Agentic AI for Enterprise Applications: From Design to Scalable Deployment

Introduction to Agentic AI

• What is Agentic AI?

• Agents vs traditional LLM apps

• Reasoning, acting, planning loop

• Tool usage & function calling

• Memory systems (short-term vs long-term)

Enterprise Application Landscape

• CRM, ERP, HR, Finance systems overview

• API-driven enterprise integration

• Event-driven enterprise architecture

• Data access and governance concerns

Core Agent Design Patterns

• ReAct framework

• Planner-executor pattern

• Reflection & critique loops

• Human-in-the-loop workflows

• Error handling & retries

Designing Secure Agent Architectures

• Context grounding strategies

• RBAC & access control

• Data privacy & PII handling

• Secure tool invocation

Hands-on Labs

• Build basic tool-calling agent

• Integrate mock enterprise API

• Implement memory store

• Add retry & fallback logic

Orchestration Frameworks

• Graph-based orchestration

• Role-based agents

• Multi-agent coordination patterns

• State management strategies

Workflow Automation in Enterprise Systems

• Ticket automation use case

• HR onboarding automation

• Sales opportunity qualification

• Finance approval workflow

Multi-Agent Collaboration

• Supervisor-agent pattern

• Task delegation strategies

• Shared vs isolated memory

• Conflict resolution

Observability & Debugging

• Logging agent decisions

• Monitoring tool calls

• Measuring success rates

• Latency analysis

Hands-on Labs

• Build multi-agent workflow

• Implement ticket triage system

• Add supervisor agent

• Integrate logging dashboard

Retrieval-Augmented Generation (RAG)

• RAG architecture patterns

• Vector search integration

• Chunking strategies

• Hybrid retrieval

Enterprise Knowledge Integration

• Integrating SharePoint / Docs / DBs

• Secure data connectors

• Access-controlled retrieval

Memory & Context Management

• Session memory

• Persistent knowledge stores

• Context window optimization

Handling Enterprise Risks

• Hallucination mitigation

• Prompt injection defense

• Data leakage prevention

• Guardrails implementation

Hands-on Labs

• Build RAG-enabled enterprise agent

• Integrate vector database

• Implement access filtering

• Add hallucination detection logic

Enterprise Deployment Architecture

• API-based agent deployment

• Microservices patterns

• Containerization

• High availability design

Security & Governance

• Authentication & authorization

• Data residency considerations

• Audit logs

• Compliance controls

Performance & Cost Optimization

• Token usage management

• Caching strategies

• Scaling concurrent sessions

• Throughput optimization

Evaluation & Monitoring

• Agent performance metrics

• Success rate tracking

• Feedback loops

• Continuous improvement strategy

Hands-on Labs

• Deploy agent as API

• Implement monitoring

• Optimize token usage

• Conduct performance benchmarking

Advanced Multi-Agent Architectures

• Specialized agents (Sales, HR, Finance)

• Cross-functional collaboration

• Task orchestration graphs

• Negotiation & coordination patterns

AI Operating Model for Enterprises

• AI Center of Excellence

• Governance committee structure

• Risk management framework

• Adoption strategy

Change Management & ROI

• Identifying high-impact use cases

• Measuring productivity gains

• Cost-benefit analysis

• Stakeholder alignment

Capstone Project – Enterprise Agentic System

• Define cross-functional use case

• Design multi-agent architecture

• Integrate APIs & knowledge base

• Add monitoring & governance controls

• Present architecture trade-offs

Upon completion of this program, participants will be able to:

• Design and implement enterprise-grade agentic AI systems

• Build multi-agent workflows integrated with enterprise APIs and data sources

• Deploy secure, scalable, and production-ready AI agents

• Implement governance, observability, and performance optimization frameworks

• Reduce manual workload through intelligent workflow automation

• Establish and operationalize an enterprise-ready agentic AI strategy