Executive program in Artificial Intelligence, Leadership, and Risk Transformation
Executive experience led by MIT professors for senior leaders in banking and financial services
MIT, Cambridge MA
May 4–6, 2026
Application Only
More than 40 executives from the banking and financial sector have already participated in Quipu's AI School.
In collaboration with
Innovation & Entrepreneurship
MIT DesignX
MIT DesignX is an academic program of the MIT School of Architecture and Planning (SA+P) and is part of the MIT Morningside Academy for Design (MIT MAD). It focuses on driving strategic innovation and the development of solutions and businesses that address the complex challenges of the future.
This is a course developed in collaboration with MIT DesignX and does not constitute a program of MIT Executive Education nor does it grant academic credits at MIT.
WHY NOW?
The adoption of artificial intelligence in credit is no longer a future possibility: it is a strategic opportunity to expand financial access, improve decisions, and lead the transformation of the sector.
Today, financial leaders can leverage AI to:
Expand financial inclusion
AI enables better assessment of historically excluded segments, opens new markets, and designs more accessible products without compromising risk management.
Make credit decisions
Advanced models allow for the incorporation of new information sources and improve decision quality, reducing friction for clients and teams.
Strengthen risk governance
The strategic adoption of AI allows for the construction of more transparent, auditable processes that align with current and future regulatory demands.
Connect data, business, and strategy
AI creates a common language between risk, data, and business, enabling more agile decisions aligned with growth objectives.
WHO IS THIS PROGRAM FOR?
Designed for decision-makers
This program is exclusively designed for senior executives responsible for credit risk strategy, artificial intelligence governance, and institutional transformation in financial organizations.
Ideal participants
Chief Risk Officers (CRO)
Heads of Risk Management
VPs of Data & Analytics
VPs of Strategy & Transformation
Chief Data Officers (CDO)
Heads of Credit / Lending
Directores de Innovación
Senior management of banks, fintechs, and financial institutions
This program is NOT
A technical programming or data science course
A program for junior analysts or mid-level profiles
An online certification or self-directed course
A product demonstration sponsored by a vendor
The program will be conducted in English and will not have simultaneous translation.
Executive Outcomes
Executive Results
By the end of the program, you will be prepared to:
AI Governance Frameworks
Clear governance structures tailored to your organization's maturity level and regulatory context.
Institutional roadmap for 24 months
Transformation roadmap developed during the program's applied workshop, focusing on real execution.
AI pilot portfolio
Prioritization of responsible AI initiatives ready for internal sponsorship, validation, and launch.
Alignment with risk and compliance
Integration of AI adoption with existing risk, audit, and regulatory frameworks.
Responsible scaling of AI
Strategic criteria for scaling AI throughout the credit lifecycle without losing institutional control or trust.
Stakeholder alignment
Common language and shared frameworks to bridge the gap between risk, data science, and executive leadership.
Network of executive peers
Lasting connections with a curated cohort of senior leaders facing similar transformation challenges.
Executive decision-making
Frameworks for evaluating vendors, models, and deployment strategies from a strategic, not technical, perspective.
PROGRAM STRUCTURE
Three days of progressive immersion
From strategy to execution: each day builds on the previous one and culminates in an applied workshop for institutional transformation.
Day 1
· Trends and Leadership
From disruption to strategy
Global landscape of AI in finance
Regenerative leadership (Otto Scharmer)
Culture and resilience (Svafa Grönfeldt)
Executive forum
Objective: Align vision, mindset, and conceptual framework.
Day 2
· Cases, impact, and governance
From strategy to institution
Real cases of AI/ML in credit (Cristián Bravo)
Leadership for impact (Michael Schlein)
Governance and ethics
Financial inclusion
Integrative session
Objective: Translate vision into sustainable operational models.
Day 3
· Transformation workshop
From idea to execution
Institutional canvas
24-month roadmap
Pilot portfolio
Talent plan
Peer review
Executive commitments
Objective: Turn learning into concrete plans.
Faculty & Speakers
World-Class Faculty
Learn from MIT professors, academic leaders, and global experts who are defining the future of responsible artificial intelligence use in financial services.
Otto Scharmer
Presencing Institute, MIT
Senior Lecturer at MIT and founder of the Presencing Institute. PhD in Economics from Witten/Herdecke University (Germany). Author of books such as Theory U, a pioneer in systems transformation and conscious leadership; has impacted thousands through global courses like MITx u-lab.
Michael Schlein
President and CEO of Accion
Michael Schlein is the president and CEO of Accion, a global leader in financial inclusion and impact investing. With experience at Citigroup and in the U.S. public sector, he leads initiatives to expand access to financial services and promote sustainable economic development.
Svafa Grönfeldt
MIT Professor of Practice
Venture designer and serial entrepreneur with over 15 years of experience creating and scaling global companies. Collaborates with MITdesignX and international boards, applying human-centered design to drive innovation, business performance, and organizational well-being.
Katrin Kaufer
Presencing Institute; Research Affiliate en MIT
Co-founder and Executive Director of the Presencing Institute; Research Affiliate at MIT. PhD in Economics from Witten/Herdecke University (Germany). Expert in leadership, mission-driven banking, and organizational change; co-created frameworks such as Theory U and MITx courses on fair finance.
Kathleen Kennedy
Senior Director, Horizon
Kathleen Kennedy leads AI education and organizational transformation initiatives from MIT Horizon and the MIT Center for Collective Intelligence. Her work focuses on helping organizations integrate emerging technologies into their strategy, training, and collaboration models.
Cristián Bravo
Research Chair en Banking and Insurance Analytics en Western University
Professor and Research Chair in Banking and Insurance Analytics at Western University, Canada. Directs the Banking Analytics Lab and his work focuses on applying data science and advanced analytics to the study of credit risk and the relationship between consumers and financial institutions.
Logistics
Program Details
LOCATION
MIT Campus, Cambridge, Massachusetts
DATES
May 4–6, 2026
DURATION
2.5 days in-person
LANGUAGE
English (no bilingual faculty support)
INCLUDES
All sessions, materials, meals, and networking events
PROGRAM COST
Communicated individually once admitted
How to apply?
Application process
A clear process that respects the time of busy executives.
The program will be conducted in English and will not have simultaneous translation.
Application
Complete a brief form with your executive profile (2-3 minutes).
Evaluation
Your application will be reviewed by the program's academic committee.
Admission
Selected candidates will receive a personalized admission letter.
Confirmation and payment
The program fee will be communicated and managed once admission is confirmed.
Onboarding
You will receive pre-materials and an introduction to the cohort before the program starts.
Join a select group of leaders who are making the decisions today that will define the future of credit in Latin America.
A transformative experience at MIT. An institutional roadmap for the next 24 months.
NEQUI:
Daviplata:
Corresponsal Bancolombia:
Davivienda
