In order to maximize benefits like increased business efficiency and value from the deployment of generative AI, it is essential to define use cases that are tailored to your business operations while considering the characteristics of generative AI. Companies that have yet to introduce generative AI, however, have no experience of using generative AI, making it difficult for them to think of specific use cases. That is why ABeam Consulting developed its “Generative AI Starter App.” It enables such companies to easily experience what it would be like to use generative AI in their business operations before full-scale deployment of the technology. With this app, ABeam Consulting holds a workshop to examine use cases. Doing so helps create operation-tailored, effective use cases and formulate a deployment plan. ABeam Consulting strives for the implementation of effective generative AI operations in a short timeframe and helps strengthen the competitiveness of its clients.
Use case creation support to improve business efficiency and value through Generative AI Starter App
Through an easy-to-use generative AI demo app, ABeam Consulting helps to create effective use cases and formulate a deployment plan in a short timeframe
Background
Acceleration of generative AI adoption in business and efforts to create business value
Large language models (LLM), which is one part of generative AI, acquire knowledge by being trained on large volumes of online text data. These models can perform a wide variety of tasks at human-level proficiency. LLM have already been deployed at many companies, helping to improve business efficiency and productivity.
One model in particular that is making headlines is the use of a Retrieval-Augmented-Generation (RAG), which can be trained on proprietary data. Successful use cases include reducing the time it takes for customer support to respond to inquiries, and refining large-scale investment proposals.
Generative AI is also excellent at analyzing large volumes of text data quickly and accurately. For example, generative AI has also been used to improve customer satisfaction by classifying and analyzing hundreds of cases of customer feedback (VoC) a day.
The use cases of generative AI and RAG systems are wide ranging given the combinations of business processes and data. In order to improve their impact, it is required to clarify business challenges and specific needs, consider the technical feasibility, and then define the use cases before formulating a deployment plan.
Challenges
We have an interest in generative AI but struggle to get out the gate as we cannot come up with use cases that deliver high business efficiency/value or a highly feasible deployment plan
Pitfalls
- Unable to comprehend the power of generative AI: As some companies do not have experience of using generative AI trained using proprietary data, they cannot picture its potential and what benefits they can get out of it in their business
- Unable to define effective use cases: It is difficult to think of specific use cases to bring benefits to one’s business operations while considering the power of generative AI
- Unable to draw up an action plan for deployment: It is difficult to formulate a feasible plan for realizing/deploying defined use cases, based on their technical implementation, cost effectiveness, and application to business processes
Approach
As mentioned earlier, a factor holding back companies that have yet to deploy generative AI is lacking opportunities to experience its use in business. That is why ABeam Consulting developed its “Generative AI Starter App.” It enables such companies to easily experience what it would be like to use generative AI in their business operations before full-scale deployment of the technology. Firstly, you will learn the power of generative AI based on this app. You will then take part in a workshop to examine specific use cases to showcase the benefits AI can bring to your business operations. ABeam Consulting defines useful use cases based on the outcomes of the workshop, and then formulates a deployment plan. ABeam Consulting quickly advances from the generative AI experience through the app to the formulation of a deployment plan, doing so in a minimum of seven weeks.
Key features
-
Understanding the power of data-driven generative AI with the Starter App
You can test out generative AI using the Generative AI Starter App, which has three functions: the ability to reference files, reference web pages, and batch process data. The app can easily import data and quickly demonstrate the power of generative AI.
-
Workshop to create use cases that help solve business challenges
Based on the experience with the Generative AI Starter App, ABeam Consulting holds a workshop to enable the extraction of business challenges and create generative AI use cases that will have a strong impact. ABeam Consulting examines use cases with high business value in considering the power of generative AI.
-
Formulating a highly feasible deployment plan
In order to bring to life the created use cases and ensure their thorough deployment, ABeam Consulting formulates a highly feasible deployment plan. This is done by considering the technical configuration, cost effectiveness, and the application of the use cases to business processes.
Quickly understanding the power of generative AI with the Starter App
Before creating use cases, ABeam Consulting’s Generative AI Starter App enables you to experience using generative AI with your actual data. The app has a function in which the user can register multiple PDF files or web pages and the app will respond to questions about them. Another function of the app is that it can automatically analyze large volumes of data such as customer feedback (VoC). Users can freely register files and analyze them, enabling them to check whether generative AI fits well with their company’s business operations.
Creating effective use cases based on the AI demo
Holding a workshop based with this app makes it possible to create high-value use cases that will contribute to solving business challenges. Workshop attendees reflect on the data used in the AI demo and share points and issues that they felt were effective when using the Generative AI Starter App. ABeam Consulting creates high-impact use cases by examining ideas that will deliver a greater pay-off or solve issues. This is all done while considering both the key features and constraints of generative AI.
Formulating a highly feasible deployment plan
ABeam Consulting designs a deployment plan for bringing to life the created use cases, considering the technical configuration, cost effectiveness, and the application of the use cases to business processes. For use cases that can be realized as an extension of the Starter App, ABeam Consulting offers a cost effective plan in the form of an upgrade to the Starter App. For use cases where the desired effectiveness may not be achieved without reviewing the relevant business processes, ABeam Consulting will provide a plan that includes transforming those processes. Even for completely new use cases not experienced through the Starter App, ABeam Consulting will formulate a plan that can be initiated from a low-cost PoC.
Click here for inquiries and consultations
Professionals