15 Oct 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.
RONALD MARTINEZ
Ronald Martinez is a Client Partner at SuperReal, helping enterprise organizations such as Mahou San Miguel, Ibercaja and Carrefour turn AI opportunities into real business value, from identifying the right use cases to implementation and adoption.
My work sits at the intersection of business strategy, technology and execution: prioritizing AI opportunities, defining business cases and roadmaps, and leading multidisciplinary teams to turn ideas into initiatives that deliver results. I also build strategic client relationships, helping successful initiatives scale into new opportunities for growth.
I bring 20+ years of experience across marketing, customer experience, digital transformation and technology, including roles at NTT and NTT DATA. I’ve led international teams and managed complex programs with annual budgets above $1M.
Alongside my client work, I teach AI-Powered Marketing at IE Business School, helping executives apply generative AI strategically and responsibly, with a clear focus on business value and ROI.
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?
22-jan
29-jan
05-feb
12-feb
DAY 5 TBD
DAY 6 TBD
What day?
FRIDAYS
What time?
15,00-16,30 until 18,00 Double sessions 22/01/2027 and 12/02/2027
