Lorikeet AI pricing: A complete guide and breakdown for 2025

You’ve probably seen it before: a customer has a problem that’s way too complicated for a standard chatbot. They need a refund, an address change, and a subscription update. Most bots would just give up and create a ticket, leaving it for your already-swamped team.

Lorikeet AI claims to be the answer to this headache. It calls itself a "universal AI concierge," built to handle those messy, multi-step support issues, especially for companies in sensitive fields like finance or healthtech. The promise is huge, an AI that actually solves problems instead of just deflecting them.

But when you look under the hood, you find that the pricing is as complex as the problems it claims to solve. So, let’s pull it apart. In this guide, we’ll give you a straight-up look at Lorikeet AI’s pricing, what you actually get, and who it’s truly for. By the end, you’ll have a much better idea of whether it makes sense for your support team.

What is Lorikeet AI?

So, what exactly is Lorikeet AI? It’s definitely not your average FAQ bot. Its main job is to follow your company’s internal rulebooks (your SOPs) to fix knotty, multi-step customer problems.

Imagine the difference between a bot saying, "Here’s an article about refunds," and one that says, "Okay, I’ve processed your refund, canceled your subscription, and updated your account details." That’s what Lorikeet aims for. It’s built to take real action, not just pass the buck.

This makes it an interesting option for businesses where mistakes are costly, think fintech, healthtech, or complex e-commerce platforms. Their entire model is based on the AI making judgment calls and getting things done, which helps explain why their pricing isn’t as straightforward as you might expect.

A deep dive into Lorikeet AI pricing

On paper, Lorikeet’s "pay-per-resolution" model sounds like a dream. You only pay when the AI actually solves a customer’s problem. What’s not to love?

But the reality is a bit more complicated. It all runs on a credit system with different costs for different actions, which can turn your monthly budget into a moving target. Let’s get into the details.

Lorikeet AI pricing Tiers and Credit System

Lorikeet has three main pricing tiers: Start, Scale, and Enterprise. Each plan gives you a monthly allowance of credits, and every support issue resolved consumes a certain number of those credits. The tricky part is that not all resolutions are created equal.

Here’s a look at how the plans compare:

Feature	Start Plan	Scale Plan	Enterprise Plan
Monthly Cost	$500	$2,000	Custom
Resolutions / mo	Up to 750	Up to 4,000	4,000+
Monthly Credits	500	2,000 (rolls over)	Custom (volume discounts)
Credit Usage	0.67 per FAQ, 1.25 per complex workflow	0.50 per FAQ, 1.00 per complex workflow	Volume discounts
Editor Seats	Up to 5	Up to 10	Unlimited
Support Channels	Email & Chat	Email & Chat	Email, Chat, & Voice
As the table shows, a simple FAQ answer might only use half a credit, but a "complex workflow" could cost a full credit or even more. This means your total resolution count for the month is constantly in flux. If you get a wave of complex tickets, you could blow through your credit allowance way faster than you planned.

Lorikeet AI pricing: The challenges of credit-based models

The main issue with "pay-per-resolution" is that it’s not as predictable as it sounds. One month, you might have a flood of simple questions, and your bill is manageable. The next, a product bug could cause a spike in complex issues, and you suddenly burn through your credits twice as fast.

This creates a constant mental calculation for your team. You’re not just tracking ticket volume; you’re tracking credit consumption. It can feel like you need a spreadsheet just to figure out what your support is going to cost you each month. Plus, who gets to decide what counts as a "successful" resolution? It can get murky.

It’s why many teams prefer a simple, flat-rate model. For instance, a tool like eesel AI works differently, offering clear plans with no hidden per-resolution fees. You get a set number of AI interactions, and your bill is the same whether those interactions are simple FAQ answers or complex troubleshooting sessions. It takes the guesswork out of budgeting so you can focus on support, not on counting credits.

Key Features and Capabilities: What do you get with Lorikeet AI pricing?

