Step into a New Era of Efficiency and Success with the Power of AI Agents

In today's technology-driven business world, the adoption of Artificial Intelligence (AI) has become a crucial factor in building a competitive edge for organizations in Thailand. Among the wide range of AI tools and solutions, AI Agents have emerged as a standout technology with their ability to analyze, plan, and autonomously execute tasks. AI Agents are set to transform the way organizations of all sizes and industries operate.

This article is based on real-world experience from the team at Beryl 8 Plus, who have worked with organizations across industries and sizes to implement AI Agent systems. What you’re about to read is not just textbook theory—it’s a practical approach that we know works in the real world and delivers tangible results.

We’re excited to share the mindset and methodologies behind how we empower organizations with AI Agents, through what we call the AI Agents Enablement Approach, which consists of three core phases to help your organization adopt this technology effectively.

AI Agents Enablement Approach: The 3-Step Path to Success

1. AI Discovery: Identifying Business Use Cases

The first step to adopting AI Agents is understanding your organization’s needs and pain points. This phase focuses on identifying use cases aligned with your organization’s AI vision. The process includes:

1. Ideation: Conduct brainstorming sessions to explore use cases where AI Agents can solve problems or enhance operational efficiency.
2. Assessment: Evaluate the shortlisted use cases based on business value and implementation complexity.
3. Prioritization: Group similar use cases and prioritize them based on your business strategy. Tools such as the AI Prioritization Matrix can support better decision-making.
   Note: This step may involve iterating and refining use cases during the assessment phase to ensure they are aligned with organizational goals.
4. Execution: Move forward with the top-priority use cases to the development phase, where AI Agents are built to meet specific business needs and are prepared for real-world deployment (Production Stage).

2. AI Development & Operations: Designing, Building, Piloting, and Running AI Agents

Once the right use cases are identified, the next step is to develop and operationalize the AI Agents. This stage includes four key activities:

1. Design AI Agent Solution: Architect the AI Agent’s workflows, data flow, and user interactions to address the targeted use case. Selecting the right type of AI Agent is essential, and options include:
   • Solo Agents: Ideal for single-step automation tasks, such as email sorting.
   • Orchestrated Agents: Suitable for structured, rule-based processes like loan approvals.
   • Multi-Agent Collaboration: Best for tasks requiring specialized expertise, where multiple agents collaborate—e.g., one extracts text, another verifies accuracy.
   • Agent-to-Agent Handoff: Useful for sequential task assignments, such as customer service where a chatbot transfers to a human expert when needed.
   • Human-in-the-Loop: Appropriate for scenarios requiring human oversight—e.g., medical diagnostics where AI provides recommendations, and doctors make final decisions.
2. Develop AI Agent Solution: Build the AI Agent according to the design, leveraging ready-to-use platforms to speed up development—such as the BE8 AI Agentic Platform, which supports both voice and non-voice channels, customizable goals, commands, and tools through a user interface. It also features embedded knowledge management to enhance agent responsiveness.
3. Launch Pilot AI Agents: Deploy AI Agents in a limited real-world setting to assess performance and outcomes.
4. Operate AI Agents: Once tested and refined, roll out AI Agents organization-wide. This involves more than just activating the technology—it includes training employees, adjusting workflows, and communicating clearly so the team understands the roles and benefits of AI Agents in real-world operations.
   Ongoing maintenance and continuous improvement are also essential to ensure long-term effectiveness and alignment with evolving organizational goals.

3. Loop Feedback: Continuously Improve AI Agents

AI Agent deployment is not the finish line—it’s a starting point. Gathering data and feedback from real users is essential for continuous improvement. Enhancements may involve algorithm updates, expanding the training dataset, or redesigning interaction flows to better meet user needs.

Beryl 8 Plus - Your Strategic Partner from Day One

We understand that implementing AI Agents in Thai organizations is not without challenges—but it's also full of opportunity. That’s why we are here to walk alongside you every step of the way with tailored services that meet your needs:

• Confident Starts with AI Discovery: Our expert team works closely with you through interactive workshops to identify relevant use cases and help prioritize them—ensuring your AI journey begins in the right direction with measurable results.
• Scalable Success with AI Solutions: We go beyond advice—we help you make it real. With smart AI Agent solutions and automation tools, we streamline operations and enhance team performance. Our pre-built components and industry-specific AI solutions accelerate your deployment and reduce time-to-value.

Ready to get started?

Contact us today and co-create your organization’s future with the right AI Agents—supported by the dedicated experts at Beryl 8 Plus, every step of the way. Click!