Agentic AI: Master 5 Steps to Future-Proof Your Job! (Case Studies: Hargeisa & Somalia)

STOP doing mundane tasks! Agentic AI enables systems to make decisions and take actions independently. Discover how this new technology is revolutionizing job roles in Hargeisa and Somalia, and master the 5 essential steps to future-proof your career against the coming AI shift.

Introduction

Agentic AI is a type of (AI) that not only responds to commands, but is also capable of making decisions and taking actions independently. This article discusses what Agentic AI is and how it differs from other AI that we use to ask questions or prepare documents, the opportunities and challenges it brings, and specific examples of its use in Somaliland and Somalia. One day, there was a man named Mohamed, a big businessman who lived in the city of Hargeisa, he had a business. Early in the morning, a WhatsApp message came to him with a request: "Please send me a daily report on sales, and the required goods, and the schedule of employees". If Mohamed had used Agentic AI, instead of doing it himself, the AI ​​would have done.

1. Agentic AI has the ability to collect data quickly

2. It would analyze the most popular products for example all purchases made today or the most purchased today.

3. It would check if the employee is on vacation today or if he is coming to work today.

What is Agentic AI?

Agentic AI is a type of AI that has decision-making, understanding, reasoning, taking action, and improving. For example, if you use Agentic AI, it will make many time-consuming tasks easier.

How Agentic AI Works

This is how Agentic AI works.

1. Detection

Agentic AI is able to collect data from various sources, for example, user data, or environmental data.

2. Analysis

Agentic AI Analyzes or evaluates data.

3. Action Taking

Agentic AI interacts with programs such as APIs to perform actions or commands, for example, sending an email.

4. Learning

When an action is taken, Agentic AI evaluates or observes the results, learns from mistakes, and modifies future procedures.

Agentic AI vs Generative AI & Automation

1. Generative AI: Focuses on making us texts, images, etc.

2. Automation/ RPA (Robotic Process Automation): Is based on pre-written rules, but it is not capable of making decisions and is also very intelligent.

3. Agentic AI: Is a combination of both: it takes on automated tasks with the ability or power to make decisions.

Agentic AI Opportunities & Examples for Use in Somaliland / Somalia

1. Customer Service

Agentic AI allows us to respond to customer requests, and resolve customer issues without anyone having to spend time on them. It also manages service companies to handle customer inquiries.

2. Supply Chain / Logistics

For example, when an obstacle appears on the road or a car accident occurs, Agentic AI is able to change the route so that traffic can pass, because Agentic AI quickly gives commands.

3. Health

Agentic AI can remind a patient that they have an appointment, for example, you are going to the doctor today and he will interview you.

4. Agriculture & crop planning

Agentic AI analyzes or reports data such as whether it will rain today, environmental conditions such as whether the ground is hot or cold today, and also advises farmers on when to plant crops, when to harvest crops, and when to water plants.

5. Accounting & Finance

Agentic AI can handle registration and response to public requests and management or administration.

Challenges & Risks of Agentic AI

1. Liability & Legal

If Agentic AI makes a mistake, for example, if it makes a wrong decision in a hurry, there will be no one to take responsibility and it will be difficult to determine. This is one of the biggest problems with Agentic AI. What if Agentic AI gives wrong financial advice that causes the company a huge loss and the company suffers a major decline.

2. (Privacy & Security)

Agentic AI has access to a lot of data such as personal data, financial data but if that data is hacked, big problems can occur.

3. Data Quality

If the data being entered into Agentic AI is incorrect or incomplete, Agentic AI will produce incorrect and inaccurate data, so be aware of this now.

Tips & Steps to Prepare

1. Start small experiments (pilot projects)

So to reduce risks and identify existing vulnerabilities, you need to learn how Agentic AI works. For example, first choose a simple and important task, such as a one-day summary report, then start with one small, concise paragraph or article before expanding on the information.

2. Clean & organized information

If the data is not correct, Agentic AI will receive incorrect data, so before sending the data, update it and make sure it is good data and perform data cleaning to ensure that it is clean data.

3. Develop people's skills (training / skilling)

Users or administrators must understand how Agentic AI works and learn it first.

Conclusion

Agentic AI is a major symbol of a major shift in the world of technology, moving away from AI tools that only provide recommendations. To achieve great success with Agentic AI, the following points must be implemented:

1. Start with a very small project before it gets too big because you will learn all the intricacies.

2. Set clear rules and boundaries that say Agentic AI can do things where humans can.

3. Make sure your data is clean and taken from reliable sources so that there are no problems later.

4. Provide training to introduce how Agentic AI works so that people understand it, such as users, administrators, and the IT or security team.

Ultimately, Agentic AI is a powerful tool, but like other powerful tools, if not guided, it can cause major problems. Anyone who wants to benefit from technology must first realize that success does not depend on technology but on human decisions.