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Use Case Creation

With our help, you can identify the use cases that offer the greatest added value for your company in terms of costs and benefits.

Profitable use of AI through use cases

If a company wants to take advantage of the benefits of Artificial Intelligence (AI), it is crucial to identify, evaluate, and ultimately implement suitable use cases. However, this is much more complex than it may seem at first glance.

First, certain prerequisites must be met for successful and efficient use of AI, including the availability and quality of data, as well as the possible integration of AI use cases into existing business processes and IT systems, as well as user acceptance.

Even if these requirements are met, identifying and evaluating use cases can still be a challenge. Without the necessary expertise and experience, use cases can be incorrectly or incompletely assessed, leading to incorrect decisions about costly development phases.

Ultimately, the goal should not be to find the most impressive use case, but rather those with the best cost-benefit ratio. This requires not only knowledge of the company and its products but also experience in AI theory and the identification and implementation of AI use cases.

What is a use case portfolio?

The Use Case Portfolio is based on a methodology applied by appliedAI for the identification, description, and evaluation of AI use cases.

The starting point for each use case is a customer problem that should be solved using AI. In the first step, the problem statement is defined, and requirements and characteristics are described along different dimensions, such as data complexity, technical feasibility, or business value. This is done through idea generation and scoping workshops with relevant stakeholders from the business and IT departments.

In the next step, this information is transferred into a standardized model to perform a cost-benefit analysis and technical feasibility evaluation. The result is a portfolio of use cases described, evaluated, and prioritized based on their added value, ready for decision-making on implementation.

The individual phases of creating the AI use case portfolio.

Identification of suitable use cases

During this phase, the goal is to describe an idea or problem for an AI use case as concretely as possible. This involves analyzing the available data and making an assessment of what additional data may be needed. 

Typically, interviews with relevant departments are conducted to complete the assessment. At this point, it is determined whether there is enough data in sufficient quantity and quality to implement the use case.

Scaling of the use case

After identification and initial evaluation, the use cases are further defined along Use Case dimensions developed by appliedAI. This creates the first prerequisites for implementing the Use Case. 

For example, it is checked which AI algorithm may be suitable, what data preprocessing will be necessary, which ML-Ops approach could be used, and in which environment the AI solution should be integrated. 

At the end of this second phase, a use case is described in such a way that a decision can be made for a technical implementation of the use case.

Evaluation of the use case

In this final phase, the use case is evaluated based on the added value it can generate. In addition to the technical feasibility resulting from the previous phase, an estimation of the economic benefits is conducted. This results in the estimated cost-benefit ratio of a use case

Optionally, a risk assessment of the use case can also be performed in this phase according to the upcoming EU AI Act regulation. Assigning the use case to the correct risk class ensures that all legal requirements are known and complied with.

Our Offers

Use Case Portfolio Creation

appliedAI experts work together with your AI experts and departments to create your Use Case Portfolio and discuss with you the optimal approach for implementation, or identify potential partners for implementation.

  • Department or product-specific analysis for potential AI applications
  • Development of use cases
  • Evaluation of use cases
  • Portfolio discussion and strategic analysis
  • Roadmap development

Let’s talk about your need now

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Use Case Identification Training

A Train-The-Trainer workshop for employees who are responsible for identifying use cases in their respective areas. We are talking about translators or AI ambassadors.

In 4-8 hours, the necessary knowledge will be imparted on how to identify and specify use cases according to the method we use internally as well.