a premium, white-glove solution. If your main goal is automating intricate tasks across multiple systems and you're not too worried about a fluctuating bill, it could be a solid choice.
However, its confusing credit-based pricing and the lack of a self-serve, try-before-you-buy option are big hurdles. For most teams, especially those trying to scale efficiently and keep a tight grip on their budget, a platform that offers transparent pricing, total control, and a risk-free way to get started makes a lot more sense.
Get started with AI support you can actually trust
Instead of sitting through demos and crossing your fingers, why not see exactly how AI could handle your real support conversations today?
eesel AI offers a powerful simulation mode that lets you test its performance on thousands of your past tickets before you ever go live. You get accurate, data-backed insights on how it will perform and can tweak everything yourself on a fully self-serve platform.
Sign up for free and see your results in minutes.
Frequently asked questions
Lorikeet AI pricing is structured around a tiered, credit-based system where different types of "resolutions" consume varying amounts of credits. Simple FAQ answers use fewer credits than complex workflow resolutions, making monthly costs variable.
The main potential hidden cost arises from overage fees if your usage exceeds your monthly credit limit. The blog notes these can be $100 per 100 credits, which could lead to significant and unpredictable increases in your monthly bill during peak times.
Lorikeet AI charges different credit amounts based on the perceived complexity of the task; for instance, a simple FAQ answer costs 0.67 credits, while a "complex workflow" resolution costs 1.25 credits. However, the exact criteria defining a "complex workflow" are not fully detailed, which can create uncertainty.
According to the blog, there is no direct self-serve trial or risk-free testing mode available for Lorikeet AI. Users are guided to "Get a demo," indicating a mandatory sales process and a potentially extended setup period before you can fully evaluate the solution.
The Lorikeet AI pricing model is generally best suited for medium-to-large businesses that handle very complex, multi-step customer support issues. It targets organizations looking for a premium, white-glove solution willing to invest significantly in extensive automation.
The credit-based, per-resolution Lorikeet AI pricing model can lead to unpredictable monthly bills, making it difficult to forecast budgets accurately. This structure can effectively penalize businesses for growth, as higher ticket volumes directly result in increased costs.
