Building Enterprise AI Agents with Tencent ADP: RAG, Workflows and Operational Guardrails Training Course

Enterprise AI Agents with Tencent ADP

• Understanding the role and value of enterprise AI agents
• Tencent ADP capabilities for agent development, knowledge integration, and workflow automation
• Distinguishing agent-based solutions from basic chat applications
• Identifying common enterprise use cases and delivery considerations

Designing Agents for Business Processes

• Defining agent roles, boundaries, inputs, and outputs
• Selecting between single-agent and multi-agent architectural designs
• Structuring prompts, tools, and embedded business rules
• Planning for escalation, human review, and system reliability

Building RAG and Knowledge Workflows

• RAG concepts for grounded responses and accessing enterprise knowledge
• Preparing documents, policies, and internal content for effective retrieval
• Designing retrieval flows and response grounding patterns
• Testing and refining answer quality over time

Orchestrating Workflows and Integrations

• Translating business processes into agent-driven workflows
• Connecting agents to APIs, internal services, and enterprise systems
• Managing decisions, approvals, retries, and fallback mechanisms
• Coordinating handoffs between workflow steps and specialized agents

Applying Operational Guardrails

• Implementing guardrails for security, privacy, compliance, and policy enforcement
• Mitigating risks from unsafe outputs, prompt injection, and sensitive data exposure
• Incorporating approval checkpoints, audit trails, and access controls
• Designing safe response patterns for high-impact business scenarios

Monitoring, Evaluation, and Continuous Improvement

• Tracking quality metrics, latency, costs, and workflow success rates
• Evaluating agent behavior across realistic business scenarios
• Troubleshooting common issues in RAG, workflows, and orchestration
• Developing an implementation plan for pilot testing and production adoption