Corporate keynote
From amazement to real opportunities
A talk that turns curiosity about artificial intelligence into concrete opportunities for people and organizations.
Everyone hears about artificial intelligence. Some already use the tools. Others feel curious, worried or afraid of falling behind. But knowing ChatGPT does not mean understanding AI, and using a tool does not mean creating value for the company.
What is AI and what can it do today?
Which tools can help us in our work?
How can we use it without being specialists?
Which tasks can improve in each area of the organization?
What risks should we recognize?
How do we start without losing human judgment?
The goal is not to turn attendees into technical experts in 90 minutes. It is to help them recognize opportunities in their own work and take their first steps with more confidence and responsibility.
The fiction that opens the conversation
Leonardo Ramírez wrote The AI Doomsday, a short novella about what happens when intelligent systems make decisions nobody can explain, and about the rules people build to take judgment back.
The talk is not a horror story. It starts from an uncomfortable image to reach a practical question: how do we prepare our people to work with AI without giving up human judgment?
The fiction is not a prediction. It is an invitation to ask today the questions that matter.
Ninety minutes of plain-language explanation, demonstrations and activities in which every participant works on their own job.
From mystery to understanding
What artificial intelligence is, how generative models work at a conceptual level and why they are transforming the workplace. Generative AI, assistants and agents, with everyday examples.
Activity: What do we think AI can do, and what can it really do?
From curiosity to usefulness
Text and knowledge assistants, analysis and synthesis, presentations and content, meeting support, research and automation. Attendees learn to write better instructions and review results.
Activity: Demo: an office task solved with AI, compared with the traditional process.
From tool to result
Five practical scenarios, adapted to the sector and context of the hiring company.
Activity: Each participant identifies one task in their job that AI could improve.
From fascination to judgment
Artificial intelligence can also be wrong. We cover, with simple examples, mistakes, confidential information, bias and the importance of human review.
Activity: Core message: AI can support our work, but responsibility for decisions remains human.
From listening to starting
Each participant defines a task, a potential tool and one concrete action to explore over the next seven days. We close with questions and recommendations.
Activity: One task, one tool and one action for the next seven days.
Five scenarios adapted to your sector and the teams in the room.
Draft job descriptions, structure onboarding plans and support internal communications.
Organize information, prepare reports and summarize documents.
Research customers, prepare proposals and personalize commercial communication.
Document procedures, spot improvement opportunities and support incident analysis.
Draft replies, organize FAQs and analyze requests.
Examples are adapted to the sector and context of the hiring company.
AI can support our work, but responsibility for decisions remains human.
An accessible understanding of what AI is and where its limits are.
Criteria to start using tools without technical knowledge.
Relevant examples for different functions of the company.
Awareness of privacy, errors and human oversight.
One concrete way to apply AI in their own work.
The talk does not promise immediate productivity and does not replace a formal implementation program. Its purpose is to prepare people to start with better questions, better judgment and identifiable opportunities.
Three perspectives that are rarely presented together in an introductory talk.
AI makes sense when it connects to real processes, goals and needs.
Tools and examples participants can recognize and understand.
Confidence, learning habits, critical thinking and willingness to change.
It is not a software sales pitch, nor a technical training disguised as a keynote.
About the speaker
Enterprise Architect · AI Strategist · International Speaker
With more than 30 years in enterprise architecture, strategy and technology transformation, Leonardo has worked on initiatives across sectors including banking, retail and business organizations in Latin America.
His approach connects artificial intelligence, enterprise architecture, leadership and human development. He is the founder of ARCHAI WORLD University, dedicated to training in artificial intelligence, governance, enterprise architecture and professional transformation.
A 90-minute live session with interaction and Q&A.
Subject to availability, location and logistics.
Examples and cases adapted to your sector, participating teams and organizational goals.
Language: Spanish or English.
Direct purchase
A private, live, virtual session for one company. Each plan builds on the previous one: Essential is the keynote, Corporate adds practice and a management briefing, and Executive adds a leadership simulation. Pricing in USD.
A focused keynote for one team or department.
USD 1,997
One-time corporate purchase
Checkout code pending. This slot is ready to receive its GrooveSell checkout.
The keynote plus practice and management alignment, for a whole organization.
USD 4,997
One-time corporate purchase
Checkout code pending. This slot is ready to receive its GrooveSell checkout.
Adds a leadership simulation for the people who make the critical decisions.
USD 9,997
One-time corporate purchase
Checkout code pending. This slot is ready to receive its GrooveSell checkout.
Existing GrooveSell checkout. Awaiting product confirmation, so it is not linked to any plan or price above.
Artificial intelligence does not begin with a tool. It begins when a person discovers what they can do better.
Tell us about your organization and you will receive a tailored proposal. Please use your corporate email.