Let’s be honest, the world of AI support agents is getting crowded. It seems like every new tool promises to make your customer tickets disappear into thin air. But if you’ve worked in support for more than five minutes, you know it’s never that simple. One of the big names making waves right now is Lorikeet AI, a well-funded platform that calls itself a "universal AI concierge."
While lots of AI tools talk a big game, it’s the nitty-gritty details, setup time, actual cost, and who’s really in charge, that make or break them. This guide will walk you through what Lorikeet AI actually does, what sets it apart, and the important questions you should be asking before you even think about signing a contract.
What is Lorikeet AI?
Lorikeet AI isn’t your average chatbot that just spits out articles from your help center. It’s built to be an AI agent that actually does things. Instead of just answering a question, its main job is to run through complex, multi-step tasks to solve a customer’s problem from beginning to end.
This approach has made it a go-to for companies with serious support needs, especially those in regulated industries like fintech and healthtech. They often feature customers like Airwallex, Flex, and Eucalyptus on their site. In these fields, a wrong answer isn’t just a bad look; it can have real consequences.
Their "secret sauce" is something they call an "Intelligent Graph architecture." All that really means is that it’s designed to follow your company’s Standard Operating Procedures (SOPs) down to the letter. It’s less about coming up with a creative, free-form answer and more about methodically checking off boxes, just like a human agent would. This focus on following the rules without deviation is their key selling point. With backing from big-name investors like QED Investors and Blackbird, Lorikeet AI has set itself up as a serious tool for enterprise support teams.
Key features of Lorikeet AI
Lorikeet AI’s features are all built around its promise to handle genuine complexity, not just deflect the easy questions. Here’s what that looks like in the real world.
Lorikeet AI handles messy, multi-step problems
This is Lorikeet’s main event. It’s designed for tasks that require several steps and a bit of back-and-forth. Think about the processes that usually need a seasoned agent: processing a refund with multiple parts, updating a customer’s address and resending their package, or handling the entire workflow for replacing a lost debit card.
For example, when a customer reports a stolen card, it’s not just one step. The AI has to authenticate the user, check if they’re eligible for a replacement, confirm their address, ping an external system to issue the new card, and then update the ticket. Lorikeet AI is built to manage that whole chain of events on its own.
Lorikeet AI follows your playbook, no exceptions
Because it’s often used in industries with strict compliance rules, Lorikeet AI is all about reliability. Its system is built to follow a script precisely, which helps avoid the risk of the AI "hallucinating" or just making things up when it gets stuck, a real headache with some generative AI models. This means you can count on it to do the right thing in the right order, every single time.
Lorikeet AI works everywhere and connects to your other tools
Your customers reach out through chat, email, and sometimes even by phone, so Lorikeet is built to operate across all those channels. More importantly, it can plug directly into your other business systems to take action. It integrates with help desks like Zendesk to manage tickets or payment platforms like Stripe to process transactions. This ability to read and write data in other systems is what lets it go from just talking to actually doing.
Lorikeet AI knows when to call for a human
No AI is perfect, and a smart system understands its own limits. Lorikeet AI is designed to spot when a problem is too complicated, too sensitive, or just something it hasn’t been trained on. When it hits a wall, it intelligently hands the ticket off to a human agent. And here’s the important part: it passes along the full conversation history and a summary of what it has already tried, so your agent doesn’t have to make the customer repeat everything.
An example of a complex workflow for a lost card that a tool like Lorikeet AI is designed to handle.
How to evaluate Lorikeet AI for your business
So, Lorikeet AI is powerful. No doubt about it. But is it the right tool for your team? A fancy engine doesn’t do you much good if it takes a year to install or if you can’t afford the fuel. Here are the practical questions to ask when you’re looking into it.
How long will Lorikeet AI actually take to set up?
One of the first things you’ll see on Lorikeet’s website is a big "Book a custom demo" button. That’s pretty standard for enterprise software, but it’s also a clear sign that you’re looking at a high-touch, sales-led process. Powerful systems often need a lot of hand-holding, professional services, and a few months of implementation before you start to see any real benefit.
If your team needs to get moving quickly, that can be a deal-breaker. This is where you see a big difference with platforms like eesel AI, which are built so you can do the setup yourself. The ability to connect your help desk and be up and running in minutes can be a lifesaver if you don’t have the time or budget for a huge implementation project.
What’s Lorikeet AI going to cost me, really?
Lorikeet AI doesn’t post its pricing online. Again, that’s normal for enterprise tools, but it makes it almost impossible to figure out your budget ahead of time. You have to go through their whole sales cycle just to get a quote. That lack of transparency can hide unpredictable costs, especially if their pricing is based on how many tickets the AI resolves. What happens if you have a great month and your resolution volume doubles? Your bill could jump without warning.