So, what do you actually get for that monthly fee and all those credits? Lorikeet’s features really focus on two key areas.

Handling complex, multi-step workflows

This is Lorikeet’s bread and butter. It’s built to follow your internal playbooks to the letter. Let’s say a customer wants to return an online order. A simple bot might just point them to the return policy. Lorikeet is designed to do more:

1. Look up the order in your system.

2. Check if it’s eligible for a return.

3. Generate a shipping label and email it to the customer.

4. Update the order status to "return pending."

It can pull this off by connecting with your other tools, like Zendesk or your e-commerce platform, to both gather information and take action. For companies with very rigid, established processes, this is a big deal.

Knowing when to call for help

No AI can handle everything, and Lorikeet knows it. It’s designed to recognize when a problem is beyond its abilities and pass the conversation over to a human agent. This is a must-have for any automation tool, because the last thing you want is an AI frustrating a customer by trying to solve something it can’t. It’s a smart safety net for keeping your customer satisfaction high.

A quick note on getting started

Here’s something to keep in mind: setting up these intricate workflows isn’t exactly a walk in the park. Lorikeet’s own website talks about "Forward Deployed Engineers" helping with setup. When you see phrases like that, it’s usually code for "this is going to take a while and you’ll need our help." It points to a hands-on, consultative setup process that can be both slow and costly.

If your team needs to move fast and tweak things on your own, this kind of heavy implementation can be a major roadblock. It’s a stark contrast to self-serve platforms where you’re in the driver’s seat. For example, with eesel AI, you can connect your knowledge base with a few clicks. You don’t need to wait for an engineer to build out your workflows; you can start setting up automation rules and custom responses yourself, right away. It puts the power to adapt and improve in your hands, no developers required.

Hear from Lorikeet’s CEO about the vision behind building an AI agent to solve complex customer support challenges.

Lorikeet AI pricing: Is the model right for your team?

After looking at the price, the features, and the setup, the big question is: does Lorikeet AI actually make sense for your team?

Lorikeet is likely a good fit if:

• You’re a large enterprise with a big budget.

• You operate in a regulated industry like finance or healthcare, where the cost of a single mistake is massive.

• You have very complex, rigid support procedures that need to be followed perfectly every time.

• You have the time and resources for a lengthy, hands-on implementation process.

It’s probably not the right tool if:

• You’re a small or medium-sized business that needs to keep a close eye on costs.

• You need a predictable, flat monthly bill for your support tools.

• Your team values speed and wants to be able to configure and update the tool themselves without waiting for outside help.

Lorikeet AI pricing: Don’t forget the risk factor

There’s one more thing to consider: how do you know it will even work for your specific customer issues? Signing a contract for a tool with a minimum $500/month price tag without seeing it perform on your own data is a huge leap of faith. What if its resolution rate is lower than you hoped?

This is why being able to test an AI in a safe environment is so important. Some newer platforms are built with this in mind. For example, eesel AI includes a simulation mode that lets you test its performance on your past support tickets. You can see exactly how it would have responded and what its resolution rate would have been, all without it ever touching a live customer conversation. This gives you a data-backed report card on its potential impact before you commit, taking the gamble out of the decision.

The Verdict on Lorikeet AI pricing: A powerful but niche tool

So, what’s the final word on Lorikeet AI?

It’s a highly specialized tool designed for a very specific job: automating complex support tasks for big companies with big budgets. If you fit that mold and are prepared for a hands-on setup, it could be a powerful addition to your toolkit.

But for most teams, the complicated credit-based pricing is a major hurdle. It creates budget uncertainty and adds a layer of administrative hassle that many just don’t need. When you combine that with a setup process that seems to require dedicated engineers, it becomes a poor fit for any team that needs to be agile and self-sufficient.

If you’re looking for an AI support solution that’s more straightforward, transparent, and puts you in control, there are other great options out there. For a platform with predictable pricing, an incredibly simple setup, and the ability to test its effectiveness on your own data before going live, you should give eesel AI a try.