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Duration 21 hours
Course Outline
Foundations of Agentic AI in Operational Efficiency
- Defining agentic AI and its strategic significance for automation
- Reviewing key tools and frameworks for developing intelligent agents
- Enterprise applications: customer support, logistics, and marketing
Uncovering Automation Potential
- Analyzing existing workflows and identifying bottlenecks
- Assessing feasibility and return on investment for AI-driven tasks
- Establishing key performance indicators and integration prerequisites
Architecting Agentic Processes
- Structuring agents for specific tasks and broader orchestration
- Crafting prompts and logical structures for automation agents
- Incorporating decision logic and exception management
Connecting Agents to Corporate Systems
- Linking AI agents with CRMs, ERPs, and communication platforms
- Leveraging Zapier, Make, or Power Automate for workflow orchestration
- Executing API integrations using Python
Real-World Applications
- Automating customer interactions and analyzing sentiment
- Forecasting supply chain demands and coordinating with vendors
- Refining marketing campaigns through AI-generated insights
Oversight, Security, and Monitoring
- Controlling access rights and managing data sensitivity
- Configuring dashboards and alert systems for monitoring
- Reviewing and auditing automated decisions for compliance
Practical Exercise: Developing a Unified AI Workflow
- Selecting a target process for automation
- Designing and deploying the AI agent
- Conducting tests, evaluations, and refinements
Conclusion and Future Directions
Requirements
- A solid grasp of operational processes and workflow automation principles
- Proficiency in Python or API-driven system connections
- Prior experience with productivity suites or automation software
Intended Participants
- Product managers looking to uncover new avenues for automation
- Automation specialists tasked with deploying AI-centric workflows
- Business analysts focused on designing data-driven operational frameworks
Testimonials (1)
The trainer is patient and very helpful. He knows the topic well.