From hype to reality: generative AI in document production
Document generation
Document generation
Generative AI has become one of the most talked-about technology topics in recent years. But while interest is enormous, many organizations face a challenge: they don’t know where to begin.
“How do we use it? What is safe? What is legal? What do we actually want to achieve with it?” all of these are important questions to address before getting started.
A concrete and practical starting point can be document production. Documents still take up a large part of everyday work — from case handling and reporting to communication with citizens and partners. Here, generative AI can be used as a tool to support tasks that are often time-consuming and repetitive.
What makes document production an interesting area is that it makes the use of AI more tangible. It moves the discussion away from big visions and into daily work, where AI can act as a sparring partner.
For many organizations, this can be a way to test the technology in a controlled environment, where the benefits are concrete and where end-users can quickly feel a difference in their work.
Generative AI in document production is not an end in itself, but a step toward understanding where and how the technology can create real value in practice.
With a solution like Omnidocs Create, data and information stay within a closed, local environment, where sensitive data is not exposed to the AI. Instead, isolated text snippets are used only to assist the user. This way, organizations can harness the benefits of AI without compromising on security.
Create generates text examples based on your preferences once the solution is set up.
Since AI is advancing rapidly, for many it’s no longer a question of if they will incorporate it, but how and when.
It all starts with these considerations. The next step is up to you, but it’s always a good idea to seek advice from experts, like Omnidocs.
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