Course Details
- Instructor-led classroom training
- Duration: 1 Full Day (8 Hours)
- Delivery Options: Attend in Person / Request Virtual Session / In-House Session
- Language: English
- Credits: 8 PDUs/Training Hours
- Certification: Course Completion Certificate
- Refreshments: Enjoy Complimentary Refreshments (Beverages, Lunch, and Snacks are included)
Course Insights
Boston's diverse business environment is creating growing interest in practical AI applications that can support operational efficiency. This session introduces how agentic AI can move beyond individual prompts toward AI-assisted workflows, task coordination and business process automation. Participants will examine practical applications while considering human oversight, data protection and responsible implementation.
Learning Objectives
By the end of the course, you will be able to:
- Explain the concepts of agentic AI and AI agents.
- Identify suitable business processes for AI-assisted automation.
- Understand how AI agents can support workplace workflows.
- Design basic human-AI workflow structures.
- Create clearer instructions and contextual inputs for AI agents.
- Recognise privacy, security, governance and oversight considerations.
- Evaluate potential AI-agent use cases within an organisation.
Target Audience
This course is suitable for:
- Business professionals exploring practical AI applications
- Managers and team leaders
- Operations and process improvement professionals
- Project and program managers
- Business analysts
- Digital transformation professionals
- HR and administrative professionals
- Sales and marketing professionals
- Professionals responsible for workplace automation
- Organisations beginning their agentic AI journey
Want to train your entire team?
An in-house session can be tailored to your organisation's business processes, team responsibilities and AI adoption priorities. Participants can work through relevant workplace scenarios to explore how AI agents may support repetitive tasks, information handling, workflow coordination and process improvement. The session can incorporate organisation-specific use cases while addressing human oversight, data protection, responsible AI practices and practical considerations for introducing agentic AI into existing workflows.
Flexible scheduling options are available for internal corporate learning and development initiatives. Special discounts are available for group bookings. Training is available in major U.S. cities including New York, San Francisco, Chicago, Atlanta, Austin, and more.
For questions or assistance, please contact info@strivewisdom.com.
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Course Modules:
Module 1: Understanding Agentic AI
- Understand the difference between generative AI, AI agents and agentic AI systems.
- Explore how AI agents perceive information, reason through tasks and take actions.
- Identify common business situations where agentic AI can support human work.
- Icebreaker
Module 2: AI Agents and Business Workflows
- Examine the components and capabilities of modern AI agents.
- Map repetitive business processes that may benefit from agent-based support.
- Understand how AI agents can interact with information, tools and applications.
- Simulation
Module 3: Intelligent Automation for Business
- Explore how agentic AI can support routine operational processes.
- Identify opportunities to combine AI agents with workflow automation.
- Examine practical considerations when introducing automation into existing processes.
- Case Study
Module 4: Designing Smarter AI-Assisted Workflows
- Learn how to structure workflows involving human and AI responsibilities.
- Explore task sequencing, decision points and escalation requirements.
- Identify ways to improve workflow consistency while retaining human oversight.
- Role Play
Module 5: Prompting, Context and Agent Instructions
- Understand how clear instructions influence AI-agent performance.
- Explore the role of context, business rules and structured inputs.
- Develop practical approaches for reviewing and refining agent instructions.
- Group Discussion
Module 6: Responsible Agentic AI in the Workplace
- Examine privacy, security, accuracy and governance considerations.
- Understand why human review remains important for consequential decisions.
- Explore approaches for monitoring AI-agent outputs and business actions.
- Hands On Activity
Module 7: Implementing Agentic AI in Business
- Identify suitable starting points for introducing AI agents into business workflows.
- Develop a practical framework for evaluating AI-agent use cases.
- Consider adoption, workforce readiness, measurement and continuous improvement.
- Workshop Exercise
