For faculty
See the thinking, not only the submission.
- ✓Configure the method and council
- ✓Compare first and revised strategies
- ✓Use class time for judgment, not basic correction
VSTRAT turns AI from an answer machine into structured strategy practice. Learners build, defend, and revise a strategy before a digital council of business perspectives, while faculty keep control of the learning process.
Why VSTRAT
Microsoft
Safran Aerospace
Michelin
Danfoss
Siemens
Unilever
Maersk
Carlsberg
EY
Henkel
AGC
Dassault Systèmes
ExxonMobil
Disney
Mercedes-Benz
e& Etisalat
Pernod Ricard
Intelsat
PwC
Schneider Electric
Merck
Medtronic
Nestlé
Apple
Oracle
Dell
Visa
Roche
AstraZeneca
Paramount
AMC Networks
ING
Rawbank
INSEAD
AWS
Microsoft
Safran Aerospace
Michelin
Danfoss
Siemens
Unilever
Maersk
Carlsberg
EY
Henkel
AGC
Dassault Systèmes
ExxonMobil
Disney
Mercedes-Benz
e& Etisalat
Pernod Ricard
Intelsat
PwC
Schneider Electric
Merck
Medtronic
Nestlé
Apple
Oracle
Dell
Visa
Roche
AstraZeneca
Paramount
AMC Networks
ING
Rawbank
INSEAD
AWS
85%
of faculty want to integrate GenAI into their curriculum.
AACSB, 2025 ↗53%
are offering courses on how AI is integrated into the development of business strategy.
GMAC, 2025 ↗76%
of business schools are addressing the emerging needs of executive education participants.
GMAC, 2025 ↗Everybody has access to chatbots
MBA programs are being asked to produce AI-ready leaders without sacrificing judgment, originality, academic integrity, or the human challenge that makes management education matter.
When every learner can generate a convincing strategy, the final document no longer shows who challenged assumptions, weighed trade-offs, or made the decision.
Discussion boards and recorded lectures struggle to reproduce the pressure, disagreement, and cross-functional challenge that make executive learning valuable.
Deep, individualized feedback is valuable, and difficult to deliver repeatedly across large, global, or asynchronous cohorts.
Professors want AI to deepen critical thinking without outsourcing it. Generic tools rarely follow the course method, preserve the reasoning trail, or keep faculty in control.
Participants leave with valuable frameworks, but applying and cascading them across their organizations remains inconsistent and hard to support.
Schools must show that learners can interpret AI output, exercise judgment, communicate a decision, and adapt it under challenge.
The VSTRAT learning experience
A learner creates a strategy using structured, academically grounded frameworks. Then a digital council, made up of over 1,000 personas to choose from or that a student creates, challenges it from the perspectives that real decisions must survive.
The learner chooses what to accept, what to reject, and what to revise. The professor sees the journey from first position to defended decision.
Student
CFO
Does the value survive the numbers?
Customer
Would I change my behavior for this?
Operator
Can the organization actually deliver it?
Competitor
How would I respond?
Regulator
What risk has been overlooked?
Designed around judgment
Apply the course method to a real strategic question.
Make a clear choice and expose its assumptions.
Face questions from a cross-functional digital council.
Strengthen, or defend, the strategy with evidence.
Explain what changed, what did not, and why.
One environment, three gains
For faculty
For learners
For programs
Beyond the program
Participants can carry the same structured process into a live company decision, bringing the school’s frameworks, the council’s questions, and their own judgment into conversations with colleagues.
Classroom
Learn the method
Council
Test the strategy
Workplace
Cascade the learning
Get started
Choose a strategy assignment, configure the council around the learning objective, and compare how learners reason before and after challenge.
Get Started