Lunch n Learn (Virtual) - Transforming Business with Agentic AI
March 2026 PMI Austin Lunch & Learn
Headline: Transforming Business with Agentic AI
Agentic AI is fundamentally transforming business operations across industries through autonomous decision-making and continuous learning capabilities. Unlike traditional AI that follows fixed workflows, Agentic AI adapts strategies based on real-time feedback, learns from every execution, and optimizes performance without human intervention.
Through real-world case studies from eCommerce (eBay), Insurance (Federato), and Healthcare (Ottawa Hospital & Nvidia), attendees will see practical orchestration patterns where multiple specialized AI agents work together to solve complex business problems.
The presentation covers six key transformation areas: process automation that adapts to changing conditions, intelligent resource allocation, predictive problem resolution, autonomous workflow optimization, and scalable solutions that improve over time. Each industry example demonstrates measurable business impact through significant reductions in processing time, substantial staff efficiency gains, and acceleration of decision-making cycles from hours or days to minutes.
Attendees will leave with actionable strategies for implementing Agentic AI in their organizations and practical guidance on navigating risks and governance challenges.
You’ll learn how to:
- Differentiate between AI agents and Agentic AI by identifying the three core components (autonomous decision-making, continuous learning, and adaptive planning) that distinguish agentic systems from traditional automation.
- Recognize multi-agent orchestration patterns across different industries (eCommerce, Insurance, Healthcare) to design collaborative AI solutions for complex problem-solving.
- Evaluate implementation risks and governance requirements by identifying critical success factors, including guardrails, explainability, monitoring, human oversight, and bias mitigation.
Key Takeaways:
- Clear understanding of what makes AI "agentic" - the Sense-Think-Act learning loop that enables continuous improvement without manual reprogramming
- Real-world examples from eBay, Federato, and Ottawa Hospital demonstrating measurable efficiency gains and ROI from Agentic AI implementations
- Orchestration patterns showing how specialized AI agents collaborate through communication channels, knowledge sharing, and task allocation
- Implementation roadmap for identifying use cases, building infrastructure, establishing governance, and scaling from pilot to enterprise
- Risk mitigation strategies, including guardrails, explainability, monitoring, human oversight, and bias prevention
About the speaker:
Joyjit Roy is a senior technology and program management leader with over 21 years of experience delivering enterprise digital transformation, cloud modernization, and applied AI programs in insurance, financial services, and global eCommerce. He currently serves in a principal-level program leadership role, leading multi-year modernization initiatives that integrate machine learning, intelligent automation, and Agile delivery frameworks. His leadership spans portfolio strategy, delivery governance, and architecture alignment across large, globally distributed enterprise organizations.
Cost: US$8 Members | US$13 Non-members
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Questions? please email our Lunch & Learn Committee Chair at LunchNLearn@pmiaustin.org.
