Discover the power of automation with agentic AI agents for internal business processes that serve your end customers.
Have a service chatbot that never sleeps, allowing your customers to have speedy, accurate support 24/7/365.
Prompt and deploy your chatbot within minutes not days - deliver better automation, quicker while saving resources.
With HALO, you create, automate, and control your AI in human language, making it possible for anyone on your team to enhance customer experience without worrying about technical barriers.
How to create AI agentsEquip your AI agents with tailored tools and resources for seamless integration with your systems via APIs, web browsers, and applications- ensuring smooth implementation.
Request a demoHalo gives you complete visibility into your Agents' behaviour and performance. You'll know exactly what actions they've taken and why, allowing you to step in or offer feedback whenever it's needed.
How do agents work?No need to bring your own LLMs
Your data will not be used to train LLMs
No hallucinations or prompt injections
No PII is shared with our LLMs
LLMs hosted in Europe
The possibilities with AI agents are endless. Here are a few of our favourite use cases.
Request a personalised demo and, you'll see how easy it is to create, manage, and optimise AI agents that fit your unique needs. Whether you're looking to streamline customer support, automate marketing campaigns, or improve operations, our demo will give you a clear vision of how HALO can make it happen.
Agentic AI is a type of AI that can act autonomously to accomplish tasks. This means that AI agents can make decisions and take actions on their own, and they can even learn from themselves to improve over time.
Agentic AI can think, learn and adapt without needing constant interference or redirection. 'Agentic' means 'agent-like behaviour, such as expressing agency or control on one's own behalf'.
An important component of Agentic AI are AI agents. These AI agents act as virtual employees with a certain degree of autonomy within the Agentic AI framework, designed to perform tasks on behalf of the business.
There are many types of AI agents, from agents that can help with order management to streamline services, give shopping advice to help convert and boost sales, and much more. And there is no real limit to how many AI agents a business can create.
So, how does one control AI agents? First, with a platform that has governance or quality assurance options, by setting clear objectives, and implementing role-based access. This makes sure that there is no unauthorised use possible with the AI tooling. And secondly, by actively monitoring the performance of the AI agents. Use dashboards to keep track on behaviour and results, and tweak the AI agents accordingly to make sure everything works seamlessly and results keep improving.
