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Course Outline
Foundations of Agentic AI in Business Automation
- Understanding agentic AI and its significance in automation
- Review of key tools and frameworks for developing intelligent agents
- Enterprise applications in customer service, logistics, and marketing
Discovering Automation Potential
- Analysing existing workflows and identifying bottlenecks
- Assessing feasibility and Return on Investment (ROI) for AI-driven automation
- Establishing success metrics and integration prerequisites
Architecting Agentic Workflows
- Creating task-specific agents and orchestration-level structures
- Formulating prompt design and logic structures for automation agents
- Incorporating decision-making processes and exception handling
Connecting Agents with Business Ecosystems
- Linking AI agents to CRMs, ERPs, and communication platforms
- Leveraging Zapier, Make, or Power Automate for workflow orchestration
- Executing API-based integrations using Python
Practical Application Scenarios
- Automating customer service and conducting sentiment analysis
- Forecasting supply chain demand and coordinating with vendors
- Optimising marketing campaigns through AI-driven insights
Ensuring Governance, Security, and Oversight
- Regulating access control and managing data sensitivity
- Configuring monitoring dashboards and alert systems
- Reviewing and auditing automated decisions for accuracy
Practical Project: Constructing an Integrated AI Workflow
- Selecting a specific process for automation
- Designing and deploying the AI agent
- Conducting testing, evaluation, and iterative optimisation
Conclusion and Future Directions
Requirements
- A fundamental grasp of business workflows and process automation
- Working knowledge of Python or API-based integrations
- Practical experience with productivity or automation tools
Target Audience
- Product managers aiming to uncover automation opportunities
- Automation engineers focused on deploying AI-driven workflows
- Business analysts crafting data-driven business processes
21 Hours
Testimonials (1)
The trainer is patient and very helpful. He knows the topic well.