AI Agent Development (Use Case Development)

Service scope:

• Use Case Discovery & Definition: Appropriate high-impact business scenarios suitable for automation.
• Agent Architecture & Design: Designing the Appropriate Large Language Model (LLM), Designing the Agent's Persona, and Designing Its Capabilities.
• Tool & Skill Integration: developing and connecting APIs, plugins, and enterprise systems (CRM, ERP, databases) that the agent can invoke to retrieve data or execute tasks.
• Memory & Context Management: Remembering for the Agent to Retain Information including Both Memories (for Conversation Context) and Long-Term Memory (vector) databases).
• Prompt Engineering & Logic Configuration: Crafting the System Guidelines, Instructions, and Constraints That Guide the Agent's Behavior. Combining the Agent Adheres to Business Rules, Tone of Voice, and Safety Guidelines.
• Evaluation & Testing: Rigidity testing the agent's performance against specific metrics (accuracy, latency, task completion rate) to ensure it handles edge cases and complex scenarios Deploy before deployment.

1: Discovery & Scoping Identify the “Pain Point”, Define Success Metrics, Data & Tool Audit 2: Design & Prototyping Design the Agent Persona, Map the Workflow, Develop the Prototype 3: Development & Integration Testing Tool Calling, Configure Memory, Refine Testing 4: Testing & Validation Functional Testing, Red Teaming, User Acceptance Testing (UAT)