AI AGENTS
Wanna increase your revenue and net profit by integrating AI in your business processes? You’re in a good place. We know a thing or two about it and are ready to share our experience with you. And now, as AI agents are rising you have a chance to use that power to change the world.Front-end
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Back-end
Python
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.NET
What are AI agents
The short answer - your next big opportunity to get ahead of your competitors. AI agents are autonomous systems that can carry out specific tasks without human intervention. They even can improve over time based on their interactions with humans. Explore the world of agentic AI.
Simple reflex agents
02The type you definitely already interacted with, even if you don’t know it yet. They have a straightforward algorithm: you meet a condition - AI takes an action. Think of a smart office system that turns on the lights or a conditioner. This type of AI doesn’t have memory and cannot learn, but it doesn’t need to, to fulfil its role well
Model-based reflex agent
03Now, you should be careful with this one because it will remember everything. This type of AI agent can analyze the state of the environment and react based on the situation and its previous knowledge. The simplest example? A self-driving car with all its sensors that gather data before a decision is made.
Goal-based agents
04You want a proactive AI agent? There is nothing impossible if you put your mind into it. As the name suggests, they are actively pursuing the goals you set for them. Imagine a personal assistant that tracks your progress in a, let’s say, fitness app and gives you recommendations. I think you get the idea.
Utility-based agent
05The further we go, the more human-like AI agents get. Now, this one can evaluate all possible actions it can take and choose the most suitable for your goal. An example? Any kind of recommendation system, which are fairly popular nowadays. Just be careful to not let the preferable outcome for you and your AI agent to differ.
Learning agent
06As of now, this type of AI agent is the most progressive. Like those innovative programs used to diagnose diseases and create treatment plans for individual patients. It has a feedback mechanism that allows it to improve over time with every interaction and every decision it makes.
Case Studies
Want to know how it would work on real life examples? Look here:
AI Agent creates Viral Content from Google Trends
A sure way to gain attention and recognition? Deploy AI to create content based on trends. It will do all the work on its own, from finding things that excite the audience to generating all kinds of materials for your brand to stand on top. You will adore the result.
AI Agent creates Viral Content from Google Trends
Client reviews
We take pride in great levels of client satisfaction with our services. Please read some of the kind words which inspire us to work together.
Pricing plans
Interested but think that it will be too harsh on your purse? You don’t have to worry, as we at WiseVision did everything to make starting easy for you.Check out the options for starting your AI automation and development.
Process
We at WiseVision have refined a process of collaboration that gives people a chance to be an active part of their next great creation. It’s your call, every single detail is up to you. We are only here to lend you our expertise.Take the first step to the future with us as your guide.
Discovery and Planning
Before we get all fancy with algorithms, we need to know what we’re working to achieve. Whether it’s helping people book tickets, customer service, or predicting the weather, we make sure the AI knows its mission from the start. The clearer the goal, the better the AI performs. Just like all of us.
Design and Prototyping
Now comes the fun part - building the brain. Creativity meets technology in this phase. We choose your AI’s “personality,” its special skills, and how it will interact with the world. This is the most strategic part of the whole process too, as we need to prepare space for your AI to grow and scale.
Development and Integration
Time to hit the books! In this stage, our software engineers develop the algorithm that will guide our AI to complete the tasks we create it for. We also teach our AI to accomplish the tasks we created it for. We feed it data, let it practice, and guide it through learning patterns and making decisions.
Testing and QA
And after training it’s time for the big test. The "Can this AI really do what it’s supposed to?" kind of test. We put the AI through various real-world scenarios and see how it handles them. Testing helps us catch bugs and ensure our AI behaves just as expected, so that you have no unpleasant surprises when it goes live.
Deployment and Launch
It’s showtime! Your AI agent is officially ready for the job. But just because it’s live doesn’t mean we’re done. We ensure everything’s running smoothly, eliminate any issues that pop up, and tweak things for optimal performance. After all, everyone needs some good care to work perfectly.
Top 10 risks of AI agents and how we overcome them
Innovation is always a risk. But the reward is often more than enough to take that risk and it awaits only those who have the courage to go from the beginning to the very end. But that doesn’t mean that you should be ignorant of the risks or don’t plan to mitigate them.
Get consultation
Ready to dive into the world of AI agents? Because we’re just waiting for you here. Contact us to learn more about how your business in particular can benefit from AI agents.
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