Introduction to Agentic AI in Business
- What
is agentic AI?
- Agentic
AI vs RPA and traditional automation
- Business
benefits and limitations
- Enterprise
use cases
Agent Architectures & Patterns
- Goal-driven
vs task-driven agents
- Planner–executor–reviewer
patterns
- Single-agent
vs multi-agent systems
- Common
agent orchestration models
Identifying Automation Opportunities
- Process
mapping for agentic automation
- Selecting
high-value, low-risk processes
- Automation
readiness assessment
- ROI
and impact estimation
Designing Agentic Business Workflows
- Translating
processes into agent tasks
- Defining
goals, constraints, and success criteria
- Handling
dependencies and handoffs
- Exception
and escalation handling
Human-in-the-Loop & Governance
- Approval
gates and review steps
- Supervision
and override mechanisms
- Auditability
and traceability
- Preventing
over-automation
Tool & System Integration
- Connecting
agents to business systems
- API
and data source integration
- Secure
tool access
- Integration
best practices
Data, Context & Memory in Agentic Systems
- Managing
business context
- Short-term
and long-term memory concepts
- State
management for workflows
- Preventing
context drift
Risk Management & Reliability
- Common
failure modes
- Error
handling and recovery strategies
- Validation
and verification
- Ensuring
consistent outcomes
Compliance, Security & Privacy
- Handling
sensitive business data
- Access
controls and segregation of duties
- Compliance
and regulatory considerations
- Responsible
automation policies
Performance, Scaling & Cost Control
- Scaling
agentic workflows
- Parallel
task execution
- Cost
monitoring and limits
- Performance
optimization
Change Management & Adoption
- Preparing
teams for agentic automation
- Redesigning
processes
- Training
and communication
- Measuring
adoption and value
Real-World Agentic Automation Use Cases
- Back-office
operations
- Customer
service automation
- Finance
and HR workflows
- IT
service management
KPIs & Measuring Automation Success
- Productivity
and cycle-time metrics
- Quality
and error-rate metrics
- Financial
impact measurement
- Continuous
improvement loops
Roadmap for Agentic AI Adoption
- Phased
adoption strategy
- Pilot
to production roadmap
- Center
of Excellence (CoE) model
- Governance
operating model
Hands-on Exercises
Summary and Conclusion
