> ## Documentation Index
> Fetch the complete documentation index at: https://docs.nuwacom.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Identifying Use Cases

This guide helps you recognize meaningful AI use cases in your company and implement them successfully.

### What makes a good AI use case?

Strong use cases are situations where AI agents or workflows improve the quality of your work or product and/or reduce effort and time to results.

**Tip:** Start with horizontal use cases—those relevant across teams. They offer several advantages:

1. **Shared understanding:** Acceptance increases when everyone can relate to the problem.
2. **Less customization:** Horizontal use cases typically require fewer individual adjustments.
3. **Faster start:** Highly specialized use cases demand more know-how. Begin with simple, scalable solutions to build experience.

**Examples:** Email assistant, document summarization, translations—practical in almost every organization and significantly easing everyday work.

***

## How to find suitable use cases

### **1. Experiment & understand AI capabilities** 

<img src="https://mintcdn.com/nuwacomgmbh/y7RckkpWyYIF7ayw/images/Frame1254.png?fit=max&auto=format&n=y7RckkpWyYIF7ayw&q=85&s=7736554e1f0d2a74ef460b492ffede77" alt="Frame 1254.png" width="1526" height="788" data-path="images/Frame1254.png" />

\
Let users experiment with AI and showcase concrete examples. New ideas for agents and workflows will emerge organically.

**Typical AI capabilities:**

| **Text**         | **Images**   | **Audio (coming soon)** | **Data Analysis**                 |
| :--------------- | :----------- | :---------------------- | :-------------------------------- |
| Write            | Create       | Transcribe              | Extract data                      |
| Summarize        | Analyze      | Speak                   | Perform analyses and calculations |
| Analyze          | Describe     |                         | Identify patterns                 |
| Answer questions | Extract text |                         | Create tables and diagrams        |

### **2. List daily task**

Ask users to write down 5 recurring, time-consuming tasks from their workday.

### **3. Collect & cluster tasks**

Gather tasks in a team session and group similar activities. Overlaps are opportunities for shared solutions.

<Info>
  Tip: Use digital whiteboards (e.g., Miro, Mural, FigJam) for idea collection.
</Info>

### **4. Match tasks with AI capabilities**

Link the collected tasks to the right AI capabilities. Example: translations require text generation, summaries require text analysis and compression.

### **5. Prioritize: What to implement first?**

<img src="https://mintcdn.com/nuwacomgmbh/y7RckkpWyYIF7ayw/images/Impact-Feasibility-Matrix.png?fit=max&auto=format&n=y7RckkpWyYIF7ayw&q=85&s=ed23fb10dc0a77b8e58d90bfc865eb19" alt="Impact-Feasibility-Matrix.png" width="1546" height="788" data-path="images/Impact-Feasibility-Matrix.png" />

Don’t try everything at once. Focus on a few impactful use cases. A proven approach is using a 2x2 matrix with Feasibility and Impact:

**Feasibility:**

* **Effort:** Low effort = faster implementation
* **Data availability:** Are the necessary data available and usable?
* **Integrations:** Do interfaces or APIs need to be connected?

**Impact:**

* **Time savings:** How many hours can be saved?
* **Quality improvement:** Will the result be better, more accurate?
* **Customer satisfaction:** Will service quality improve?
* **Financial effect:** Can costs be reduced or revenue increased?

<Note>
  **Start with low-effort, high-impact use cases.**
</Note>

### **6. Document & implement**

Record results in a table listing all use cases, required AI capabilities, effort, impact, owners, and next steps.

Here’s the extracted text from the table, translated into English:

| ID | Opportunity / Problem                | Solution Space          | Use Case Title                         | Value | Ease |
| :- | :----------------------------------- | :---------------------- | :------------------------------------- | :---- | :--- |
| 01 | High time effort for FAQ maintenance | Knowledge Search & Chat | FAQ Auto-Updater                       | 4     | 3    |
| 02 | Long response times in support       | Text automation         | Response Generator for Support Tickets | 5     | 4    |
| 03 | Time-consuming market trend research | Research automation     | AI-powered Trend Summary               | 3     | 2    |

### **7. Build use cases together**

Implement first cases as a team to build familiarity. Afterwards, let users work independently or in small groups. 1–2 weeks is ideal for first experiments.

**Follow-up:** Support users, gather feedback, and share best practices in team meetings.

<Note>
  **Important:** Not every use case works perfectly right away—this is part of the learning process. Stay open to adjustments.
</Note>

## Summary

With [nuwacom](http://nuwacom.ai), you create the foundation for productive, secure, and scalable AI adoption by identifying use cases that deliver real value and can be implemented with ease.