There is a reality with the arrival of the GenAI to the company that we are all seeing, living, and building, which are Model-Based Agents LLM/SLM to solve specific tasks. The idea is to set up digital services with architectures RAGwith models LLM/SLM generic or ad-hoc trained, which use data internal to the organization, call internal functions using functions, and have specific data and response validators for a function.
Basically, what you do is adjust a GenAI Agent for a specific task, such as answering support questions, helping to do troubleshooting of a service, or create user tests for a certain tool. But they can also be created to provide support to employees of an organization about the company’s benefits, security procedures, privacy, or how to act in a difficult situation.
And this is being the field of work with the greatest entry of the GenAI Agents within companies. in the elimination of bots, websites or forms, so that employees and internal communication flows benefit from the use of the LLMs in making your daily life more “assisted” when it comes to resolving doubts, conflicts, or internal processes.
Figure 3: Microsoft 365 Copilot RAG architecture
This type of automation, which in the past was done with websites, forms, and then chatbotsis being the most widely accepted entry point for Digital Humans, using ultra-realistic avatars with developments in empathy, to create forms of internal communication within organizations that are much more human.
In a normal project of our friends at BeHumans of this type, the idea is to see what type of information, help, or processes a certain department of a company should offer, so that it can be served by a Human Digitall to the rest of the organization, making communication more agile. From requesting material for the workplace – a mouse, a keyboard, a disk USB -, even to resolve doubts about what can or cannot be done in the event of a certain security incident.
This way of creating Digital Humans as human interaction interfaces within departments makes everything more agile, allowing these GenAI step by step within the organizations, being at the beginning “chatbots evolved with GenAI“but as they have much more data and functions integrated within the architecture RAG of that GenAI Agentthe possibilities can be increased, gaining agility and efficiency in the work of a certain department.
Little by little we are going to have to get used to this new way of working in large companies, where we are going to count as “Coworkers“, to these “Digital Humans“, based in “GenAI Agents” that manage the data and functions of the company through architectures RAG.
And in the end they will be agents to solve functions and tasks quickly, helping you to make the time you waste in understanding and solving internal processes more and more agile, which in some organizations, knowing how to order a mouse or a battery cable from the Lost laptop can take a worker a day of internal processes, something that the new world will not allow companies to do.
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