AI Education Platform
Development Roadmap & Timeline
From MVP to Market Leader: 18-Month Execution Plan
Executive Timeline Overview
Our development roadmap follows a three-phase approach designed to minimize risk while building sustainable market presence. We prioritize measurable subjects (Math/Programming) for technical validation, build network effects through school partnerships, and scale systematically across Australian states.
Phase 1: MVP Foundation
Months 1-6
Focus: Core platform + 3-5 pilot schools
Phase 2: Early Traction
Months 7-12
Focus: WA market focus + product refinement
Phase 3: Australian Scale
Months 13-24
Focus: State-by-state expansion
Detailed Phase Breakdown
Month 1-2: Technical Architecture & Team Assembly
Month 3-6: Core Platform Development
Technical Architecture Evolution
Months 1-6: Foundation (MVP)
Core platform with essential features
Months 7-12: Scaling (Growth)
Enhanced performance and scalability
Months 13-18: Enterprise (Scale)
Enterprise-grade platform capabilities
Team Scaling Plan 👥
Current Team (Months 1-6)
Founder
×1Product vision, business development
Senior Full-Stack Developer
×1Core platform development
AI/ML Engineer
×1Socratic AI implementation
Mobile Developer
×1iOS/Android applications
QA Engineer
×1Testing and quality assurance
Growth Team (Months 7-12)
Regional Sales Manager
×1WA school partnerships and expansion
Customer Success Specialist
×1School onboarding and support
Marketing Coordinator
×1Content creation and school outreach
Senior Developers
×1Advanced feature development
Scale Team (Months 13-24)
State Expansion Managers
×2NSW and Victoria market entry
Educational Researcher
×1Learning outcomes analysis
Technical Operations Manager
×1Infrastructure and DevOps
AI Research Specialist
×1Advanced AI capabilities
Funding Alignment with Development
$100K
Months 1-12
Team
12-month development team runway
Infrastructure
Cloud services and tools
Legal & Compliance
Privacy compliance and setup
Marketing
Pilot school materials
$500K-1M
Months 13-18
Team Expansion
Sales and customer success hires
Marketing & Sales
State expansion
Product Development
Advanced features
Operations
Infrastructure scaling
Risk Mitigation & Contingencies
Technical Risks
AI Performance Issues
Contingency:
Multiple AI provider integration (OpenAI, Anthropic backups)
Timeline Impact:
+2 weeks for provider switching
Cost Impact:
+15% AI service costs
Scaling Challenges
Contingency:
Incremental architecture improvements vs. complete rebuild
Timeline Impact:
+4 weeks for major architectural changes
Cost Impact:
+$100K for infrastructure optimization
Market Risks
Slow School Adoption
Contingency:
Pivot to direct-pay parent model
Timeline Impact:
+8 weeks for billing system changes
Cost Impact:
-50% revenue in Year 1, potentially +200% by Year 2
Competitive Response
Contingency:
Accelerated feature development and exclusive partnerships
Timeline Impact:
+6 weeks for advanced differentiation features
Cost Impact:
+$500K for competitive moat building
Education Adoption Cycles
Contingency:
Focus on pilot success stories and gradual expansion with strong founder relationships
Timeline Impact:
Customer acquisition slower than projected - schools take 6-18 months for decisions
Cost Impact:
Extended sales cycles may require additional runway funding
Success Metrics & Milestones
Month 6 (MVP Completion)
Product: All 6 core features functional and tested
Performance: <2-second response times, 99% uptime
Compliance: Full Australian Privacy Act + COPPA compliance
3-5 pilot schools successfully testing platform
Month 12 (Early Traction)
Scale: 20-40 schools, 8,000-16,000 active students
Revenue: $600K-1.2M annual run rate
Outcomes: 15% improvement in student learning metrics
Retention: 85% school retention rate
Month 24 (Australian Scale)
Market Position: Leading AI education platform in Western Australia
Expansion: Operating across 3-4 Australian states
Revenue: $2.4-4.8M annual run rate
Platform: 99.9% uptime, 40,000+ concurrent users supported
Next Actions & Immediate Priorities ✅
The roadmap is ambitious but achievable. Every milestone builds toward our vision of giving every Australian student their own AI Socrates.
This Week
Legal Setup: Begin company registration process
Team Assembly: Finalize Bangladesh development team contracts
Infrastructure: Set up GCP accounts and development environments
Funding: Complete SAFE note documentation for seed investors
Next 30 Days
Technical Foundation: Complete core architecture setup
AI Integration: Implement and test Gemini 2.5 Pro integration
Safety Systems: Deploy dual-LLM content moderation
Pilot Schools: Secure commitments from first 5 schools
90-Day Checkpoint
MVP Core: Socratic AI engine and teacher dashboard functional
Student Interface: Gamification and mobile-responsive design complete
Beta Testing: 20 teachers and 100 students actively using platform
Series A Prep: Traction metrics and fundraising materials ready
This roadmap provides a realistic path to building Australia's leading AI education platform.
Join us in building Australia's leading AI education platform through systematic, sustainable growth.