Most organizations have a large number of small, manual tasks that have become part of their daily workflow. Many of these tasks are not particularly complex in nature, but they are time-consuming and distract from the actual core work. Examples include retrieving and processing information, drafting meeting minutes, editing them, and saving them in the correct location; support tasks for various testing and quality control processes; or even preparing test data. These tasks are “tolerated” as part of daily work, even though performing them is not necessarily the best way to use experts’ time.
This is where a company’s own AI assistants can provide significant help. These comprehensive agents can automate many such repetitive and clearly defined tasks that are essential for the smooth running of daily operations but whose value alone does not justify hiring a separate employee. When AI assistants operate within the company’s own technical environment and under the company’s terms, the necessary data security and control over data processing can be ensured at the same time.
Many companies are already using off-the-shelf solutions, such as Microsoft Copilot. However, the challenge with these tools is often that data processing cannot always be precisely tailored to the organization’s needs. Furthermore, extending them to include business-critical functions can be difficult or, in some cases, even impossible.
The advantage of agents built for a company’s own use lies in their flexibility. When the foundation is well-designed, the agents’ capabilities can be developed and expanded in stages to meet the organization’s needs. This allows the solution to grow alongside the company’s operations and business.
In addition to automating tasks, AI solutions can also serve as a hub for sharing information across the organization. They can assist employees with questions they might not feel comfortable asking their colleagues – so-called “silly questions.” When an assistant has a sufficient understanding of the company’s operating methods and practices, it can provide quick answers to many everyday situations.
This can be particularly valuable, for example, in the onboarding of new employees. Artificial intelligence can handle a large volume of repetitive, basic questions, freeing up the time of the most experienced experts for work that adds more value.
When an agent is also equipped with a mechanism for continuous learning, it can help preserve an organization’s tacit knowledge. In this way, knowledge that is often lost when experts change roles or retire can be captured and made available for the entire organization to utilize.
This is how AI agents can improve an organization’s operational capabilities, support scalability, and ensure that critical organizational data is preserved and accessible to everyone.
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