This is a stark contrast to solutions with clear, public pricing tiers. For example, eesel AI has transparent pricing that doesn’t charge you per resolution, so you don’t get penalized for being successful.
With Lorikeet AI, who’s actually in control?
Lorikeet’s workflow engine is obviously capable, but the million-dollar question is: who gets to use it? When you need to update a process, change the AI’s tone, or add a new knowledge source, can your team just log in and do it? Or do you have to send a request to Lorikeet’s professional services team and wait for them to get to it? Being dependent on your vendor can seriously slow you down when you need to adapt.
If you want full control, you need a platform with an accessible workflow engine. Tools like eesel AI give you a simple prompt editor and let you add your own custom API actions, so your team can make changes on the fly without needing outside help.
| Feature | Lorikeet AI (Inferred) | eesel AI |
|---|---|---|
| Onboarding | Sales-led, custom demo required | Self-serve, live in minutes |
| Pricing | Opaque, custom quote needed | Transparent, tiered plans |
| User Control | Likely needs professional services | Fully self-serve workflow engine |
| Knowledge Sources | Help centers, internal tools | 100+ integrations (past tickets, docs, etc.) |
| Testing | Mentioned as a feature | Robust simulation on historical tickets |
Why teams are choosing eesel AI for control and speed
While Lorikeet AI is built for huge companies with deep pockets and long timelines, many teams are looking for something just as capable but way easier to manage. For them, things like speed, transparency, and self-serve control aren’t just nice-to-haves; they’re essential. This is where a solution like eesel AI really stands out.
It learns from everything, not just your help center
One of the biggest wins with eesel AI is its ability to learn from all your company knowledge, instantly and automatically. It doesn’t stop at your help center. It connects to your past tickets in Zendesk or Freshdesk, your internal guides in Confluence and Google Docs, and even your macros. This means that from day one, its answers are spot-on and sound like you, because it’s learning from how your best agents have already handled real customer problems.
Test it out with confidence, then roll it out slowly
Deploying a new AI can be nerve-wracking. How can you be sure it’s going to work? eesel AI takes the guesswork out of it with a powerful simulation mode. You can test your AI setup on thousands of your own past tickets in a safe environment. The dashboard gives you a clear forecast of its resolution rate, shows you exactly how it would have answered each ticket, and even points out gaps in your knowledge base. It completely de-risks the launch and gives you the confidence to turn it on.
A workflow engine you can actually control
With eesel AI, you’re always in the driver’s seat. The dashboard gives you fine-grained control over the whole process. Using a simple no-code editor, you can decide exactly which types of tickets the AI should touch, set up custom actions like tagging tickets or looking up order info with an API, and tweak the AI’s personality or when it should escalate to a human. It’s designed to make your support team’s life easier, not make you dependent on developers.
Is Lorikeet AI the right tool for your team?
Lorikeet AI is a serious, well-funded tool, and it’s a solid choice for large companies that have complex support needs and are ready for a guided, long-term implementation. It’s built for precision in environments where you can’t afford a mistake.
But for most support teams, things like how fast you can get started, what it’s going to cost, and how much control you have are just as important as raw power. The best AI partner isn’t always the one with the most complicated engine; it’s the one that helps your team get more done without creating new headaches. The goal is to find a tool that works for you, not one that makes you work for it.
Hear directly from Steve Hind, the co-founder of Lorikeet AI, about his journey and the vision behind the AI support platform.
Get started with an AI that puts you in control
Ready for an AI support agent that you can set up in minutes, not months? Connect your helpdesk and see what’s possible with eesel AI today. Start a free trial and see what self-serve automation feels like.
Frequently asked questions
Lorikeet AI is designed specifically for large companies, especially those in regulated fields like fintech or healthtech that require strict adherence to procedures. If you have complex, multi-step support workflows and are prepared for a guided implementation process, it could be a strong choice.
Unlike basic chatbots that primarily answer questions by citing help articles, Lorikeet AI is built to perform actions. It can execute complex, multi-step tasks from start to finish, such as processing a full refund or issuing a replacement card by integrating with your other business systems.
Its core architecture is built to follow your company’s Standard Operating Procedures (SOPs) without deviation. This focus on procedural correctness helps prevent the AI from "hallucinating" or providing incorrect information, which is critical in highly regulated environments.
Given its enterprise focus and sales-led approach, you should anticipate a significant implementation period requiring professional services from their team. It’s not a self-serve tool you can set up in an afternoon; it’s a high-touch system designed for custom deployment.
It is designed to recognize its own limitations and will intelligently escalate issues it cannot solve to a human agent. Crucially, it passes along the full context of the interaction and what it has already attempted, so your team can take over without making the customer repeat themselves.
Yes, a key feature is its ability to integrate with external systems to take action. It can connect to help desks like Zendesk to manage tickets or payment platforms to process transactions, allowing it to work within your current tech stack.
