AI-Native Entrepreneurship & Founder Mindset
Founder deliverable
Venture thesis and AI opportunity map
B SCHOOL / AI VENTURE LAB
B School AI Venture Lab
Build your venture. Build with AI. Scale globally.
A 10-week venture-building sprint helping ambitious founders turn ideas into businesses, build products faster and scale with AI — with smaller teams, faster experimentation and smarter execution.
Proposed launch: 2027 · Programme in development
The sprint at a glance
- Programme duration
- 10 weeks
- Founders per cohort
- 30
- Delivery format
- Virtual-first
- Weekly commitment
- 4–6 hours
- Equity taken
- 0%
- Annual cohort target
- 2
These are proposed programme parameters, not confirmed operational commitments.
The next generation of entrepreneurs will build with AI.
A venture-building programme, not a traditional accelerator or an AI course. Founders apply AI directly to their own businesses through a virtual-first, mentor-supported and research-informed experience.
AI-native founders
Entrepreneurs developing AI products, agents, applications or AI-powered services.
AI-enabled founders
Entrepreneurs in any industry using AI to accelerate product development, sales, operations, research and growth. Your venture does not need to be an AI product.
Our proposed mission: democratize venture creation so ambitious entrepreneurs can build globally competitive companies, regardless of technical background, geography or access to traditional startup resources.
From discovery to Demo Day
Every week combines a workshop, a hands-on AI lab, a peer-group session and founder assignments. Mentorship adapts to your venture's stage.
Weeks 1–2
Discover & Design
Validate customer problems, assess AI opportunities and design your business model.
Weeks 3–6
Build & Validate
Build an MVP, run customer experiments and test AI workflows, pricing and distribution.
Weeks 7–8
Launch & Grow
Create AI-powered sales, marketing, support, analytics and lean operations.
Week 9 · VC Week
Fundraise & Scale
Prepare for fundraising, understand venture economics and plan international expansion.
Week 10
Demo Day
Demonstrate your product, present your progress and receive investor feedback.
10 weeks. 10 tangible outcomes.
Customer Discovery & AI Business Model Design
Founder deliverable
Validated problem statement and business model canvas
AI-Powered Market Research & Competitive Intelligence
Founder deliverable
Market sizing and competitor intelligence
AI Product Building: No-Code, Vibe Coding & Prototyping
Founder deliverable
Functional MVP prototype
AI Agents, Automation & Venture Operating Systems
Founder deliverable
Working agent or automated business workflow
Customer Validation, Pricing & Product-Market Fit
Founder deliverable
Customer experiment results and pricing hypothesis
AI-Powered Marketing, Sales & Distribution
Founder deliverable
Go-to-market plan and first acquisition experiments
AI-Native Company Operations & Unit Economics
Founder deliverable
Lean operating model and financial projections
Venture Capital, Fundraising & Global Scaling
Founder deliverable
Investor deck, data room checklist and fundraising plan
Demo Day Preparation & Venture Showcase
Founder deliverable
Live demo, final pitch and 90-day execution roadmap
Build with support. Grow with peers.
AI Venture Masterclasses
Weekly expert sessions on entrepreneurship, AI tools, product development, venture strategy and fundraising.
Founder Circles
Six groups of five founders, supported by Community Leads, with weekly milestone reviews and peer feedback.
Venture Mentorship
A primary mentor for each founder, alongside specialists in AI engineering, growth, product, finance and investment.
AI Co-Founder Toolkit
Curated tools for customer discovery, market research, prototyping, agents, sales, marketing, finance and fundraising.
Investor & Corporate Network
Connections with relevant investors, corporate innovation teams, potential customers and international ecosystem partners.
Demo Day & Alumni Community
Final venture presentations and continued access to the B School founder community. Startup awards depend on sponsorship.
Proposed signature capability
AI Co-Founder Workspace
Structured venture-building tasks with AI-assisted execution. The first cohort would use existing AI tools, templates and guided workflows; a dedicated platform could follow after founder needs are validated.
- Research Agent
- Markets, customers and competitors
- Strategy Agent
- Positioning and business models
- Product Agent
- MVP specifications and prototyping
- Growth Agent
- Content, campaigns and sales
- Finance Agent
- Unit economics and forecasts
- Pitch Agent
- Investor decks and pitch rehearsal
Who is the Lab for?
Early-stage founders, from idea to early traction: solo founders, non-technical entrepreneurs, university students, professionals launching businesses and founders adopting AI-enabled operating models.
Proposed eligibility: ages 18+, solo founders and teams, with no university affiliation required. International applications are envisaged, initially focusing on Türkiye, the Balkans, Central Asia and MENA.
Proposed selection process
Online application, a short AI-assisted venture assessment reviewed by humans, and interviews with shortlisted founders.
- Founder motivation and execution capacity25%
- Problem significance and customer need25%
- AI leverage and venture scalability20%
- Business potential20%
- Programme commitment10%
Launch & participation
The first cohort is proposed as free and equity-free, subject to securing sponsorship. Programme dates, fees and application details are not yet confirmed.