AI Agents the New Apps

25 years ago everybody was obsessed about getting on the web. 15 years ago the hype was around apps. Today all the love is going to AI agents. What does this mean for your company, and how can you leverage this? As the leaders and innovators of this shift, we'll try to explain.

What is an AI Agent?

An AI Agent is an AI chatbot that can execute functions. Such functions can be for instance.

Order a flight ticket
Send an email
Create an invoice
Etc

By combining your LLM with a platform such as Magic Cloud, you can turn an AI chatbot into an AI assistant that helps you with your daily tasks. What tasks you want for your AI agent to help you with is individual and depends upon your requirements. However, an AI agent can at least in theory execute any task a human being can do, and it never goes tired, asks for a raise, or needs a vacation.

Why this matters?

A well created AI agent can replace dozens of apps, with a single point of interaction, based upon natural language. This allows you to combine apps together, and leverage multiple apps through one interface. In addition it makes the graphical user interface (GUI) obsolete, since an AI agent can at least in theory perform an infinite number of tasks, replacing complex graphical user interfaces with a simple textbox.

This makes the user interface for an AI agent superior, since it completely eliminates any learning curve required to interact with your apps. If you need to know what a specific AI agent can actually do, you can just ask it, and have it guide you through the process of helping it execute your tasks.

How to build an AI Agent?

AI agents are much easier to build and create than a traditional app. First of all, the GUI is the same regardless of what your app does; A textbox input field, a surface to render the response, and a button to submit tasks. 3 simple elements that are the same for every single AI agent you build.

In addition the backend is also the same for all AI agents you build. They need to interact with an LLM of some sort, they need to be able to recognise function invocations from the LLM, and execute these if the LLM is returning function invocations back to your backend. The only thing that separates AI agents from each other, is how easy it is to create such AI functions in your backend.

With Magic Cloud, creating such functions is very easy, and AINIRO can wrap dozens of such functions into an AI agent in some few hours.

Outsourcing consequence

If you've got an outsourcing company building websites or apps for clients, you typically make a living from selling hours. When the number of hours to deliver a project is reduced from 200 to 2, this obviously has consequences for your business. There's just no way you can continue operating under the same business model as you've been pursuing previously. The only way forward for you, is to pivot your business from selling hours and software developers to becoming a cloud service provider.

Thousands of outsourcing companies will go belly up not able to embrace this change, unless they prepare by embracing this change, allowing them to build and deliver AI agents. So far the existing lack of good software developers have shielded software developers and outsourcing companies for the effects of this, but this will not last forever.

Opportunities

If you've got an existing software development company, you already have most of the resources required to deliver AI agents. However, since your future revenue model is no longer based upon selling hours, but instead monthly hosting fees - You will need knowledge not previously available to you, such as how to run and operate a cloud service provider, managing Kubernetes clusters, and dealing with dozens if not hundreds of heterogeneous software projects.

The advantage is that if you are successful pivoting your existing business, your ability to generate revenue is no longer tied to the number of man hours you can sell. This is a much more scalable business plan, since if you make one sale, chances are that your client is going to keep paying your hosting fees for decades to come. The end result becomes that you can deliver maybe 5 hours of work, while earning 10 years of monthly recurring revenue for its hosting parts.

If you've got an existing client base, you can leverage this as your foundation to get started. Research shows it's 20 times easier to sell an additional project to an existing client, than to sell a product to a new client. This allows you to pick up the phone, call your existing clients, and easily sell dozens of such hosting plans, delivering AI agents to your existing clients.

How to get started

First of all, if you're only thinking about the above question now it's already too late. At AINIRO we've been creating and implementing a platform that allows for creating AI agents for years. There are also hundreds of other companies out there having spent huge amounts of resources on the same. Some of these companies have hundreds of millions of dollars in VC funding, and there's simply no way you can catch up with them. If you're only now starting to build AI agents, you're way too late to the party.

The good news is that a lot of these companies having created their AI agent platforms are willing to white label their platforms. At AINIRO we allow for white labeling our entire platform. This allows you to hit the ground running, start out with a mature AI agent platform, deliver amazing AI agents, while sharing your revenue with us.

Wrapping up

AI agents will inevitably change our industry. Entire verticals will go belly up, and thousands of companies will not be able to make the transition. However, if you face these challenges with open eyes, honesty, and a willingness to face the truth - There are huge opportunities to be gained during this transition. If you want to discuss such opportunities with us, we'd love to talk to you. If so, you can book a meeting with us here.

Have a Custom AI Solution

At AINIRO we specialise in delivering custom AI solutions and AI chatbots with AI agent features. If you want to talk to us about how we can help you implement your next custom AI solution, you can reach out to us below.