AI agents are revolutionizing customer service and client interactions, automating complex tasks. Such systems can help to position an organization for longer-term competitive advantage.
The advancement with AI means we are moving into a time when humans and AI agents can work together to not only help with the efficiency of repetitive administrative tasks but also personalise the employee experience.
Common types of AI agents:
- Simple reflex agents.
- Model-based reflex agents.
- Goal-based agents.
- Utility-based agents.
- Learning agents.
However, before businesses ‘employ’ AI agents to help manage hybrid workforces, systems need to be trained to make sure that their use aligns with company goals and objectives. How is this to be achieved?
AI agents are systems that are capable of autonomously performing tasks on behalf of a user or another system by designing its workflow and utilizing available tools. According to IBM, this extends to decision-making, problem-solving, interacting with external environments and executing actions.
Raphael Allstadt, CEO of AI notetaker platform tl;dv, explains to Digital Journal why we should be training our AI agents in the same way we would human employees so we can maximise productivity and efficiency with a hybrid workforce.
“We are now in an age where AI agents are going to become a big part of workforces, taking on roles that humans currently spend hours completing. This frees up human employees time to focus on tasks that require more importance or focus”, Allstadt observes
Businesses need to approach AI differently to previous generations of ‘machines’. According to Allstadt: “However, before implementing AI agents alongside human employees, many businesses must consider and understand that AI agents are not and will not be simple plug-and-play solutions. Many people believe that, like other types of technology, they are ready to use and will immediately benefit your business, but this is not the case.”
How can AI reach its full potential?
Embracing machine learning, Allstadt recommends: “Like human employees, AI agents require training and ongoing development in order to reach their full potential and effectively contribute towards company goals. Essentially, they need to be properly prepared for the task, as they are only as good as what you give them.”
Drawing on an example, the expert provides: “Think about it like hiring a human specialist in a particular field. You wouldn’t hire someone who knew nothing about the specialist subject, so you shouldn’t “employ” an AI agent in the same way.”
