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

Enterprise AI Agents with Tencent ADP

• Understanding enterprise AI agents and their value proposition
• Tencent ADP features for agent development, knowledge integration, and workflow automation
• Distinguishing between agent-based solutions and standard chat applications
• Typical enterprise use cases and implementation considerations

Designing Agents for Business Processes

• Defining agent roles, limitations, inputs, and outputs
• Selecting between single-agent and multi-agent architectures
• Structuring prompts, tools, and business rules
• Planning for escalation, human oversight, and system reliability

Building RAG and Knowledge Workflows

• RAG principles for accurate answers and access to enterprise knowledge
• Preparing documents, policies, and internal content for retrieval
• Designing retrieval flows and response grounding patterns
• Testing and refining answer quality over time

Orchestrating Workflows and Integrations

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

Applying Operational Safeguards

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

Monitoring, Evaluation, and Continuous Improvement

• Tracking quality, latency, costs, and workflow success metrics
• Testing agent behavior across realistic business scenarios
• Diagnosing common RAG, workflow, and orchestration issues
• Developing an implementation plan for pilot and production adoption