Digital Talk by KLIK Group: Empowering Non-Engineer Teams to Maximize AI

How Important Is AI for Non-Engineer Teams?

To better understand the challenges faced by non-engineer teams, KLIK Group's AI Team first conducted an internal survey to understand how AI had been adopted by non-engineer employees and the challenges they still encountered.

The survey results showed that 74% of respondents had started using AI in their daily work. However, only 52% used it regularly, indicating significant opportunities to further optimize AI adoption.

Most respondents used AI to support work productivity, such as summarizing documents, translating text, analyzing information, and assisting with various administrative tasks. In addition, AI was also used for brainstorming new ideas and supporting simple data analysis.

On the other hand, the survey also revealed several of the most common challenges participants experienced when using AI, including:

• AI response accuracy (13 respondents)
• Difficulty creating effective prompts (8 respondents)

These findings became the foundation for developing the Digital Talk materials, ensuring that participants not only understood how to use AI but also learned how to obtain more relevant and accurate results.

AI Use Cases for Non-Engineer Teams

During this session, KLIK Group's AI Team explained that AI has evolved into a technology that can be utilized across nearly every business function, including non-engineer teams.

Some examples of its applications include:

1. General: AI can be used as a work assistant to help draft documents, summarize materials, translate languages, create meeting minutes, and generate creative ideas for various daily tasks.
2. Research: By providing documents as references, AI can help read document contents, identify important information, create summaries, and analyze the provided data.
3. Design: AI can help create design elements without requiring visual design expertise.

How Should We Use AI?

The main message delivered during the Digital Talk was to change the way we think about AI.

Rather than viewing AI simply as a tool, participants were encouraged to treat it as a discussion partner at work. AI produces significantly better results when it receives clear context, objectives, and instructions from its users.

This principle aligns with the Machine Learning concept known as Garbage In, Garbage Out (GIGO). In other words, the quality of AI-generated results is heavily influenced by the quality of the information and instructions we provide.

Prompting Frameworks for Non-Engineer Teams

One of the keys to maximizing AI is the ability to write effective prompts. During this session, participants were introduced to various prompt engineering techniques to achieve more optimal results for different needs. 

RISE Framework

The RISE framework is suitable for operational tasks and information processing.

Its components include:

• Role: Define the AI's role.
• Input: Provide the necessary data, documents, or references.
• Steps: Explain the steps the AI should follow.
• Expectation: Specify the desired final output.

With this structure, AI receives more complete context, enabling it to generate responses that better match the user's needs.

STAIR Framework

For communication and creative work, participants were also introduced to the STAIR framework, consisting of:

• Situation: Describe the background or current situation.
• Task: Define the task the AI should perform.
• Aim: Explain the desired objective.
• Instruction: Provide rules or constraints for completing the task.
• Reference: Include examples or references for the AI to follow.

This framework helps AI understand the context more comprehensively, resulting in more consistent outputs.

Maintaining Data Security When Using AI

In addition to discussing productivity, KLIK Group's AI Team also emphasized the importance of using AI responsibly, especially when working with company data.

This serves as the most fundamental security practice to ensure data remains protected and AI responses stay aligned with the intended objectives.

Several important considerations include:

Protecting Data Confidentiality

To safeguard confidential company information, the following practices should be applied when using AI:

• Data Privacy: Avoid entering sensitive company data directly into AI. Ensure confidential information, such as company strategies, financial data, and company & client names, remains protected.
• Anonymization: Replace sensitive details with generic information.
• Company Policy: Always ensure AI usage complies with company standards.
• IP Ownership: AI-generated outputs do not carry full copyright ownership, so they should be modified to maintain originality.

Verifying AI Output

To ensure the accuracy of AI-generated results, the following practices should also be applied:

• Fact Verification: Always remember that AI is only a tool to assist your work. Stay actively involved throughout the process, as humans remain the primary editors and decision-makers.
• Grounding Instructions: Use constraints to ensure AI stays aligned with the intended results, such as instructing AI to answer only based on the provided documents.
• Source Citation: Ask AI to include reference sources so the information can be verified more easily.
• Chain of Verification: Instruct AI to review and verify its own reasoning before providing the final answer.

By following these practices, AI can be utilized more securely without compromising the quality of work.

Make AI Your Assistant, Not Your Replacement

As a closing message, KLIK Group's AI Team reminded participants that successfully leveraging AI depends not only on the sophistication of the technology but also on our ability as humans to provide the right guidance.

"AI is not your replacement. It is like an intern waiting for clear instructions."

Through this Digital Talk, KLIK Group hopes that all employees, both technical and non-technical, will be able to use AI wisely, productively, and responsibly.

With the right understanding, AI can become a workplace partner that helps accelerate workflows, improve the quality of outcomes, and support KLIK Group's digital transformation journey.