01 / The executive perspective
Read the speech
From analytical models to autonomous institutions: the expanding responsibilities of leadership, culminating in four decisions for the business. Conference address in Spanish.
An executive crash course · Fall 2026
The indispensable
AI course
for CEOs.
Take command of your company's AI business plan. A compact, substantive guide to the capabilities, decisions and responsibilities that business leaders need to understand now.
3 lessons / 6 partsOne connected executive programme
6 practical notebooksFinancial cases in Google Colab
6 supporting podcastsA second route into each topic
No coding prerequisiteTechnical depth when you want it
Your starting point
The argument first.
The depth follows.
Start with the speech, continue with the handbook, then explore the six parts. Infographics, decks and monographs deepen the ideas; notebooks make selected mechanisms observable. Podcasts accompany the whole journey.
02 / The connected account
Explore the handbook
Six executive chapters connect capability, operating design, governance and institutional strategy—with lecture syntheses, references and a digital resource register.
Choose your depth. Read and discuss the core material, or extend each part through its practical experiment. Return to its podcast to consolidate the ideas.
The curriculum
Six parts.
One leadership agenda.
Each part adds a capability and a corresponding responsibility. The objective is to choose an architecture that serves the business, with evidence and controls proportionate to its authority.
01
Models & intelligent systems
Understand the components. Design the complete operating process.
Lesson 1 / Part 1
From statistical models to generative intelligence
Understand what prediction, representation and generation contribute—and why a persuasive answer still needs evidence and exact calculation.
Your executive outputA capability-to-task map
Corporate credit screeningOpen in Colab ↗
Lesson 1 / Part 2
From intelligence to a governed operating system
Connect perception, judgment, planning, execution and feedback into a process with explicit controls, decision rights and an evidence trail.
Your executive outputA governed operating cycle
A governed credit-monitoring serviceOpen in Colab ↗
02
Agentic organisation & governance
Allocate responsibilities. Define legitimate authority.
Lesson 2 / Part 1
From models to agentic organisation
Organise tools, skills, memory and specialist agents. Make their responsibilities, communication and review visible.
Your executive outputA map of responsibilities
Investment review with conflicting evidenceOpen in Colab ↗
Lesson 2 / Part 2
Autonomy, delegation and system governance
Define the discretion a system may exercise: its mandate, permissions, limits, escalation paths and conditions for withdrawal.
Your executive outputA delegation charter
An autonomous treasury liquidity deskOpen in Colab ↗
03
Adaptation & institutional strategy
Govern change. Protect the business and build its future.
Lesson 3 / Part 1
When the organisation becomes a variable
Explore adaptation, improvement loops and swarms while protecting objectives, evaluation criteria and release authority.
Your executive outputA bounded adaptation proposal
Adaptive routing for a specialist swarmOpen in Colab ↗
Lesson 3 / Part 2
The Fortress and the AI Factory
Join cybersecurity and experimentation with staged deployment, useful-completion economics and accountable ownership.
Your executive outputAn investment and operating plan
Portfolio commentary and its business caseOpen in Colab ↗
Podcasts open in Google Drive, where the audio recordings are hosted. Decks and monographs are PDFs; notebooks open on GitHub or in Google Colab.
From understanding to action
Four decisions for leadership.
Protect.
Know the critical records, identities and dependencies. Design containment, reconciliation and recovery into the operating architecture.
Create.
Build a controlled AI Factory. Move from experiment to shadow operation, bounded pilot and maintained service as evidence justifies it.
Budget.
Fund a clear business purpose. Include data, integration, evaluation, security and human review in the cost of a useful result.
Educate.
Start with the leadership team. Build the judgment to question architectures, assign authority and recognise when to intervene.
The outcome: a coherent AI business plan connecting purpose, capability, evidence, authority, economics and accountable ownership.
Designed for decision-makers
Executive clarity.
Practical depth.
Financial examples make the institutional questions concrete. The decisions about investment, control, delegation and organisational design extend across industries.
For CEOs, CFOs, CTOs, board members, senior executives, financial practitioners and advanced graduate students.
Explore the complete repository ↗Do I need to know how to code?
No programming background is required for the core narrative. The speech, handbook, infographics, decks and monographs support executive study and discussion. The notebooks offer optional practical depth.
How do I use the Colab notebooks?
Use “Open in Colab” for the chosen part and run its cells in order. Live mode requires an Anthropic API key in Colab Secrets and can incur API charges. Set LIVE_LLM = False for labelled offline teaching fixtures. All financial cases use synthetic data.
How should I move through the material?
Begin with the speech and handbook. For each part, review the infographic, follow the deck and read the monograph. Use the corresponding notebook to explore the practical case, and listen to the podcast before or after studying the part.
What should I take back to my company?
A business objective, capability map, governed workflow, allocation of responsibilities, delegation charter, bounded adaptation proposal and investment plan. These should describe the same system, with explicit evidence requirements and an accountable owner.