.png?width=160&height=45&name=99%20-%20Logo%20horizontal%20-%20auf%20wei%C3%9F%20(1).png "motius"){kind=small}
Document AI Use Case Assessment: What is Technically and Financially Feasible?
With LLM-powered tools for internal document search (known as Document AI), you can make many internal processes more efficient. Fill out our Document AI Use Cases Assessment to discover the most promising use cases for your business.
Which Document AI Use Cases Boost Your Business? Find It Out in under 3 minutes:
Since the trailblazing success of the Large Language Model GPT, there has been a lot of experimentation with AI for businesses. Often, this is limited to optimizing core business processes (smart products, IIoT in production, etc.). With GPT, companies can also use AI for documents to make internal knowledge more accessible and efficiently utilized. This can accelerate or simplify numerous processes, such as onboarding, sales, maintenance, legal advice, or customer service, where there are numerous document intelligence use cases.
Until now, the intelligent digitization of such processes (especially for medium-sized businesses) often did not pay off. Developing the required quality of an LLM-based chatbot in these areas needed a significant development effort. Additionally, employees had to undergo lengthy training to use them. In relation to the number of salespeople, customer service representatives, and the like, the costs would not have been justified. With GPT, this has now changed.
Gain an overview of your possibilities with our Document AI Use Case Assessment. We show you what is achievable, how much development effort to expect, and whether the ROI is viable. After all, a good use case is measured by its profitability.
This Is What You Get:
| 3 Document AI Use Cases | We will send you three promising Document AI use cases and position them for you on a matrix (development effort / economic viability). Tailored individually to the needs of your organization. |
| Recommendations for next steps |
To get straight into action, based on your information, we recommend what you should do next to identify the best Document AI use case. |
Who Consults You: Dr. Estefanía Díaz
Estefania is a Ph.D. engineer and has been with Motius since 2022 as a Product Owner and Gen-AI Solution Architect. She is responsible for project management of LLM-powered tools and is well-versed in topics such as data security, output reliability, and access management of large language models (LLMs).
What Happens After You Filled Out Your AI Document Use Case Assessment?
You will receive an overview of relevant Document AI use cases and recommendations for the next steps from us within 2 business days. Why does it take 2 days? Predefined answers rarely hit the mark... that's why we take the time for an individual analysis.
Video: Are LLMs Worth the Hype?
Motius' AI Solution Architect, Alberto, shows how companies can add value by leveraging Large Language Models (LLMs). In the video, he discusses business cases and current challenges.
Document AI Deep Dive
Generative AI with LLMs has great potential, but there are also challenges. We discuss the functionality of Document AI and how specific challenges can be addressed.
Vector Databases + PrivateGPT
Exciting application fields for LLMs like GPT in the healthcare industry - and how you can securely process sensitive data using vector databases and PrivateGPT.