21 Jul AI AGENT FOR EVERYDAY PRODUCTIVITY
The emergence of autonomous AI agents represents one of the most significant shifts in how knowledge work is organized, executed, and scaled. Yet most professionals, including recent graduates entering the workforce, lack the conceptual frameworks and practical skills to design, deploy, and govern these systems effectively.
This seminar addresses that gap directly.
Students will develop both the strategic understanding and the hands-on capability to build AI agent systems applied to real professional contexts,
whether entrepreneurial ventures, corporate environments, or independent projects. The course is designed not as an introduction to artificial intelligence theory, but as a practice in applied cognitive augmentation: the deliberate design of human-AI workflows that extend individual capacity and free cognitive resources for higher-order decision-making.
CRISTINA PEÑALOZA
Cristina Peñaloza is the author of When AI Joins the Marketing Team, a strategic guide on integrating artificial intelligence into marketing organizations in a practical, human-centered way. She is Adjunct Professor at IE Business School and Academic Director of the AI-Powered Marketing Executive Education program at IE University, where she works with executives and future leaders at the intersection of strategy and technology. With over 20 years of experience in digital marketing and technology, and a career spanning Telefónica, Huawei, Capgemini, and her own agency, she brings both senior practitioner depth and academic rigor to her work. Her academic background combines an MSc in Business Administration with a Bachelor’s degree in Software Engineering, allowing her to bridge business thinking with technical fluency. A former TEDxCibeles committee organizer, she is committed to advancing ideas that connect innovation, human potential, and organizational impact.
Skills
By the end of this seminar, students will be able to:
– Analyze their own professional workflows to identify tasks suitable for agent automation
– Design structured AI agent blueprints, specifying objectives, inputs, outputs, tools, and escalation rules
– Build and test pilot agents for applied use cases including research synthesis, communication management, and operational monitoring
– Apply governance frameworks to ensure accountability, transparency, and human oversight in automated systems
– Develop a personal AI Agent Portfolio adaptable to entrepreneurial, corporate, or independent professional contexts
Schedule
Which dates?
DAY 1 TBD
DAY 2 TBD
DAY 3 TBD
DAY 4 TBD
DAY 5 TBD
DAY 6 TBD
What day?
TBD (DAY)
What time?
HOUR TBD