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The Future : AI Agents
"AI agents will become another citizen in our society. They'll be sitting next to us in meetings, helping us make decisions, and working alongside us to solve complex problems."
- Mustafa Salman, Microsoft
The Future with AI Agents
125M
AI Agents by 2025
Operating across enterprise workflows
750M
AI Agents by 2030
Transforming industries worldwide
37%
Productivity Increase
Average boost in employee output
$4.3M
Annual Cost Savings
For mid-sized organizations
As organizations increasingly adopt AI technologies, autonomous agents are projected to become fundamental components of business operations, dramatically reshaping how work gets done.
Sources: Gartner Future of Work Report 2023, McKinsey Global Institute Analysis, Stanford HAI Industry Forecast
8-Hours (or 4-Hours available with lighter content and simplified activity)
Objective: Equip participants with the skills to design, build, and deploy their own AI agent prototype through a hands-on, interactive experience.
Target Audience: Professionals and teams across sectors—product managers, consultants, marketers, developers, innovation leads—looking to rapidly prototype and deploy AI-powered agents for internal workflows or client-facing services.
What You'll Learn
Core Concepts
Lay the foundation to understand what AI agents are, how they work, how they differ from LLM chatbots, and the key challenges and opportunities they present.
AI Agent Design & Build
Step-by-step guidance to create your own AI agent, using intuitive tools and best practices. (See Appendix 1 for typed AI Agents & suggested Tools)
Deployment Roadmap
Strategies and tools to deploy your agent effectively in real-world settings.
Use Case & Q&A
Practical examples from multiple industries and dedicated time for live questions. (See Appendix 3 for a list of AI Agent application by sector)
You'll Leave With
A functional AI agent prototype
A certificate of completion
Access to a curated collection of additional resources and templates
Post-Session Community of Practice with Experts and Mentors
Your learning journey doesn't end when the workshop concludes.
30-Day Expert Community Access
Join our exclusive community of practice where you can connect with workshop facilitators and fellow participants.
On-Demand Mentorship
Schedule 1:1 sessions with industry experts to troubleshoot your AI agent implementation challenges.
Continued Learning Resources
Access additional tutorials, case studies, and emerging best practices as you refine your AI agent.
This extended support ensures you successfully transition from prototype to production with confidence.
Samples of AI Agents that can be created & suggested Tools
AI Agent Use Cases by Sector (Part 1)
Below is a comprehensive overview of how AI agents are being applied across different industries:
Continued on next slide...
AI Agent Use Cases by Sector (Part 2)
Post Lab:
AI Agent Implementation Roadmap 2-3 months (Pricing on Request if Facilitated)
A structured approach to successfully deploy your AI agent in production
Discovery & Planning
  • Define business objectives and success metrics
  • Identify key stakeholders and technical requirements
  • Map candidate processes for automation
Prototype Development
  • Select appropriate models and tools
  • Build minimal viable agent with core functions
  • Develop safeguards and testing protocols
Testing & Refinement
  • Conduct user acceptance testing
  • Evaluate performance against benchmarks
  • Iterate based on feedback and data analysis
Deployment
  • Integrate with existing systems and workflows
  • Implement monitoring and logging tools
  • Develop rollout strategy (pilot vs full launch)
Optimization & Scaling
  • Analyze performance metrics and user feedback
  • Implement continuous learning mechanisms
  • Expand capabilities and use cases